Roboflow_Yolov3_PyTorch.ipynb

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    "colab": {
      "name": "Roboflow-Yolov3-PyTorch.ipynb",
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      "toc_visible": true,
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/michaelhasey/GAN-ITECTURE/blob/master/Roboflow_Yolov3_PyTorch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fOJTm9flzbmc",
        "colab_type": "text"
      },
      "source": [
        "NOTE: for the most up to date version of this notebook, please copy from\n",
        "\n",
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1ntAL_zI68xfvZ4uCSAF6XT27g0U4mZbW#scrollTo=VHS_o3KGIyXm)\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gwGy3RZgpvUJ",
        "colab_type": "text"
      },
      "source": [
        "## **Training YOLOv3 object detection on a custom dataset**\n",
        "\n",
        "PyTorch Edition! Thanks to [Ultralytics](https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data) for making this simpler.\n",
        "\n",
        "### **Overview**\n",
        "\n",
        "This notebook walks through how to train a YOLOv3 object detection model on your own dataset using Roboflow and Colab.\n",
        "\n",
        "In this specific example, we'll training an object detection model to recognize chess pieces in images. **To adapt this example to your own dataset, you only need to change one line of code in this notebook.**\n",
        "\n",
        "![Chess Example](https://i.imgur.com/nkjobw1.png)\n",
        "\n",
        "### **Our Data**\n",
        "\n",
        "Our dataset of 289 chess images (and 2894 annotations!) is hosted publicly on Roboflow [here](https://public.roboflow.ai/object-detection/chess-full).\n",
        "\n",
        "### **Our Model**\n",
        "\n",
        "We'll be training a YOLOv3 (You Only Look Once) model. This specific model is a one-shot learner, meaning each image only passes through the network once to make a prediction, which allows the architecture to be very performant, viewing up to 60 frames per second in predicting against video feeds.\n",
        "\n",
        "The GitHub repo containing the majority of the code we'll use is available [here](https://github.com/roboflow-ai/yolov3).\n",
        "\n",
        "### **Training**\n",
        "\n",
        "Google Colab provides free GPU resources. Click \"Runtime\" → \"Change runtime type\" → Hardware Accelerator dropdown to \"GPU.\"\n",
        "\n",
        "Colab does have memory limitations, and notebooks must be open in your browser to run. Sessions automatically clear themselves after 12 hours.\n",
        "\n",
        "### **Inference**\n",
        "\n",
        "We'll leverage the `detect.py --weights weights/last.pt` script to produce predictions. Arguments are specified below.\n",
        "\n",
        "### **About**\n",
        "\n",
        "[Roboflow](https://roboflow.ai) makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.\n",
        "\n",
        "Developers reduce 50% of their boilerplate code when using Roboflow's workflow, save training time, and increase model reproducibility.\n",
        "\n",
        "#### ![Roboflow Workmark](https://i.imgur.com/WHFqYSJ.png)\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KPLc9DEzIwMZ",
        "colab_type": "code",
        "outputId": "c7374479-f02b-4b07-f208-a5c8a1544582",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "import os\n",
        "import torch\n",
        "from IPython.display import Image, clear_output \n",
        "print('PyTorch %s %s' % (torch.__version__, torch.cuda.get_device_properties(0) if torch.cuda.is_available() else 'CPU'))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "PyTorch 1.4.0 _CudaDeviceProperties(name='Tesla P100-PCIE-16GB', major=6, minor=0, total_memory=16280MB, multi_processor_count=56)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VHS_o3KGIyXm",
        "colab_type": "code",
        "outputId": "6c27a504-452c-4184-c0af-81d7db2ec0cb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        }
      },
      "source": [
        "!git clone https://github.com/roboflow-ai/yolov3  # clone"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'yolov3'...\n",
            "remote: Enumerating objects: 8436, done.\u001b[K\n",
            "remote: Total 8436 (delta 0), reused 0 (delta 0), pack-reused 8436\u001b[K\n",
            "Receiving objects: 100% (8436/8436), 6.80 MiB | 32.85 MiB/s, done.\n",
            "Resolving deltas: 100% (5819/5819), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RbXo4YJsXiTs",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DdZoG7inXjbS",
        "colab_type": "text"
      },
      "source": [
        "## Get Data from Roboflow\n",
        "\n",
        "Create an export from Roboflow. **Select \"YOLOv3 Darknet\" as the export type.**\n",
        "\n",
        "Our labels will be formatted to our model's architecture."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yRk-zMxnJG6S",
        "colab_type": "code",
        "outputId": "6112ca92-68c1-4c06-99cf-437ed9707e65",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        }
      },
      "source": [
        "# REPLACE THIS LINK WITH YOUR OWN\n",
        "!curl -L https://app.roboflow.ai/ds/REPLACE-THIS-LINK | jar -x\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100   890  100   890    0     0   1058      0 --:--:-- --:--:-- --:--:--  1058\n",
            "100 7263k  100 7263k    0     0  5608k      0  0:00:01  0:00:01 --:--:-- 28.6M\n",
            "(23) Failed writing body\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jqdjyjCsX1yn",
        "colab_type": "text"
      },
      "source": [
        "## Organize data and labels for Ultralytics YOLOv3 Implementation\n",
        "\n",
        "Ultalytics's implemention of YOLOv3 calls for [a specific file management](https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data) where our images are in a folder called `images` and corresponding labels in a folder called `labels`. The image and label names must match identically. Fortunately, our files are named appropriately from Roboflow.\n",
        "\n",
        "We need to reorganize the folder structure slightly."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FbtE_d7MJG8p",
        "colab_type": "code",
        "outputId": "71afa17a-7556-41c7-cbe6-f2d452fd9974",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd train"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/valid/train\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yh2wijsTYQRf",
        "colab_type": "code",
        "outputId": "b122feaf-430e-456b-fea9-9effb87a3f4a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
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      "source": [
        "%ls"
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            "fb586797e8ad818c7e3e3a6411f73d84_jpg.rf.52352f51cdef2f343756ef296af65d9e.txt\n",
            "fc9d7bc0453cb3324406401c00224d30_jpg.rf.c596d992843d8a35d80cadf5489e0770.jpg\n",
            "fc9d7bc0453cb3324406401c00224d30_jpg.rf.c596d992843d8a35d80cadf5489e0770.txt\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A12oR638YeRB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%mkdir labels\n",
        "%mkdir images"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CZnDDHXxf-yz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%mv *.jpg ./images/\n",
        "%mv *.txt ./labels/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MDXCKc84mCuB",
        "colab_type": "code",
        "outputId": "601c0cb8-640f-4605-dd7f-0ffee79001d4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd images"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/valid/train/images\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jCDdU0ZzmELL",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# create Ultralytics specific text file of training images\n",
        "file = open(\"train_images_roboflow.txt\", \"w\") \n",
        "for root, dirs, files in os.walk(\".\"):\n",
        "    for filename in files:\n",
        "      # print(\"../train/images/\" + filename)\n",
        "      if filename == \"train_images_roboflow.txt\":\n",
        "        pass\n",
        "      else:\n",
        "        file.write(\"../train/images/\" + filename + \"\\n\")\n",
        "file.close()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZM13TrHOmPLF",
        "colab_type": "code",
        "outputId": "d7af35b4-7b08-4a59-9937-10cf33f94412",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "%cat train_images_roboflow.txt"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "../train/images/1a530d578f3f0bf3497bfeff3d953025_jpg.rf.2a30081d7234f714736032af1dcb4193.jpg\n",
            "../train/images/f52e1873b8583f8bf4f7ddf6e9649f07_jpg.rf.e9f936cd405597e058a5d399d094078d.jpg\n",
            "../train/images/f3e64e9dd12b65b941c142d142b33ef5_jpg.rf.a9db857ababa4d01d03eb09a527d29fc.jpg\n",
            "../train/images/97aeb1f9b745a929e9ac0848acb53a1a_jpg.rf.5997f0ef95b45103711d4fdc239c2691.jpg\n",
            "../train/images/9c153a9c9798dab948d4260eb109b315_jpg.rf.04a431391f78af71e5ebaf9d51d91faf.jpg\n",
            "../train/images/65ba27557c78850168b1df70a3ce4ff7_jpg.rf.ef005cf77310609923ff2fb962581194.jpg\n",
            "../train/images/36066ba85572ce99198f1a21c2c8bbff_jpg.rf.1bb4689be2417ff995fbd5e22876c353.jpg\n",
            "../train/images/4d7820ad9fb4fe69d5168e1d7317dd02_jpg.rf.1279c1ccceab06443a62004f2800d891.jpg\n",
            "../train/images/8bb72e70f0560095885586deba37a524_jpg.rf.addedc80f989194e077b8c53871457b8.jpg\n",
            "../train/images/5e71cb8d41c333a18e799ef0004b040c_jpg.rf.d65a0847e82174366d01e29a636074e6.jpg\n",
            "../train/images/47e842dd95735a11cf92c0ddf1161193_jpg.rf.563bd525e9210a59e275a565317b890f.jpg\n",
            "../train/images/edd285915356686fb53fb52c1ded0e53_jpg.rf.9e9b27a0d423c4ec63e6e1dd825d8ced.jpg\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iUO7VlGigRZO",
        "colab_type": "code",
        "outputId": "28c05974-0771-41b5-8ead-62dea5978621",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd ../../valid"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/valid/valid\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UbNBFoRHgVl-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%mkdir labels\n",
        "%mkdir images"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LGPh9B4ggVom",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%mv *.jpg ./images/\n",
        "%mv *.txt ./labels/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QvP5SAd0mIXc",
        "colab_type": "code",
        "outputId": "96e17ab9-60e0-47b9-efa9-9ef07e94f52d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd images"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/valid/valid/images\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HoX2KlMbmKGM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# create Ultralytics specific text file of validation images\n",
