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opencv-rgbdodometry

:snowman: OpenCV RGBD-Odometry (Visual Odometry based RGB-D images)

opencv_3rdparty

OpenCV - 3rdparty

opencv_contrib

Repository for OpenCV's extra modules

patch-match-stereo

Implementations in C++ of the Patch Match Stereo algorithm presented in: PatchMatch Stereo - Stereo Matching with Slanted Support Windows

pinto_model_zoo

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin]

poseestimationformobile

:dancer: Real-time single person pose estimation for Android and iOS.

primestereomatch

A heterogeneous and fully parallel stereo matching algorithm for depth estimation, implementing a local adaptive support weight (ADSW) Guided Image Filter (GIF) cost aggregation stage. Developed in both C++ and OpenCL.

psmnet

Pyramid Stereo Matching Network (CVPR2018)

puma

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

pythoncourse

Source code for Python Training course

real-time-self-adaptive-deep-stereo

Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

realtimestereo

Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)

rovio

sltk

An OpenCV-based structured light processing toolkit.

stair-perception

A stair detection and modeling implementation using point cloud data with PCL(Point Cloud Library).

stairs_detection

Detection and modelling of staircases using a wearable depth sensor

tizen-docs

This project is for writing Tizen documents for platform and application developers. The documents will be published to the new Tizen portal site.

tizenfx

C# Device APIs for Tizen

vanillacnn

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l