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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…
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Accelerate segment anything model inference using Tensorrt 8.6.1.6
Toolkit for linearizing PDFs for LLM datasets/training
SPEED SAM C++ TENSORRT: A high-performance C++ implementation using TensorRT and CUDA
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
This is the code to implement Segment Anything (SAM) using TensorRT(C++).
OCR, layout analysis, reading order, table recognition in 90+ languages
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
📄 Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO, PaddlePaddle and PyTorch.
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
PaddlePaddle Developer Community
Curated list of project-based tutorials
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
基于PaddleOCR重构，并且脱离PaddlePaddle深度学习训练框架的轻量级OCR，推理速度超快 —— A lightweight OCR system based on PaddleOCR, decoupled from the PaddlePaddle deep learning training framework, with ultra-fast inference speed.
使用ONNXRuntime部署PaddleOCR-v3, 包含C++和Python两个版本的程序
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition