TensorrtxImplementation of popular deep learning networks with TensorRT network definition API
Tensorflow Yolov4 TfliteYOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
Yolov5YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Yolov3YOLOv3 in PyTorch > ONNX > CoreML > TFLite
R-YOLOv4This is a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detection.
onnx2tensorRttensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version
onnx tensorrt projectSupport Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt
Pruned-OpenVINO-YOLODeploy the pruned YOLOv3/v4/v4-tiny/v4-tiny-3l model on OpenVINO embedded devices
odamODAM - Object detection and Monitoring
Comet.BoxCollection of Object Detection and Segmentation Pipelines🛸🚀
Deep-Learning-with-GoogleColabDeep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.
yolov4-triton-tensorrtThis repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server
simpleAICV-pytorch-ImageNet-COCO-trainingSimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.
YOLOv4MLNetUse the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net
ScaledYOLOv4Scaled-YOLOv4: Scaling Cross Stage Partial Network
ros-yolo-sortYOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)
UdacityThis repo includes all the projects I have finished in the Udacity Nanodegree programs
Paddle-YOLOv4Paddle-YOLOv4,supports training, at least 41.1% mAP.支持训练,至少41.1%mAP。少数的给出精度的复现。
yolo deepsortFast MOT base on yolo+deepsort, support yolo3 and yolo4
yolorimplementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Xtreme-VisionA High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.