        "file = open(\"valid_images_roboflow.txt\", \"w\") \n",
        "for root, dirs, files in os.walk(\".\"):\n",
        "    for filename in files:\n",
        "      # print(\"../train/images/\" + filename)\n",
        "      if filename == \"valid_images_roboflow.txt\":\n",
        "        pass\n",
        "      else:\n",
        "        file.write(\"../valid/images/\" + filename + \"\\n\")\n",
        "file.close()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vZDI0ghdhy4i",
        "colab_type": "code",
        "outputId": "14aed3db-ccc1-44b9-b6a2-a98b7b8ca55b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "%cat valid_images_roboflow.txt"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "../valid/images/15cc23c777b00d0e123f9df468f2852b_jpg.rf.69a7ec25c26ca626a9c3d3455989715a.jpg\n",
            "../valid/images/5c19d3260762f5daa632d952bc0074d6_jpg.rf.ae475688a20af8344bcd8d9b7e37e853.jpg\n",
            "../valid/images/0b2252c93c53e1b2e61d485b22328e2e_jpg.rf.c61f1858920b2e783ee048a397a59d02.jpg\n",
            "../valid/images/97ed198b00b5491747d3b425df8e7096_jpg.rf.aeabc0f0f9a1bb963c3001f4903ac38a.jpg\n",
            "../valid/images/86afe95de5471af5cef08e6ae4d9acbb_jpg.rf.c90d58d63f997b978c67626c194fc2bd.jpg\n",
            "../valid/images/d3b9309d00a2b671407b918ea867a935_jpg.rf.9d8fcbced3aa4c09446abb6ed0c29233.jpg\n",
            "../valid/images/424d6506342fa2471e71586675ed092c_jpg.rf.988e7de42f51f3f688417fa6b924af55.jpg\n",
            "../valid/images/55be99616328f83dcbfe8c18e1387c0e_jpg.rf.36754078c78920a961830dfaaf13e0a6.jpg\n",
            "../valid/images/d4f7caf01359b9a757c930140f746fad_jpg.rf.ccdaecd58d74f3bc49babbde826e2e60.jpg\n",
            "../valid/images/e53bf8a0e692a4ccd5f1dc2bc19e7751_jpg.rf.469657a97d400016f17a01731956ed43.jpg\n",
            "../valid/images/3312e3bb60e338e9c1a614f0f8960dd8_jpg.rf.cc13ce4af944d2aeb4afaa7959fd72fd.jpg\n",
            "../valid/images/31b83afa654d5dd874c3f0111126ab7f_jpg.rf.578d68b987125c78d5974e1ba6384358.jpg\n",
            "../valid/images/05ad7223827a29a8283f6c4b2490f52f_jpg.rf.5039e263463db5153a0dd8439b462588.jpg\n",
            "../valid/images/eca42980852e6c5db10ee84aac23f9c6_jpg.rf.746317745a1bb86f4da60bfd8eb2db36.jpg\n",
            "../valid/images/793c79d55c8a252b7a954d074b1d6498_jpg.rf.3af5b0c88f75574c8733ad6a9a511285.jpg\n",
            "../valid/images/688232b6869708fe78907898f8f8b5f9_jpg.rf.6bb2e677c81378bf20e3e43710e505e9.jpg\n",
            "../valid/images/ec418cafd39d7c5a69cc0642a08b2a08_jpg.rf.f246d01cc6a67541b8a6d383c197e7dc.jpg\n",
            "../valid/images/e7edc4f1b8d3cc1069b96d0358e066c9_jpg.rf.a3de5df2eba3d7ce93e6f4bc5f9d8f3f.jpg\n",
            "../valid/images/abd65798d9952a27e087710eb8bddf32_jpg.rf.4a213f8a0a18bbd6a6445a5c78b72846.jpg\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N_dkaQmirgA-",
        "colab_type": "text"
      },
      "source": [
        "## Set up model config\n",
        "\n",
        "We should configure our model for training.\n",
        "\n",
        "This requires editing the `roboflow.data` file, which tells our model where to find our data, our numbers of classes, and our class label names.\n",
        "\n",
        "Our paths for our labels and images are correct.\n",
        "\n",
        "But we need to update our class names. That's handled below..\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "55J0O7LRuoTv",
        "colab_type": "code",
        "outputId": "4d3745e5-2a4c-4abc-b3d6-992674344995",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd ../../yolov3/data"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/valid/yolov3/data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IaVwHzdprdSN",
        "colab_type": "code",
        "outputId": "3b85304c-3b1a-49a5-97b6-fd50356b889e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 230
        }
      },
      "source": [
        "# display class labels imported from Roboflow\n",
        "%cat ../../train/_darknet.labels"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "black-bishop\n",
            "black-king\n",
            "black-knight\n",
            "black-pawn\n",
            "black-queen\n",
            "black-rook\n",
            "white-bishop\n",
            "white-king\n",
            "white-knight\n",
            "white-pawn\n",
            "white-queen\n",
            "white-rook"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Kq-kLpfNlZTQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# convert .labels to .names for Ultralytics specification\n",
        "%cat ../../train/_darknet.labels > ../../train/roboflow_data.names"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gol1kFpN0FQh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def get_num_classes(labels_file_path):\n",
        "    classes = 0\n",
        "    with open(labels_file_path, 'r') as f:\n",
        "      for line in f:\n",
        "        classes += 1\n",
        "    return classes"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yG4X2vQh0rZf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# update the roboflow.data file with correct number of classes\n",
        "import re\n",
        "\n",
        "num_classes = get_num_classes(\"../../train/_darknet.labels\")\n",
        "with open(\"roboflow.data\") as f:\n",
        "    s = f.read()\n",
        "with open(\"roboflow.data\", 'w') as f:\n",
        "    \n",
        "    # Set number of classes num_classes.\n",
        "    s = re.sub('classes=[0-9]+',\n",
        "               'classes={}'.format(num_classes), s)\n",
        "    f.write(s)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "un6Or-F31M1Z",
        "colab_type": "code",
        "outputId": "d1c066e7-dfe9-46e3-98de-40537ea09c2a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 87
        }
      },
      "source": [
        "# display updated number of classes\n",
        "%cat roboflow.data"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "classes=12\n",
            "train=../train/images/train_images_roboflow.txt\n",
            "valid=../valid/images/valid_images_roboflow.txt\n",
            "names=../train/roboflow_data.names\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iqOa_ogHqhOg",
        "colab_type": "text"
      },
      "source": [
        "## Training our model\n",
        "\n",
        "Once we have our data prepped, we'll train our model using the train script.\n",
        "\n",
        "By default, this script trains for 300 epochs."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3pEzmWztuevf",
        "colab_type": "code",
        "outputId": "fbb7df96-e549-4cc1-f938-dc1584709f98",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd ../"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/valid/yolov3\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gnVZo1BknVC_",
        "colab_type": "code",
        "outputId": "292507ef-d465-4166-d882-2f8bd633a2c0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "!python3 train.py --data data/roboflow.data --epochs 300"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Namespace(accumulate=4, adam=False, batch_size=16, bucket='', cache_images=False, cfg='cfg/yolov3-spp.cfg', data='data/roboflow.data', device='', epochs=300, evolve=False, img_size=[416], multi_scale=False, name='', nosave=False, notest=False, rect=False, resume=False, single_cls=False, var=None, weights='weights/yolov3-spp-ultralytics.pt')\n",
            "Using CUDA device0 _CudaDeviceProperties(name='Tesla P100-PCIE-16GB', total_memory=16280MB)\n",
            "\n",
            "Model Summary: 225 layers, 6.29987e+07 parameters, 6.29987e+07 gradients\n",
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100   408    0   408    0     0   2372      0 --:--:-- --:--:-- --:--:--  2372\n",
            "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\n",
            "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\n",
            "100  240M    0  240M    0     0  33.3M      0 --:--:--  0:00:07 --:--:-- 39.9M\n",
            "Downloading https://drive.google.com/uc?export=download&id=1UcR-zVoMs7DH5dj3N1bswkiQTA4dmKF4 as weights/yolov3-spp-ultralytics.pt... Done (7.6s)\n",
            "Caching labels (202 found, 0 missing, 0 empty, 1 duplicate, for 202 images): 100% 202/202 [00:00<00:00, 7085.39it/s]\n",
            "Reading image shapes: 100% 58/58 [00:00<00:00, 2577.47it/s]\n",
            "Caching labels (58 found, 0 missing, 0 empty, 0 duplicate, for 58 images): 100% 58/58 [00:00<00:00, 7439.44it/s]\n",
            "Using 2 dataloader workers\n",
            "Starting training for 300 epochs...\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "     0/299     8.22G     0.875      2.76      7.97      11.6        76       416: 100% 13/13 [00:13<00:00,  1.00s/it]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:03<00:00,  1.64s/it]\n",
            "                 all        58       386     0.167      0.51      0.39     0.204\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "     1/299     9.64G     0.837       1.3      2.59      4.73       198       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.44it/s]\n",
            "                 all        58       386     0.209     0.906      0.62      0.33\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "     2/299     9.64G     0.879      1.19      1.75      3.82       174       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.46it/s]\n",
            "                 all        58       386     0.272     0.976     0.779     0.409\n",
            "\n",
            "Model Bias Summary:    layer        regression        objectness    classification\n",
            "                          89      -0.12+/-0.35      -3.06+/-1.23      -6.62+/-0.86 \n",
            "                         101       0.03+/-0.27      -2.86+/-0.09      -6.44+/-0.65 \n",
            "                         113       0.15+/-0.32      -4.05+/-0.70      -6.21+/-0.67 \n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "     3/299     9.64G     0.765      1.33      1.33      3.42       100       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.49it/s]\n",
            "                 all        58       386      0.39      0.98      0.83     0.541\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "     4/299     9.64G     0.726       1.2      1.15      3.07        90       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.48it/s]\n",
            "                 all        58       386     0.495     0.975     0.915      0.64\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "     5/299     9.64G     0.676      1.07     0.884      2.63       124       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.47it/s]\n",
            "                 all        58       386     0.546     0.987     0.942     0.684\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "     6/299     9.64G     0.625      1.08     0.804      2.51        75       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.46it/s]\n",
