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mxnet2caffe

Convert MXNet model to Caffe model

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

netron

Visualizer for deep learning and machine learning models

new-pac

nn_tools

Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.

nrvqa

no reference image/video quaity assessment(BRISQUE/NIQE/PIQE/DIQA/deepBIQ/VSFA

objectdetection_script

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

onnx-inference-template

Template project for performing inference on ONNX models in Python.

onnx-simplifier

Simplify your onnx model

onnx2caffe

pytorch to caffe by onnx

onnxtocaffe

pytorch -> onnx -> caffe, pytorch to caffe, or other deep learning framework to onnx and onnx to caffe.

open-reid

Open source person re-identification library in python

opencv_transforms_torchvision

opencv reimplement for transforms in torchvision

openface

Face recognition with deep neural networks.

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

openpose

openvino_yolact

openvino_yolov8

用OpenVINO对yolov8导出的onnx模型进行C++的推理, 任务包括图像分类, 目标识别和语义分割, 步骤包括图片前处理, 推理, NMS等

paddleclas

A treasure chest for visual recognition powered by PaddlePaddle

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）

paddlepaddle_code

用PaddlePaddle和Tensorflow实现常用的深度学习算法

parkinge2e

partial-fc-pretrian

patchcore-inspection

person-reid-tiny-baseline

Open source person re-identification in Pytorch

personreid-pyramid

Code for CVPR 2019 paper “Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training”

person_reid_baseline_pytorch

person_reid_baseline_pytorch-1

A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

pf-afn

Official code for "Parser-Free Virtual Try-on via Distilling Appearance Flows", CVPR 2021. https://arxiv.org/abs/2103.04559

pinto_model_zoo

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.