Convert the official paddleocr model to a deployable model on RK1126
☆45Oct 4, 2022Updated 4 years ago
Alternatives and similar repositories for PaddleOCR2RKNN
Users that are interested in PaddleOCR2RKNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Dataset-free Self-supervised Disentangled Learning Method for Adaptive Infrared and Visible Images Super-resolution Fusion☆20Dec 20, 2021Updated 4 years ago
- ☆12Jul 27, 2022Updated 4 years ago
- This sample shows how to use the OpenVINO C++ 2.0 API to deploy Paddle PP-OCRv3 model☆27Feb 6, 2025Updated last year
- nanodet_rknn on rk3399pro platform☆17Apr 17, 2022Updated 4 years ago
- The rknn2 API uses the secondary encapsulation of the process, which is easy for everyone to call. It is applicable to rk356x rk3588☆47Jun 18, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- convert paddleOCR to torchOCR, ppocr-v3,ppocr-v4, onnx, openvino☆33Aug 16, 2023Updated 3 years ago
- RK3588上实现车辆车牌检测,并输出4个点的landmark,车牌颜色和车牌识别☆21Jun 7, 2024Updated 2 years ago
- ☆10May 30, 2024Updated 2 years ago
- Retrain DeepSort with ShuffleNet.☆27Apr 28, 2021Updated 5 years ago
- Superresolution running on Rockchip NPU (RK3588, etc..)☆24Jul 7, 2024Updated 2 years ago
- snpe tutorial☆10Dec 25, 2023Updated 2 years ago
- ☆16Mar 24, 2025Updated last year
- yolov7 部署版本,后处理用python语言和C++语言形式进行改写,便于移植不同平台(caffe、onnx、tensorRT、RKNN、Horzion)。☆33Feb 21, 2023Updated 3 years ago
- simple linux audio interface using ffmpeg and alsa☆10Jul 27, 2020Updated 6 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- RetinaNet face detection model inference on edge/mobile device utilizing MNN framework.☆13Feb 27, 2023Updated 3 years ago
- ☆14Oct 16, 2017Updated 9 years ago
- Quantize pytorch model, support post-training quantization and quantization aware training methods☆15Jun 15, 2023Updated 3 years ago
- ☆19Apr 5, 2023Updated 3 years ago
- yolov8n 目标检测部署版本,便于移植不同平台(onnx、tensorRT、rknn、Horizon),全网部署最简单、速度最快的部署方式。☆51Mar 11, 2024Updated 2 years ago
- Pytorch implementation of an Hourglass network for corner detection of a wrinkled towel.☆15Nov 30, 2020Updated 5 years ago
- yolov9 瑞芯微 rknn 板端 C++部署。☆11May 6, 2024Updated 2 years ago
- Quickly inference EdgeSAM with MNN☆15Dec 19, 2023Updated 2 years ago
- Zino开发框架中文教程☆17Jun 4, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 在瑞芯微rockchip的AI芯片rv1109上,利用rknn和opencv库,修改了官方yolov3后处理部分代码Bug,交叉编译yolov3-demo示例后可成功上板部署运行。☆35Nov 4, 2021Updated 4 years ago
- DragGan in NCNN with c++☆52Oct 5, 2023Updated 3 years ago
- Depth Estimation for iOS and macOS, using FCRN Depth-Prediction models☆21Jul 1, 2024Updated 2 years ago
- 基于u2net网络进行简单修改使其部署到rk3588板子上☆24Dec 13, 2023Updated 2 years ago
- MiDaS(Multiple Depth Estimation Accuracy with Single Network)单目深度估计,部署 rk3588。☆20Jul 10, 2024Updated 2 years ago
- 深度学习+产业+数字孪生相关论文☆11Oct 19, 2022Updated 3 years ago
- ☆276Aug 3, 2023Updated 3 years ago
- ☆34Jan 30, 2018Updated 8 years ago
- 根据metaRTC5.0 修改的推流demo,原作者的推流demo是基于QT开发和编译的,我对QT不熟悉也不想安装QT,所以修改metapushSRS5 用cmake 编译的demo☆15Jun 20, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 基于rknn的yolov5的cpp实现,包含各种依赖库,是一个完整工程,可直接编译运行☆20Feb 10, 2022Updated 4 years ago
- A work assistant for 24-hour live streaming☆14May 18, 2025Updated last year
- ☆96May 25, 2022Updated 4 years ago
- 使用onnxruntime部署文档矫正,包括文档扭曲/模糊/阴影等情况,依然是包含C++和Python两个版本的程序☆16Jan 3, 2025Updated last year
- A component for hardware decoding of RTSP on the Rockchip platform.Currently supports RK3588.☆24Feb 26, 2025Updated last year
- SCRFD face detection based on MNN inference framework☆18Sep 22, 2021Updated 5 years ago
- A simple implement for A Novel Approach For Finger Vein Verification Based on Self-Taught Learning https://arxiv.org/pdf/1508.03710.pdf☆11May 10, 2018Updated 8 years ago