            "                 all        58       386     0.549     0.985     0.932      0.69\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "     7/299     9.64G     0.598      1.08     0.645      2.32       144       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all        58       386     0.654     0.987      0.97     0.773\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "     8/299     9.64G     0.574      1.02     0.566      2.16        78       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.48it/s]\n",
            "                 all        58       386     0.679     0.986     0.959     0.796\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "     9/299     9.64G     0.633     0.999      0.52      2.15       119       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.48it/s]\n",
            "                 all        58       386     0.739     0.988     0.976     0.837\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    10/299     9.64G     0.542      1.05     0.421      2.01        91       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all        58       386     0.757     0.988     0.977     0.846\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    11/299     9.64G     0.551      0.96     0.451      1.96        91       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.777     0.988     0.981     0.861\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    12/299     9.64G     0.541     0.919     0.417      1.88       125       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.772     0.988      0.98     0.862\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    13/299     9.64G     0.525     0.939     0.376      1.84       162       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.815     0.988     0.981     0.888\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    14/299     9.64G     0.556     0.952     0.393       1.9       132       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all        58       386     0.814     0.988     0.979     0.888\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    15/299     9.64G     0.544     0.936     0.325       1.8       129       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.745     0.988     0.975     0.841\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    16/299     9.64G     0.536     0.907     0.301      1.74       149       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all        58       386     0.755     0.979     0.977     0.846\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    17/299     9.64G     0.507     0.938     0.318      1.76       142       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.767     0.986     0.979     0.857\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    18/299     9.64G     0.502     0.874     0.299      1.67       105       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.785      0.99      0.98     0.871\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    19/299     9.64G     0.534     0.841     0.261      1.64       106       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.778      0.99     0.972     0.864\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    20/299     9.64G      0.51      0.82     0.279      1.61       107       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.808     0.987     0.978     0.886\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    21/299     9.64G     0.518     0.872     0.271      1.66       113       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.812     0.984     0.979     0.887\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    22/299     9.64G     0.474      0.84     0.302      1.62        73       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.802     0.987     0.975     0.881\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    23/299     9.64G     0.471     0.861     0.243      1.58       101       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.813     0.987     0.974     0.887\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    24/299     9.64G     0.506     0.889       0.3      1.69       118       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386      0.82     0.987     0.976      0.89\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    25/299     9.64G     0.478     0.813     0.248      1.54       124       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.808     0.987     0.981     0.882\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    26/299     9.64G     0.471     0.935     0.251      1.66        90       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.812     0.987      0.98     0.884\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    27/299     9.64G     0.453      0.84     0.196      1.49        96       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386      0.82     0.985      0.98     0.888\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    28/299     9.64G     0.453     0.825      0.24      1.52       133       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.831     0.988     0.981     0.897\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    29/299     9.64G     0.489     0.848     0.223      1.56       141       416: 100% 13/13 [00:13<00:00,  1.00s/it]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.821     0.984      0.98      0.89\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    30/299     9.64G     0.439      0.85     0.245      1.53       107       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.813     0.984      0.98     0.883\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    31/299     9.64G     0.463     0.778     0.251      1.49       117       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.834     0.984      0.98     0.896\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    32/299     9.64G     0.487     0.769     0.232      1.49        82       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.834     0.986      0.98     0.897\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    33/299     9.64G     0.457     0.823     0.208      1.49        80       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.827     0.987     0.981     0.894\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    34/299     9.64G     0.481     0.844     0.178       1.5       107       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.837      0.99     0.982     0.902\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    35/299     9.64G     0.422     0.793     0.207      1.42       127       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.836      0.99     0.981     0.901\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    36/299     9.64G     0.474      0.85     0.206      1.53       139       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.845      0.99     0.982     0.907\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    37/299     9.64G     0.451     0.806       0.2      1.46       104       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.849     0.985     0.982     0.908\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    38/299     9.64G     0.452     0.753     0.196       1.4        99       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.855      0.99     0.981     0.913\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    39/299     9.64G     0.471     0.807     0.176      1.45       131       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.865     0.985     0.983     0.918\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    40/299     9.64G     0.467     0.822     0.192      1.48       141       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.867     0.985     0.983     0.919\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    41/299     9.64G     0.455     0.848     0.208      1.51       130       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.857     0.985     0.983     0.913\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    42/299     9.64G     0.446     0.763     0.179      1.39        75       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.861     0.985     0.982     0.915\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    43/299     9.64G     0.455     0.736     0.195      1.38       145       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.857     0.985     0.982     0.912\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    44/299     9.64G     0.432     0.892     0.186      1.51       145       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.864      0.99     0.983      0.92\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    45/299     9.64G     0.438     0.901      0.17      1.51       147       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.875      0.99     0.983     0.926\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    46/299     9.64G     0.429     0.913     0.165      1.51       120       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.898      0.99     0.983      0.94\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    47/299     9.64G     0.452     0.788     0.178      1.42        84       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.908      0.99     0.983     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    48/299     9.64G     0.397     0.822     0.154      1.37       137       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.898      0.99     0.982      0.94\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    49/299     9.64G     0.456     0.775     0.161      1.39        58       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.893      0.99     0.981     0.936\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    50/299     9.64G     0.423      0.81     0.144      1.38       146       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.891     0.987     0.981     0.934\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    51/299     9.64G     0.441     0.785     0.158      1.38       135       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.893     0.987     0.981     0.935\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    52/299     9.64G     0.445     0.857     0.165      1.47       167       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.909     0.989     0.982     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    53/299     9.64G     0.427     0.848     0.174      1.45       100       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386      0.91      0.99     0.984     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    54/299     9.64G     0.409       0.9      0.14      1.45       170       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386      0.91      0.99     0.984     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    55/299     