Displaying 1 to 9 from 9 results

opencv4nodejs - Asynchronous OpenCV 3

  •    C++

By its nature, JavaScript lacks the performance to implement Computer Vision tasks efficiently. Therefore this package brings the performance of the native OpenCV library to your Node.js application. This project targets OpenCV 3 and provides an asynchronous as well as an synchronous API. The ultimate goal of this project is to provide a comprehensive collection of Node.js bindings to the API of OpenCV and the OpenCV-contrib modules. An overview of available bindings can be found in the API Documentation. Furthermore, contribution is highly appreciated. If you want to get involved you can have a look at the contribution guide.

OpenBR - Open Source Biometric Recognition

  •    C++

OpenBR is a framework for investigating new modalities, improving existing algorithms, interfacing with commercial systems, measuring recognition performance, and deploying automated biometric systems. Off-the-shelf algorithms are also available for specific modalities including Face Recognition, Age Estimation, and Gender Estimation.

android-yolo - Real-time object detection on Android using the YOLO network with TensorFlow

  •    C++

android-yolo is the first implementation of YOLO for TensorFlow on an Android device. It is compatible with Android Studio and usable out of the box. It can detect the 20 classes of objects in the Pascal VOC dataset: aeroplane, bicycle, bird, boat, bottle, bus, car, cat, chair, cow, dining table, dog, horse, motorbike, person, potted plant, sheep, sofa, train and tv/monitor. The network only outputs one predicted bounding box at a time for now. The code can and will be extended in the future to output several predictions. To use this demo first clone the repository. Download the TensorFlow YOLO model and put it in android-yolo/app/src/main/assets. Then open the project on Android Studio. Once the project is open you can run the project on your Android device using the Run 'app' command and selecting your device.




Shadowless - A Fast and Open Source Autonomous Perception System.

  •    C++

The more fast your are, the more shadowless you got. Shadowless is a new generation auto-drive perception system that feel things only in vision(more features maybe add in). We building shadowless on the purpose of establish a fully intelligent and fast drive system.

CCTag - Detection of CCTag markers made up of concentric circles.

  •    C++

Detection of CCTag markers made up of concentric circles. Implementations in both CPU and GPU. See paper: "Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions." Lilian Calvet, Pierre Gurdjos, Carsten Griwodz and Simone Gasparini. CVPR 2016.

caffe-faster-rcnn - faster rcnn c++ version

  •    C++

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors. and step-by-step examples.

brfv4_ios_examples - Xcode project (ObjectiveC/C++ examples)

  •    C++

It is a real time face detection and tracking SDK. You put in image data (camera stream or single picture) and it outputs facial data. This page also includes all available packages for download.


brfv4_win_examples - Windows C++ examples utilizing OpenCV for camera access and drawing the face tracking results

  •    C++

It is a real time face detection and tracking SDK. You put in image data (camera stream or single picture) and it outputs facial data. This page also includes all available packages for download.





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