Caffe: a fast open framework for deep learning.

👨🏻‍💻 Examples of new iOS 11 APIs

The Open Source Framework for Machine Vision

Open source hardware and software platform to build a small scale self driving car.

⬆️ Rad Media Capture in Swift

Java and Kotlin Code samples used on cloud.google.com

[Deprecated] 🇨🇳中国二代身份证光学识别

🎰 A curated list of machine learning resources, preferably CoreML

Optical Character Recognition in Swift for iOS&macOS. 银行卡、身份证、门牌号光学识别

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

✂️ Crop faces, inside of your image, with iOS 11 Vision api.

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Anki Vector Python SDK

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

Fuse multiple depth frames into a TSDF voxel volume.

Node.js client for Google Cloud Vision: Derive insight from images.

Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)

A vision library for genicam based cameras

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

Python Examples for Remote Sensing

A curated collection of iOS, ML, AR resources sprinkled with some UI additions

Program for rapidly developing computer vision applications

A curated list of awesome deep vision web demo

✂️ Detect and crop faces, barcodes and texts in image with iOS 11 Vision api.

🐼 One Millisecond Deformable Shape Tracking Library (DEST)

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

An example of use a Vision framework for face landmarks detection in iOS 11