9.64G     0.428      0.76      0.18      1.37       122       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.909      0.99     0.983     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    56/299     9.64G     0.436     0.853     0.143      1.43        74       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.906     0.989     0.983     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    57/299     9.64G     0.411     0.723      0.13      1.26       142       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.907     0.988     0.983     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    58/299     9.64G     0.419     0.797     0.153      1.37       115       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386      0.91     0.988      0.98     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    59/299     9.64G     0.425     0.688      0.16      1.27        60       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.909     0.986      0.98     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    60/299     9.64G      0.41     0.768     0.169      1.35        70       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.913      0.99     0.981     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    61/299     9.64G     0.412     0.862      0.15      1.42       132       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.916      0.99     0.983      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    62/299     9.64G     0.428     0.728     0.161      1.32       149       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.915      0.99     0.983      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    63/299     9.64G     0.393     0.776     0.154      1.32       127       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.911      0.99     0.981     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    64/299     9.64G     0.421     0.732     0.139      1.29       120       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.907     0.989     0.979     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    65/299     9.64G     0.395      0.74     0.134      1.27       114       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.908     0.989     0.982     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    66/299     9.64G     0.418     0.815     0.157      1.39       148       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.907      0.99     0.979     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    67/299     9.64G      0.39      0.87     0.147      1.41       114       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.914      0.99     0.981     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    68/299     9.64G     0.412     0.751     0.152      1.32       142       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.912      0.99      0.98     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    69/299     9.64G     0.414     0.781     0.133      1.33       143       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.916      0.99      0.98     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    70/299     9.64G     0.397     0.742     0.141      1.28       144       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.916      0.99      0.98     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    71/299     9.64G     0.423     0.755     0.149      1.33       133       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.911     0.988     0.982     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    72/299     9.64G     0.403     0.753     0.142       1.3       173       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911     0.986     0.982     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    73/299     9.64G     0.369     0.854     0.156      1.38       125       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.904     0.986     0.981      0.94\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    74/299     9.64G     0.399     0.822     0.127      1.35       127       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.901     0.986     0.979     0.939\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    75/299     9.64G     0.439     0.753     0.115      1.31       102       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.897     0.984     0.978     0.935\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    76/299     9.64G     0.364     0.795      0.14       1.3       105       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.901     0.987     0.979     0.939\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    77/299     9.64G     0.409      0.81      0.15      1.37        87       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.898      0.99     0.981      0.94\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    78/299     9.64G     0.399     0.835      0.14      1.37       149       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.898      0.99     0.979     0.939\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    79/299     9.64G     0.401     0.759      0.15      1.31       114       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.907      0.99     0.978     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    80/299     9.64G     0.395     0.825      0.16      1.38       141       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.909     0.987     0.978     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    81/299     9.64G     0.402     0.811     0.157      1.37       133       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.902     0.987     0.977     0.939\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    82/299     9.64G     0.388     0.778     0.134       1.3        50       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.908     0.987      0.98     0.943\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    83/299     9.64G      0.37      0.76     0.134      1.26       100       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all        58       386     0.911      0.99     0.981     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    84/299     9.64G     0.389     0.711     0.135      1.23       115       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911      0.99      0.98     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    85/299     9.64G     0.391     0.788     0.138      1.32        68       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386      0.91      0.99     0.981     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    86/299     9.64G     0.386     0.868      0.15       1.4       110       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911      0.99     0.984     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    87/299     9.64G     0.389     0.802     0.129      1.32       135       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386       0.9      0.99     0.984     0.941\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    88/299     9.64G     0.396     0.685    0.0975      1.18       114       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.896      0.99     0.981     0.938\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    89/299     9.64G     0.387     0.764     0.138      1.29       148       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.896      0.99     0.978     0.939\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    90/299     9.64G     0.379     0.689     0.158      1.23        93       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.894     0.987     0.978     0.936\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    91/299     9.64G     0.352     0.758     0.125      1.23       157       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.884      0.99      0.98     0.932\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    92/299     9.64G     0.382     0.767      0.12      1.27       134       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.882      0.99     0.979     0.931\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    93/299     9.64G     0.367     0.685     0.124      1.18        78       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.894      0.99      0.98     0.937\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    94/299     9.64G     0.371     0.743     0.124      1.24       109       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386      0.89      0.99     0.982     0.936\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    95/299     9.64G     0.368     0.755    0.0968      1.22       132       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all        58       386     0.899      0.99     0.981     0.941\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    96/299     9.64G     0.391     0.707     0.123      1.22        67       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.907      0.99     0.984     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    97/299     9.64G     0.369     0.762      0.14      1.27       101       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.912      0.99     0.984     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    98/299     9.64G      0.38     0.794     0.116      1.29        81       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.918      0.99     0.981     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "    99/299     9.64G     0.334     0.841    0.0992      1.27       149       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all        58       386     0.907      0.99     0.981     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   100/299     9.64G     0.356     0.757     0.122      1.23        91       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.899      0.99     0.979      0.94\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   101/299     9.64G     0.366     0.814     0.132      1.31       109       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.897      0.99     0.978     0.939\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   102/299     9.64G     0.368     0.732     0.108      1.21       123       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.898      0.99     0.978      0.94\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   103/299     9.64G     0.379     0.816     0.125      1.32        91       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.904      0.99     0.981     0.943\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   104/299     9.64G     0.345     0.711     0.117      1.17       124       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.903      0.99     0.981     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   105/299     9.64G     0.363     0.774     0.113      1.25       171       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.902     0.988      0.98     0.941\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   