FiLM-for-Meta-Learning

Learn OpenCV : C++ and Python Examples

Automated Machine Learning with scikit-learn

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

A PyTorch Library for Meta-learning Research

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

Winner of Mozilla's $50,000 prize for AI