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A real time basketball player classification code written in python3 and based on opencv, Darknet and yolo.
AI Basketball Games Video Editor is a program to get basketball highlight video by PyTorch YOLOv4 object detection
If you record the two sides of a basketball game, this repository will merge it to one video, using frames where the play happens.
It is a simple python tool to extract key-frames from a video file using peak estimation from frame difference.
Generate a new file by compressed video, and provide metadata. Get video thumbnail from a video path, supports JPEG/GIF. To reduce app size not using FFmpeg in IOS.
The video player for Flutter with a heart of gold
🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
Real-time detection demo for Flutter tflite plugin
Multiple samples showing the best practices in camera APIs on Android.
Actions recognition in sport videos (football, basketball dancing ect)
LUX - Hybrid PoW/PoS & Unique PHI2 Algorithm | Masternode | Parallel masternode | Segwit | Smartcontract | Luxgate | Proof of file storage (Decentralised distributed file storage)
Example code from my XML Parsing With DOM in C++ blog.