106/299     9.64G      0.38      0.83     0.104      1.31       124       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.906     0.986      0.98     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   107/299     9.64G     0.357     0.707     0.115      1.18       146       416: 100% 13/13 [00:09<00:00,  1.33it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.902     0.985      0.98     0.939\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   108/299     9.64G     0.362     0.863     0.115      1.34       195       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.904     0.986     0.976      0.94\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   109/299     9.64G     0.373     0.714     0.103      1.19       155       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.904     0.986     0.977     0.941\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   110/299     9.64G      0.34     0.726     0.103      1.17       152       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.904     0.986     0.975     0.941\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   111/299     9.64G     0.354     0.821    0.0981      1.27       164       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.905     0.986     0.975     0.941\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   112/299     9.64G     0.362     0.723     0.121      1.21       117       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386      0.91     0.989     0.981     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   113/299     9.64G     0.365     0.744     0.103      1.21       105       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.906      0.99     0.981     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   114/299     9.64G     0.361     0.796     0.109      1.27        45       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.909      0.99      0.98     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   115/299     9.64G     0.351     0.732    0.0981      1.18       150       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.909      0.99      0.98     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   116/299     9.64G     0.358     0.659    0.0937      1.11        64       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.912      0.99     0.982     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   117/299     9.64G     0.383     0.705     0.101      1.19       168       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.912      0.99     0.982     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   118/299     9.64G     0.344      0.67     0.112      1.13       124       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.916      0.99     0.985      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   119/299     9.64G     0.358     0.739    0.0978      1.19        67       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.918      0.99     0.983     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   120/299     9.64G     0.349     0.721    0.0899      1.16       113       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386      0.92      0.99     0.982     0.952\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   121/299     9.64G     0.337      0.71      0.14      1.19       103       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.916      0.99     0.982      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   122/299     9.64G     0.327     0.742    0.0954      1.16       141       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.907      0.99     0.981     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   123/299     9.64G     0.346      0.73     0.108      1.18       101       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.905      0.99     0.981     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   124/299     9.64G     0.369     0.714     0.113       1.2        58       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.902      0.99     0.981     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   125/299     9.64G     0.351     0.675     0.122      1.15        99       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.904      0.99     0.981     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   126/299     9.64G      0.34     0.796     0.104      1.24       107       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.907      0.99     0.981     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   127/299     9.64G     0.318     0.566     0.112     0.996        64       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.905      0.99     0.981     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   128/299     9.64G     0.355     0.747     0.108      1.21       147       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.58it/s]\n",
            "                 all        58       386     0.911      0.99     0.981     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   129/299     9.64G     0.328     0.703    0.0878      1.12       129       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.915      0.99     0.981     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   130/299     9.64G     0.337     0.652       0.1      1.09       150       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.918      0.99      0.98     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   131/299     9.64G     0.348     0.751     0.113      1.21       128       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.916      0.99     0.978      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   132/299     9.64G     0.339     0.725     0.106      1.17       122       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.911      0.99      0.98     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   133/299     9.64G     0.339     0.737     0.101      1.18       134       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.907     0.989      0.98     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   134/299     9.64G     0.335     0.678     0.101      1.11        43       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.914     0.989      0.98     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   135/299     9.64G     0.327     0.661     0.104      1.09        33       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.917      0.99      0.98      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   136/299     9.64G     0.331     0.747    0.0887      1.17       102       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.919      0.99     0.981     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   137/299     9.64G     0.321     0.699     0.122      1.14       104       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.915      0.99     0.981     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   138/299     9.64G     0.342     0.732     0.108      1.18       165       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.907      0.99     0.981     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   139/299     9.64G     0.339     0.738       0.1      1.18        99       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.904      0.99     0.981     0.943\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   140/299     9.64G     0.324     0.674    0.0958      1.09        84       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   141/299     9.64G     0.341     0.774       0.1      1.22       149       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.915      0.99     0.979     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   142/299     9.64G     0.314     0.674     0.105      1.09        91       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.915      0.99      0.98      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   143/299     9.64G     0.339      0.67     0.091       1.1       103       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.914      0.99     0.982     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   144/299     9.64G     0.321     0.749     0.107      1.18       124       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386      0.91      0.99     0.982     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   145/299     9.64G     0.326     0.681     0.101      1.11        83       416: 100% 13/13 [00:09<00:00,  1.32it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.904      0.99     0.981     0.943\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   146/299     9.64G     0.308     0.782    0.0793      1.17        88       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.905      0.99     0.981     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   147/299     9.64G     0.325     0.678     0.111      1.11        74       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.916      0.99     0.981      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   148/299     9.64G     0.325     0.764    0.0971      1.19       141       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.916      0.99     0.981      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   149/299     9.64G     0.322     0.722     0.107      1.15        91       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386      0.91      0.99     0.981     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   150/299     9.64G     0.321     0.703    0.0875      1.11       139       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.904      0.99     0.981     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   151/299     9.64G     0.312      0.64    0.0835      1.04        84       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.903     0.989     0.982     0.941\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   152/299     9.64G     0.312     0.691    0.0802      1.08       151       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.906     0.987     0.981     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   153/299     9.64G     0.299     0.628    0.0749         1       100       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.908     0.987     0.981     0.943\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   154/299     9.64G      0.32     0.807    0.0902      1.22       136       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.911     0.987     0.981     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   155/299     9.64G     0.322     0.717    0.0786      1.12       137       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.913     0.987     0.982     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   156/299     9.64G     0.306     0.688    0.0923      1.09        58       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.917     0.988     0.982     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   157/299     9.64G     0.317     0.645    