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chienbienbac's Projects

openpose icon openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

paddle icon paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

paddledetection icon paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

paella icon paella

Paella standalone html 5 multistream player

person_reid_baseline_pytorch icon person_reid_baseline_pytorch

Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

plate_detect_and_recognize icon plate_detect_and_recognize

Detecting and Reading vehicle's license plate from various countries (Germany, Vietnam, Japan, Thailand, Saudi, Russia, Korea, Usa, India, China)

pyscenedetect icon pyscenedetect

:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.

rt-detr icon rt-detr

Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

sort icon sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

subplayer icon subplayer

:memo: SubPlayer is an online subtitle editor

tensorflow-yolov4-tflite icon tensorflow-yolov4-tflite

YOLOv4 Implemented in Tensorflow 2.0. Convert YOLO v4 .weights to .pb and .tflite format for tensorflow and tensorflow lite.

timelinejs icon timelinejs

🎬 jQuery timeline plugin, easily creates timeline slider.

vehicle_counting_tensorflow icon vehicle_counting_tensorflow

"MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

video-summary icon video-summary

A CPU based video summarization and classification tool. Extracts every movement out of a given video, aggregates the extracted changes into movement layers, which can be exported or further analysed and classified..

yolo-fastestv2 icon yolo-fastestv2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

yolov5-face icon yolov5-face

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931)

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