ssjatmhmy

ssjatmhmy's Stars

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python30k3738.4k9.5k

• NVIDIA-AI-IOT/torch2trt

  An easy to use PyTorch to TensorRT converter

  Language:Python4.6k73725679

• KaiyangZhou/deep-person-reid

  Torchreid: Deep learning person re-identification in PyTorch.

  Language:Python4.4k1075481.1k

• aiff22/DPED

  Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

  Language:Python1.7k6946368

• karfly/learnable-triangulation-pytorch

  This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!

  Language:Python1.1k52141179

• hellock/icrawler

  A multi-thread crawler framework with many builtin image crawlers provided.

  Language:Python8592295174

• mks0601/3DMPPE_POSENET_RELEASE

  Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

  Language:Python82926137147

• waspinator/pycococreator

  Helper functions to create COCO datasets

  Language:Python7751942179

• huanglianghua/siamfc-pytorch

  A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.

  Language:Python6441162132

• alterzero/DBPN-Pytorch

  The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

  Language:Python5711661165

• got-10k/toolkit

  Official Python toolkit for generic object tracking benchmark GOT-10k and beyond

  Language:Python560207595

• swook/GazeML

  Gaze Estimation using Deep Learning, a Tensorflow-based framework.

  Language:Python5251787140

• seoungwugoh/STM

  Video Object Segmentation using Space-Time Memory Networks

  Language:Python415104182

• davidtvs/PyTorch-ENet

  PyTorch implementation of ENet

  Language:Python393756130

• hysts/pytorch_mpiigaze

  An unofficial PyTorch implementation of MPIIGaze and MPIIFaceGaze

  Language:Python35866687

• mcahny/vps

  Official pytorch implementation for "Video Panoptic Segmentation" (CVPR 2020 Oral)

  Language:Python315152456

• saebyn/munkres-cpp

  Kuhn-Munkres (Hungarian) Algorithm in C++

  Language:C++205182178

• mks0601/Integral-Human-Pose-Regression-for-3D-Human-Pose-Estimation

  PyTorch implementation of "Integral Human Pose Regression", ECCV 2018

  Language:Python193103725

• david-wb/gaze-estimation

  A deep learning based gaze estimation framework implemented with PyTorch

  Language:Jupyter Notebook16771032

• farmingyard/caffe-mobilenet

  A caffe implementation of mobilenet's depthwise convolution layer.

  Language:C++14691581

• andr345/frtm-vos

  Code accompanying the paper Learning Fast and Robust Target Models for Video Object Segmentation

  Language:Python12492824

• Feynman27/pytorch-detect-to-track

  A pytorch implementation of Detect and Track (https://arxiv.org/abs/1710.03958)

  Language:Python12081217

• lyxok1/STM-Training

  training script for space time memory network

  Language:Python11651323

• 2wins/SRMD-pytorch

  A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"

  Language:Python10471425

• VideoObjectSearch/RandPerson

  Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

  Language:Python927818

• zce/weapp-beauty

  一个测颜值的小程序，只为最美的你~

  Language:JavaScript867135

• sabarim/3DC-Seg

  Language:Python5941714

• lucifer443/EfficientDet-Pytorch

  This project is a kind of implementation of EfficientDet(CVPR 2020) using mmdetection.

  Language:Python37454

• YingjieYin/Directional-Deep-Embedding-and-Appearance-Learning-for-Fast-Video-Object-Segmentation

  We propose a directional deep embedding and appearance learning (DDEAL) method, which is free of the online fine-tuning process, for fast VOS. DDEAL achieves a J & F mean score of 74.8% on DAVIS 2017 dataset and an overall score G of 71.3% on the large-scale YouTube-VOS dataset, while retaining a speed of 25 fps with a single NVIDIA TITAN Xp GPU. Furthermore, our faster version runs 31 fps with only a little accuracy loss.

  Language:Python23346

• obilaniu/GradOverride

  A complete PyTorch experiment skeleton

  Language:Python8323