Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Bundler Structure from Motion Toolkit
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
Gibson Environments: Real-World Perception for Embodied Agents
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)
A new algorithm for retrieving topological skeleton as a set of polylines from binary images
Cross-platform library for 6DoF tracking of the PS Move Motion Controller. Sensor fusion, computer vision, ambient display (LED orb).
Distributed and Graph-based Structure from Motion. This project includes the official implementation of our Pattern Recognition 2020 paper: Graph-Based Parallel Large Scale Structure from Motion.
🌓 Bringing pjreddie's DarkNet out of the shadows #yolo
Extract frames and motion vectors from H.264 and MPEG-4 encoded video.
computer vision framework for tangible interactive surfaces
Light version of convolutional neural network Yolo v3 & v2 for objects detection with a minimum of dependencies (INT8-inference, BIT1-XNOR-inference)
This is the open source project for RoboMaster 2018 contest from Southeast University
Face Liveness Detection (Face Anti Spoofing) Server SDK
implement AlexNet with C / convolutional nerual network / machine learning / computer vision
🚀🚀 Revisiting Binary Local Image Description for Resource Limited Devices