0.0902      1.05       119       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.921      0.99     0.982     0.953\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   158/299     9.64G     0.324     0.734     0.091      1.15        96       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.921      0.99     0.982     0.953\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   159/299     9.64G     0.306     0.661    0.0878      1.05        71       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.918      0.99     0.982     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   160/299     9.64G     0.304     0.743    0.0876      1.13       155       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.918     0.989     0.981      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   161/299     9.64G     0.322     0.773    0.0984      1.19       177       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.915     0.988     0.981     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   162/299     9.64G     0.305     0.706    0.0899       1.1        79       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.915     0.989     0.981     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   163/299     9.64G     0.305     0.674    0.0758      1.05       106       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.914     0.989     0.981     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   164/299     9.64G     0.305     0.758       0.1      1.16       192       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911     0.989     0.982     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   165/299     9.64G     0.293     0.736     0.114      1.14       108       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.915      0.99     0.982     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   166/299     9.64G     0.297     0.688    0.0916      1.08        92       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.915      0.99     0.982     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   167/299     9.64G     0.312     0.645    0.0926      1.05        81       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.912      0.99     0.982     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   168/299     9.64G     0.306      0.71    0.0865       1.1       132       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.909      0.99     0.982     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   169/299     9.64G     0.314     0.737     0.088      1.14        73       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.905      0.99     0.982     0.943\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   170/299     9.64G     0.304     0.724    0.0768       1.1        71       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.906      0.99     0.982     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   171/299     9.64G     0.298     0.764    0.0743      1.14       124       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.907      0.99     0.982     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   172/299     9.64G     0.291     0.678    0.0951      1.06       105       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.913      0.99     0.981     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   173/299     9.64G     0.294     0.718    0.0888       1.1       116       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.912      0.99     0.981     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   174/299     9.64G     0.297     0.698    0.0898      1.09       111       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.915      0.99     0.979     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   175/299     9.64G     0.289     0.684    0.0921      1.06       110       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.916      0.99     0.979      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   176/299     9.64G     0.289     0.776    0.0802      1.15       139       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.918      0.99      0.98     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   177/299     9.64G     0.285     0.703    0.0951      1.08       101       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.919      0.99      0.98     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   178/299     9.64G       0.3     0.728    0.0664      1.09       133       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.918      0.99     0.981     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   179/299     9.64G     0.299       0.7    0.0927      1.09       117       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.919      0.99     0.981     0.952\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   180/299     9.64G     0.299     0.684    0.0912      1.07       141       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.917      0.99     0.981      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   181/299     9.64G     0.294     0.639    0.0772      1.01        94       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.906      0.99     0.981     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   182/299     9.64G     0.287     0.675    0.0747      1.04       129       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.904      0.99     0.981     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   183/299     9.64G     0.294     0.711    0.0854      1.09        95       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.909      0.99     0.981     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   184/299     9.64G     0.287     0.683    0.0838      1.05       111       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.908      0.99     0.981     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   185/299     9.64G     0.283     0.724    0.0736      1.08       140       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.907      0.99     0.981     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   186/299     9.64G     0.293     0.703    0.0732      1.07       103       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.905      0.99     0.979     0.943\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   187/299     9.64G     0.287     0.649    0.0854      1.02       153       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.904      0.99     0.979     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   188/299     9.64G     0.288     0.689    0.0741      1.05       109       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.904      0.99     0.979     0.943\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   189/299     9.64G     0.308     0.668     0.102      1.08       109       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.904     0.989     0.978     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   190/299     9.64G     0.294     0.653    0.0712      1.02        80       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.908      0.99     0.978     0.945\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   191/299     9.64G     0.289     0.638    0.0707     0.997        66       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.914      0.99     0.981     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   192/299     9.64G      0.29     0.787    0.0825      1.16       117       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.916      0.99     0.981     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   193/299     9.64G     0.279     0.681    0.0768      1.04       105       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.915      0.99     0.981     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   194/299     9.64G     0.288     0.729      0.08       1.1       117       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.913      0.99     0.981     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   195/299     9.64G     0.295     0.724    0.0838       1.1        53       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.912      0.99     0.981     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   196/299     9.64G     0.287     0.679    0.0646      1.03        81       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.912      0.99     0.981     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   197/299     9.64G     0.291     0.671    0.0675      1.03       117       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.982     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   198/299     9.64G      0.29     0.724    0.0972      1.11       184       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386      0.91      0.99     0.981     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   199/299     9.64G     0.285     0.628    0.0614     0.975        97       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.905      0.99     0.981     0.944\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   200/299     9.64G      0.29     0.772    0.0707      1.13       147       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.903      0.99     0.981     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   201/299     9.64G     0.282      0.73    0.0868       1.1       101       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.904      0.99      0.98     0.943\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   202/299     9.64G     0.281     0.627    0.0801     0.988        76       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.902      0.99     0.979     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   203/299     9.64G     0.279     0.743    0.0879      1.11       169       416: 100% 13/13 [00:09<00:00,  1.33it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.903      0.99     0.979     0.942\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   204/299     9.64G     0.286      0.72    0.0824      1.09        82       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.906      0.99     0.978     0.943\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   205/299     9.64G     0.282     0.697    0.0682      1.05       120       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.909      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   206/299     9.64G     0.281     0.686     0.067      1.03        93       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   207/299     9.64G     0.277     0.692    0.0725      1.04       124       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.912      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   208/299     9.64G     0.277     0.641    0.0812     0.999        92       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.913      0.99     0.978     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   209/299     9.64G     0.286     0.641    0.0716     0.999       108       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.913      0.99     0.978     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   210/299     9.64G     0.277     0.642     0.076     0.995       120       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.912      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   211/299     9.64G      0.28     0.666    0.0642      1.01       119       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.52it/s]\n",
