R interface to fast.ai
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Updated
Apr 11, 2024 - HTML
R interface to fast.ai
OpenCL HLS based CNN Accelerator on Intel DE10 Nano FPGA.
A tool for making a training dataset for image classification, mainly for Darknet/YoloV3.
Now open source and free and no support and no updates ;)
ImageNet file xml format to Darknet text format
This repository holds all the required details in a detailed manner which could be used to implement object detection
Detecta o fluxo de veículos e pedestres nas vias. Os dados alimentam um sistema que ajusta os tempos semafóricos conforme a quantidade de veículos registrada na via, dando mais fluidez ao trânsito.
COCO dataset to Yolo format annotations and images downloader, also Negatives categories can be downloaded too.
Customer and Employee classification model for security surveillance using Darknet, YOLOv4 and Tensorflow.
Computer vision in under 5 lines of code.
Use this repository to download the trained #yolov4 model with mAP(Mean accuracy Precision) = 91% to detect for the face mask checks.
vedai dataset for darknet
Aims at helping Policemen to identify a potentially dangerous situation like a person holding a deadly weapon and is trained especially for detection of the presence of GUNS in an image.
This implementation using darknet's pytorch implementation to detect objects and classify them as per the type of grip used by the human hand to interact with the object.
Rust bindings for darknet
Implementing YOLO (object detection algorithm) in PyTorch
BoundingBoxTool is an annotation tool to make trainable data with deep learning support that helps you to make annotations
PyTorch implementation of the Tiny Darknet Image Classification algorithm
working with Darknet YOLO, a real-time object detection system.
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