YOLOv5
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Updated
Jul 8, 2022 - Python
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YOLOv5
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Implementation of popular deep learning networks with TensorRT network definition API
PyTorch ,ONNX and TensorRT implementation of YOLOv4
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
Scaled-YOLOv4: Scaling Cross Stage Partial Network
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT
fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测,烟雾检测
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
NVIDIA DeepStream SDK 6.1 / 6.0.1 / 6.0 configuration for YOLO models
YOLOv3 implementation in TensorFlow 2.3.1
A real-time object detection framework of Yolov3/v4 based on caffe
项目注释+论文复现+算法竞赛+Pytorch实践
People detection and optional tracking with Tensorflow backend.
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
A Keras implementation of YOLOv4 (Tensorflow backend)
reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5,YOLOv3, etc.
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