            "                 all        58       386     0.912      0.99     0.979     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   212/299     9.64G     0.278      0.76    0.0722      1.11       174       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.45it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   213/299     9.64G      0.29     0.804    0.0748      1.17       154       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   214/299     9.64G     0.272     0.782    0.0704      1.12       141       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   215/299     9.64G     0.273     0.614    0.0703     0.957        88       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.913      0.99     0.978     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   216/299     9.64G     0.272     0.658      0.07         1        86       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.912      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   217/299     9.64G     0.275     0.612    0.0608     0.948       115       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.912      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   218/299     9.64G     0.281     0.697    0.0848      1.06       150       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   219/299     9.64G     0.277     0.632    0.0843     0.993        99       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   220/299     9.64G     0.272     0.781    0.0725      1.13       180       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   221/299     9.64G     0.275     0.691    0.0761      1.04       130       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.913      0.99     0.978     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   222/299     9.64G     0.279     0.575    0.0761      0.93        74       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.914      0.99     0.978     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   223/299     9.64G     0.281     0.764    0.0637      1.11       134       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.914      0.99     0.978     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   224/299     9.64G     0.274     0.728    0.0898      1.09       104       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.915      0.99     0.978     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   225/299     9.64G     0.277     0.722    0.0689      1.07       124       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.916      0.99     0.978      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   226/299     9.64G     0.275      0.63    0.0767     0.982        61       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.917      0.99     0.978      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   227/299     9.64G     0.277      0.67    0.0717      1.02       126       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.918      0.99     0.979     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   228/299     9.64G     0.281      0.66    0.0611         1        96       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.918      0.99     0.979     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   229/299     9.64G     0.277     0.646    0.0655     0.988       112       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.918      0.99     0.979     0.951\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   230/299     9.64G     0.285     0.703    0.0894      1.08        88       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.917      0.99     0.978      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   231/299     9.64G     0.272     0.618    0.0533     0.943        90       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.916      0.99     0.978      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   232/299     9.64G     0.272     0.628    0.0665     0.967       108       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.915      0.99     0.978     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   233/299     9.64G     0.275     0.657    0.0851      1.02       105       416: 100% 13/13 [00:09<00:00,  1.33it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.915      0.99     0.978     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   234/299     9.64G      0.27     0.673    0.0668      1.01       120       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.915      0.99     0.978     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   235/299     9.64G     0.267     0.672    0.0585     0.998       127       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.915      0.99     0.978     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   236/299     9.64G     0.272     0.741    0.0799      1.09       142       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.916      0.99     0.978     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   237/299     9.64G     0.276     0.661    0.0864      1.02       105       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.915      0.99     0.978     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   238/299     9.64G     0.275     0.649    0.0683     0.991        90       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.915      0.99     0.979     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   239/299     9.64G     0.281     0.697    0.0743      1.05       165       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.914      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   240/299     9.64G      0.27     0.632    0.0659     0.968       130       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   241/299     9.64G     0.262      0.69    0.0607      1.01       132       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   242/299     9.64G     0.286     0.613    0.0641     0.963        83       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   243/299     9.64G     0.277     0.744    0.0717      1.09       137       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   244/299     9.64G     0.269     0.653    0.0744     0.997       109       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   245/299     9.64G     0.269     0.677    0.0545         1       182       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.912      0.99     0.979     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   246/299     9.64G     0.272     0.697    0.0654      1.03        83       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   247/299     9.64G     0.258     0.635    0.0558     0.949       166       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   248/299     9.64G      0.27     0.693    0.0712      1.04       125       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   249/299     9.64G     0.276     0.736    0.0752      1.09        76       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   250/299     9.64G     0.277     0.693    0.0523      1.02       119       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.914      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   251/299     9.64G     0.274     0.721     0.055      1.05       134       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.914      0.99     0.979     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   252/299     9.64G     0.274     0.694    0.0684      1.04       123       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.58it/s]\n",
            "                 all        58       386     0.915      0.99     0.979     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   253/299     9.64G     0.276     0.611    0.0731     0.961        86       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.916      0.99     0.979      0.95\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   254/299     9.64G     0.271      0.67    0.0976      1.04       116       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.916      0.99     0.979     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   255/299     9.64G     0.273     0.698    0.0653      1.04       138       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.915      0.99     0.979     0.949\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   256/299     9.64G     0.277     0.755    0.0713       1.1       163       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.914      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   257/299     9.64G     0.271     0.578     0.071      0.92       104       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   258/299     9.64G     0.268     0.668    0.0565     0.993       145       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   259/299     9.64G     0.277     0.649    0.0762         1        89       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   260/299     9.64G      0.27     0.714    0.0696      1.05       138       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   261/299     9.64G     0.268     0.728    0.0606      1.06       131       416: 100% 13/13 [00:09<00:00,  1.33it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   262/299     9.64G     0.273     0.648    0.0675     0.989       121       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   263/299     9.64G     0.267     0.633    0.0543     0.954       102       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   264/299     9.64G     0.277     0.657    0.0629     0.997       106       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   265/299     9.64G     0.273     0.748    0.0813       1.1       145       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   266/299     9.64G     0.267     0.676    0.0685      1.01       105       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.51it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   267/299     9.64G     0.281     0.736    0.0675      1.08       116       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   268/299     9.64G     0.269     0.609     0.071     0.949       112       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   269/299     9.64G     0.265     0.806    0.0565      1.13       162       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   270/299     9.64G     0.265     0.625    0.0568     0.947        86       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.912      0.99     0.979     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   271/299     9.64G     0.275     