YOLOv5 in PyTorch > ONNX > CoreML > iOS

Minimal PyTorch implementation of YOLOv4

MOT tracking using deepsort and yolov3 with pytorch

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

YOLOv3 ModelCompression MultidatasetTraining

Flops counter for convolutional networks in pytorch framework

YOLOv3 in PyTorch > ONNX > CoreML > iOS

prepare dataset for voc https://github.com/ultralytics/yolov3

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Simultaneous object detection and tracking using center points.

A curated list of neural network pruning resources.

Source codes of "CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection"

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolutio…

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

yolov3 with mobilenet v2 and ASFF

YOLO & RCNN Object Detection and Multi-Object Tracking

Pytorch implementation of Stronger-Yolo with channel pruning and Mobiledevice deployment.

Samples for TensorRT/Deepstream for Tesla & Jetson

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

C++核心指南中文翻译(进行中)

Tensors and Dynamic neural networks in Python with strong GPU acceleration