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openvino2tensorflow

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.

paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

pfld-pytorch

PFLD pytorch Implementation

ppyolotiny-dsst-mot

Multi-object tracking based on PP-YOLO Tiny and DSST algorithm.

pspnet-pytorch

这是一个pspnet-pytorch的源码，可以用于训练自己的模型。

pytorch-networks

Pytorch implementation of cnn network

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

pytorch_image_classifier

Image classification: efficientnet/resnest/seresnext/.....

s3nas

Fast NPU-aware Neural Architecture Search

serve

Model Serving on PyTorch

server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

setr-pytorch

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

sign_corner_detection_mmpose

speech-transformer

利用transformer模型来实现语音识别系统

stdc-seg

Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"

style-transfer

Kang根据前辈们的代码用keras、pytorch改写的CNN图像风格迁移

swin-transformer

a general-purpose Transformer based vision backbone

tensorflow-

Tensorflow实战学习笔记、代码、机器学习进阶系列

tracking_by_detection

A system use yolov3/KCF&DSST/KF to detect,tracking and estimate the target location

transcenter

This is the official implementation of TransCenter. The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.

transtrack

Multiple Object Tracking with Transformer

unbox_yolov5_deepsort_counting

yolov5 deepsort 行人 车辆 跟踪 检测 计数

unipose

We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single stage, with high accuracy, without relying on statistical postprocessing methods. The Waterfall module in UniPose leverages the efficiency of progressive filter- ing in the cascade architecture, while maintaining multi- scale fields-of-view comparable to spatial pyramid config- urations. Additionally, our method is extended to UniPose- LSTM for multi-frame processing and achieves state-of-the- art results for temporal pose estimation in Video. Our re- sults on multiple datasets demonstrate that UniPose, with a ResNet backbone and Waterfall module, is a robust and efficient architecture for pose estimation obtaining state-of- the-art results in single person pose detection for both sin- gle images and videos.

yolact_edge

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

yolo-multi-backbones-attention

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

yolo-v5

:art: Pytorch YOLO v5 训练自己的数据集超详细教程！！！ :art: (提供PDF训练教程下载）

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS

yolov4-pytorch

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

yolov4-tiny-pytorch

这是一个YoloV4-tiny-pytorch的源码，可以用于训练自己的模型。

yolov5_deepsort_pytorch

Real-time multi-person tracker using YOLO v5 and deep sort