0.688    0.0599      1.02       124       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   272/299     9.64G     0.263     0.634    0.0629      0.96       122       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   273/299     9.64G     0.272     0.633    0.0737     0.979       119       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.58it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   274/299     9.64G     0.274     0.695    0.0665      1.04       131       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   275/299     9.64G     0.268     0.636    0.0718     0.976        87       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.914      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   276/299     9.64G     0.269     0.676    0.0596         1       118       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.914      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   277/299     9.64G     0.278     0.717    0.0715      1.07       131       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   278/299     9.64G     0.281     0.656    0.0625     0.999        92       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   279/299     9.64G     0.265     0.668    0.0798      1.01        98       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.913      0.99     0.979     0.948\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   280/299     9.64G     0.272     0.727    0.0819      1.08       133       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.912      0.99     0.979     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   281/299     9.64G     0.275     0.726    0.0798      1.08       108       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.911      0.99     0.979     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   282/299     9.64G     0.266     0.706    0.0662      1.04       173       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.58it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   283/299     9.64G     0.275     0.687    0.0723      1.03       163       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   284/299     9.64G     0.269     0.666    0.0718      1.01       103       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   285/299     9.64G     0.267     0.644    0.0719     0.983        77       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.53it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   286/299     9.64G     0.273     0.687    0.0519      1.01        69       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   287/299     9.64G     0.266     0.681    0.0705      1.02       129       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   288/299     9.64G     0.275     0.696     0.068      1.04       115       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   289/299     9.64G     0.271     0.699    0.0704      1.04       118       416: 100% 13/13 [00:09<00:00,  1.36it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   290/299     9.64G     0.265     0.678    0.0592         1       108       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.54it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   291/299     9.64G     0.274     0.675    0.0811      1.03        88       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   292/299     9.64G     0.265      0.64    0.0691     0.974        81       416: 100% 13/13 [00:09<00:00,  1.33it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   293/299     9.64G     0.269     0.711    0.0695      1.05       129       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.55it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   294/299     9.64G     0.272     0.697    0.0714      1.04       124       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   295/299     9.64G      0.27       0.7    0.0475      1.02       131       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   296/299     9.64G      0.27      0.69    0.0693      1.03       105       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.57it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   297/299     9.64G     0.277     0.593    0.0634     0.933       113       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.946\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   298/299     9.64G     0.269     0.727    0.0837      1.08       139       416: 100% 13/13 [00:09<00:00,  1.34it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.911      0.99     0.978     0.947\n",
            "\n",
            "     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size\n",
            "   299/299     9.64G     0.266     0.706    0.0688      1.04       111       416: 100% 13/13 [00:09<00:00,  1.35it/s]\n",
            "               Class    Images   Targets         P         R   mAP@0.5        F1: 100% 2/2 [00:01<00:00,  1.56it/s]\n",
            "                 all        58       386     0.907      0.99     0.978     0.945\n",
            "300 epochs completed in 1.113 hours.\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ztfnbtxWboeG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R32Ak89Kbh9S",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iuRGoRDFq7md",
        "colab_type": "text"
      },
      "source": [
        "## Display training performance\n",
        "\n",
        "We'll use a default provided script to display image results. **For example:**\n",
        "\n",
        "![example results](https://user-images.githubusercontent.com/26833433/63258271-fe9d5300-c27b-11e9-9a15-95038daf4438.png)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gvKy7Isxn0n6",
        "colab_type": "code",
        "outputId": "4d198667-d882-46c2-b9e3-76d7da3af6e5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 438
        }
      },
      "source": [
        "from utils import utils; utils.plot_results()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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sCNYRbtjewuxrH6AxZV2hSCYKtkTylJhBoBEDiTWNbMnAOg94HDgMmAicamb/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\nRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 864x432 with 10 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QvH2bf4Xq-0I",
        "colab_type": "text"
      },
      "source": [
        "## Conduct inference and display results\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ubWkZfNK6RCk",
        "colab_type": "text"
      },
      "source": [
        "### Conduct inference\n",
        "\n",
        "The below script has a few key arguments we're using:\n",
        "- **Weights**: we're specifying the weights to use for our model should be those that we most recently used in training\n",
        "- **Source**: we're specifying the source images we want to use for our predictions\n",
        "- **Names**: we're defining the names we want to use. Here, we're referencing `roboflow_data.names`, which we created from our Roboflow `_darknet.labels`italicized text above."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FB4Lfxt-n0qP",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!python3 detect.py --weights weights/last.pt --source=../test --names=../train/roboflow_data.names"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MhszzhAs41Ed",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Sr9Sg0OH8GOl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jGgVRiJd8HJZ",
        "colab_type": "text"
      },
      "source": [
        "### Displaying our results\n",
        "\n",
        "Ultralytics generates predictions which include the labels and bounding boxes \"printed\" directly on top of our images. They're saved in our `output` directory within the YOLOv3 repo we cloned above."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SdAEEulm4zxI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# import libraries for display\n",
        "%matplotlib inline\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from IPython.display import display, Image\n",
        "from glob import glob\n",
        "import random\n",
        "import PIL"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8TW1ctRD51UO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# plot just one random image prediction\n",
        "filename = random.choice(os.listdir('./output'))\n",
        "print(filename)\n",
        "Image('./output/' + filename)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pzxLXker5dgx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# grab all images from our output directory\n",
        "images = [ PIL.Image.open(f) for f in glob('./output/*') ]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Bn3kGA9M40j4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# convert images to numPy\n",
        "def img2array(im):\n",
        "    if im.mode != 'RGB':\n",
        "        im = im.convert(mode='RGB')\n",
        "    return np.fromstring(im.tobytes(), dtype='uint8').reshape((im.size[1], im.size[0], 3))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O8mMr52J5kxn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# create array of numPy images\n",
        "np_images = [ img2array(im) for im in images ]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pjcEs32q5EYz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# plot ALL results in test directory (NOTE: adjust figsize as you please)\n",
        "for img in np_images:\n",
        "    plt.figure(figsize=(8, 6))\n",
        "    plt.imshow(img)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z-21cwp18sUi",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Kq4-LWZv8tft",
        "colab_type": "text"
      },
      "source": [
        "## Save Our Weights\n",
        "\n",
        "We can save the weights of our model to use them for inference in the future, or pick up training where we left off. \n",
        "\n",
        "We can first save them locally. We'll connect our Google Drive, and save them there.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IZhWKKgFFmQ8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# save locally\n",
        "from google.colab import files\n",
        "files.download('./weights/last.pt')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VQWTAyBIFPZz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RanWc2VNEDFn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# connect Google Drive\n",
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "quJfM0w5Hu0y",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%pwd"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yTDGzdgOHbbQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# create a copy of the weights file with a datetime \n",
        "# and move that file to your own Drive\n",
        "%cp ./weights/last.pt ./weights/last_copy.pt\n",
        "%mv ./weights/last_copy.pt /content/gdrive/My\\ Drive"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ciNW0TPV4z2A",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}