Long Chen

faster_rcnn_pytorch. Faster RCNN with PyTorch

yolo2-pytorch. YOLOv2 in PyTorch

RoIAlign.pytorch. RoIAlign & crop_and_resize for PyTorch

pytorch2caffe. Convert PyTorch model to Caffemodel

MOTDT. Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification

youdao. 基于python 的命令行下查词工具，使用有道api

crossview_3d_pose_tracking. Dataset of the paper "Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS"

home-assistant-mcp-agent. LiveKit Agent integrated with MCP server of Home Assistant

opencv_js_with_wechat_qrcode. HTML

LLDB-Opencv-Data-Formatter. Python

pytorch-tutorial. tutorial for researchers to learn deep learning with pytorch.

py-motmetrics. :bar_chart: Benchmark multiple object trackers (MOT) in Python

cs231n_assignment. Jupyter Notebook

hustvote. 基于ci和bootscrap的投票系统

flower. Python

LLDB-Eigen-Data-Formatter. LLDB Data Formatter for dense matrices and vectors of the Eigen library

longcw.github.io. HTML

amilan-motchallenge-devkit. MATLAB

simple-faster-rcnn-pytorch. A simplified implemention of Faster R-CNN that replicate performance from origin paper

hust_classroom. 基于flask 查询教室使用情况的小工具

Convolution_LSTM_pytorch. Multi-layer convolution LSTM with Pytorch

mvpose. Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" in CVPR'19

pytorch-faster-rcnn. I would appreciate if someone can retrain the model. The "finetune from scratch" result should be better because the training details have been changed. (And mobilenet training not supported yet.)

human-pose-estimation.pytorch. The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

OnlineMCMTT. Online Multiple Camera Multiple Target Tracking Algorithm implemented by Visual C++

Spatial-Temporal-Pooling-Networks-ReID. Code for our ICCV 2017 paper -- Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification

opencv. Open Source Computer Vision Library

KCFcpp-py-wrapper. Python wrapper for KCFcpp

conda-opencv3. Automated building of OpenCV3 Python bindings

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

binary-human-pose-estimation. This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.