Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
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Updated
May 10, 2024 - Python
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Open Toolkit for Painless Object Detection
mmdetection3d 代码重点注解笔记
Firescrew - Spotting moving objects on your RTSP network cameras faster than a caffeinated cat!
YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I had applied the YOLO algorithm to detect objects in images ,videos and webcam
YOLO Algorithm (Yolov2 model) trained on COCO Dataset for Object Detection
smart and strong object detection ai built from scatch with some new features 🚀🚀
Repository contains RetinaNet,Yolov3 and Faster RCNN for multi object detection on SIMD Dataset http://vision.seecs.edu.pk/simd/
YOLO version 3 implementation in TensorFlow 2
This is an Object Detection Web App built using Flask. It is developed using OpenCV4.4.0 by re-using a pre-trained TensorFlow Object Detection Model API trained on the COCO dataset.
This is a python project that recognizes truck when truck comes at the weighbridge and take the picture and update on the WhatsApp number.
Object Detection With YOLO
Explore the Computer Vision Interview Prep repository! This GitHub collection offers interview questions and answers for Data Scientists. Elevate your knowledge of computer vision, confidently tackle technical interviews, and succeed in the dynamic field of data science with a focus on computer vision applications.
Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras
Object Detection and Tracking using yolov3 and deepsort
Sini Dek Dekat Yanda is software dangerous object detection.
Object detection using the YOLO (You Only Look Once) algorithm is a popular deep-learning approach that allows for real-time, efficient, and accurate detection of multiple objects in an image or video stream. YOLOv7.cfg and YOLOv3.weights are specific configurations and pre-trained weights for two versions of the YOLO algorithm.
Object detection model inferencing with DETR
Image Object Recogniser with COCO pre trained machine learning model
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