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星纬's Projects

open-reid-tracking icon open-reid-tracking

open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included

openface icon openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

openpose icon openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

paddledetection icon paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

person_reid_baseline_pytorch icon person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

pinto_model_zoo icon pinto_model_zoo

A repository that shares tuning results of trained models generated by Tensorflow. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. OpenVINO.

pocketflow icon pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

posefix_release icon posefix_release

Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019

preciseroipooling icon preciseroipooling

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

proxylessnas icon proxylessnas

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332

py-r-fcn icon py-r-fcn

R-FCN with joint training and python support

pypriv icon pypriv

Python API for Deep Learning Development and Deployment

pytorch-captcha-recognition icon pytorch-captcha-recognition

基于CNN训练的一套 "端到端" 的验证码识别模型,使用深度学习+训练数据+大量计算力,纯数字识别率高达 99.99%,数字+字母识别率 96%

pytorch-dpn-pretrained icon pytorch-dpn-pretrained

Dual Path Networks (DPN) supporting pretrained weights converted from original MXNet implementation

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