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asff

yolov3 with mobilenet v2 and ASFF

awesome-pruning

A curated list of neural network pruning resources.

centertrack

Simultaneous object detection and tracking using center points.

centripetalnet

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

cppcoreguidelines

C++核心指南中文翻译(进行中)

deep-high-resolution-net.pytorch

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

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

deepstream_reference_apps

Samples for TensorRT/Deepstream for Tesla & Jetson

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

hrnet-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-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

imagebasedmodellingeduv1.0

object-detection-and-tracking

YOLO & RCNN Object Detection and Multi-Object Tracking

object_detection_tools

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-yolov4

Minimal PyTorch implementation of YOLOv4

slimming

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

stronger-yolo-pytorch

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

voc2007_for_yolo_torch

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

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS

yolov3-channel-and-layer-pruning

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

yolov3-complete-pruning

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

yolov3-model-pruning

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

yolov3-modelcompression-multidatasettraining-multibackbone

YOLOv3 ModelCompression MultidatasetTraining

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS