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
Firescrew - Spotting moving objects on your RTSP network cameras faster than a caffeinated cat!
Python library for Object Detection metrics.
Object detection model inferencing with DETR
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.
Real time AI object detection and labelling app build by using ReactJS and react webcam
Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras
mmdetection3d 代码重点注解笔记
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 With YOLO
smart and strong object detection ai built from scatch with some new features 🚀🚀
Image Object Recogniser with COCO pre trained machine learning model
Custom Dataset Training pipeline using Pytorch and Meta's object detection model DETR.
Open Toolkit for Painless Object Detection
Object Detection and Tracking using yolov3 and deepsort
An AI tool that enables the workers to monitor the social distancing in a crowded workplace.
Sini Dek Dekat Yanda is software dangerous object detection.
This repository presents my project on Car Detection Algorithm for Self-Driving Cars using the YOLO object detection algorithm.
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