sarsigmadelta,github

stereo-vision

C++ example codes for camera calibration, rectification and to build disparity maps

stereo_vision

how to run a stereo vision using 2 cameras RGB

stereopi-cpp-tutorial

Basic C code for Python vs C OpenCV performance comparison

stereovision

Library and utilities for 3d reconstruction from stereo cameras.

superpoint

Efficient neural feature detector and descriptor

tensorflow-cmake

TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake

tensorrt-centernet

tensorrt5 , centernet , centerface, deform conv, int8

tflite-hitnet-stereo-depth-estimation

Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite.

tflite_gles_app

GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT

threadpool

A simple C++11 Thread Pool implementation

threedposeunitybarracuda

Unity sample of 3D pose estimation using Barracuda

tinyhttpd

Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

toolbox

（To be continued）various tools included such as label-tools , data-augmentation , etc.

tracking-solov2-deepsort

The MOT implement by Solov2+DeepSORT with C++ (Libtorch, TensorRT).

unet-zoo

including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.

vibe

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

video-streamer

A realtime object detector that streams video and text to a Flask-SocketIO server.

videopose3d

Efficient 3D human pose estimation in video using 2D keypoint trajectories

yolact_edge

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

yolo-hand-detection

A pre-trained YOLO based hand detection network.

yolov3-channel-and-layer-pruning

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

yolov8-tensorrt

YOLOv8 using TensorRT accelerate !

zed-openpose

Real-time 3D multi-person detection made easy with OpenPose and the ZED

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