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TensorRT-YOLO

🚀 TensorRT-YOLO: Support YOLOv5, YOLOv8, YOLOv9, PP-YOLOE using TensorRT acceleration with EfficientNMS!

Language:PythonLicense:GPL-3.0Stargazers:86Issues:0Issues:0
Language:PythonLicense:Apache-2.0Stargazers:86Issues:0Issues:0

RSA

RSA encryption and decryption in c++

Language:C++License:ZlibStargazers:28Issues:0Issues:0

Paddle-Lite

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎)

Language:C++License:Apache-2.0Stargazers:6836Issues:0Issues:0

PaddleDetection

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

Language:PythonLicense:Apache-2.0Stargazers:12033Issues:0Issues:0

PaddleVideo

Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.

Language:PythonLicense:Apache-2.0Stargazers:1409Issues:0Issues:0

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

Language:PythonLicense:Apache-2.0Stargazers:38330Issues:0Issues:0

PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

Language:PythonLicense:Apache-2.0Stargazers:1183Issues:0Issues:0

PaddlePaddle-CrowdNet

基于PaddlePaddle实现的人流密度识别模型CrowdNet

Language:PythonLicense:Apache-2.0Stargazers:44Issues:0Issues:0

NWPU-Crowd-Sample-Code

The sample code for a large-scale crowd counting dataset, NWPU-Crowd.

Language:PythonLicense:MITStargazers:168Issues:0Issues:0

TrashCanFullDet

垃圾桶满溢检测,机器学习

Language:PythonStargazers:7Issues:0Issues:0

AgentCLPR

Chinese license plate recognition

Language:PythonLicense:Apache-2.0Stargazers:28Issues:0Issues:0