73 packages tagged with “Paddle”
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition)
Known models for PaddleOCR
.NET Wrapper of Paddle Inference library, no native binding, please also install native runtime binding libraries like Sdcb.PaddleInference.runtimes.*
包含文字识别、表格识别基础功能的功能工具类库，依赖第三方免费社区版PaddleOCR.dll.
win-x64 native libs for PaddleInference.
Native binding for Sdcb.Onnx to work on win64.
Native binding for Sdcb.Mkldnn to work on win64.
Provides on-demand downloading of PaddleOCR models.
Native binding for Sdcb.Paddle2Onnx to work on win64.
The CPU runtime of Paddle on the Windows platform
Native binding for paddle_inference_c to work on win64.cuda11_cudnn8_tr7.
linux-arm64 native libs for PaddleInference.
linux-x64 native libs for PaddleInference.
Native binding for Sdcb.PaddleInference to work on win64.cuda118_cudnn86_tr85_sm86_89.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Native binding for Sdcb.PaddleInference to work on win64.cu120-sm86-89.
Unofficial helpful sdk for Paddle
Native binding for Sdcb.PaddleInference to work on win64.cuda102_cudnn76_tr72_sm61_75.
Paddle rotation detector based on PULC Classification Model of Text Image Orientation: https://github.com/PaddlePaddle/PaddleClas/blob/release/2.5/docs/en/PULC/PULC_text_image_orientation_en.md
Native binding for paddle_inference_c to work on win64.cuda10_cudnn7.
PaddleOCRSDK offline OCR component, supporting CPU/GPU acceleration and providing text detection, text recognition, text direction classification, table recognition, and other functionalities.
osx-arm64 native libs for PaddleInference.
This project is based on PaddleSeg package Net class library. PaddleSeg is an end-to-end high-efficent development toolkit for image segmentation based on PaddlePaddle, which helps both developers and researchers in the whole process of designing segmentation models, training models, optimizing performance and inference speed, and deploying models. A lot of well-trained models and various real-world applications in both industry and academia help users conveniently build hands-on experiences in image segmentation.
osx-x64 native libs for PaddleInference.