All Projects → PaddlePaddle → Paddlex

PaddlePaddle / Paddlex

Licence: apache-2.0
PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)

Programming Languages

python
139335 projects - #7 most used programming language
C++
36643 projects - #6 most used programming language
HTML
75241 projects
CMake
9771 projects
C#
18002 projects
java
68154 projects - #9 most used programming language

Projects that are alternatives of or similar to Paddlex

Jacinto Ai Devkit
Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
Stars: ✭ 49 (-98.56%)
Mutual labels:  deeplearning, segmentation, resnet, mobilenet, detection
Cnn Paper2
🎨 🎨 深度学习 卷积神经网络教程 :图像识别,目标检测,语义分割,实例分割,人脸识别,神经风格转换,GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/
Stars: ✭ 77 (-97.73%)
Mutual labels:  deep-neural-networks, deeplearning, segmentation, detection
Pytorch Imagenet Cifar Coco Voc Training
Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.
Stars: ✭ 130 (-96.18%)
Mutual labels:  classification, resnet, yolov3, detection
Caffe Model
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
Stars: ✭ 1,258 (-62.99%)
Mutual labels:  classification, segmentation, resnet, detection
Keras Unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Stars: ✭ 196 (-94.23%)
Mutual labels:  deep-neural-networks, deeplearning, segmentation, unet
Ssd Pytorch
SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
Stars: ✭ 107 (-96.85%)
Mutual labels:  deep-neural-networks, neural-networks, deeplearning, detection
Dlcv for beginners
《深度学习与计算机视觉》配套代码
Stars: ✭ 1,244 (-63.4%)
Mutual labels:  classification, segmentation, unet, detection
volkscv
A Python toolbox for computer vision research and project
Stars: ✭ 58 (-98.29%)
Mutual labels:  deployment, detection, classification, segmentation
Segmentation models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Stars: ✭ 3,575 (+5.18%)
Mutual labels:  segmentation, resnet, mobilenet, unet
Tianchi Medical Lungtumordetect
天池医疗AI大赛[第一季]:肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet
Stars: ✭ 314 (-90.76%)
Mutual labels:  classification, segmentation, resnet, unet
Invoicenet
Deep neural network to extract intelligent information from invoice documents.
Stars: ✭ 1,886 (-44.51%)
Mutual labels:  classification, deep-neural-networks, deeplearning
Kaggle Rsna
Deep Learning for Automatic Pneumonia Detection, RSNA challenge
Stars: ✭ 74 (-97.82%)
Mutual labels:  classification, neural-networks, detection
Blinkdl
A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
Stars: ✭ 69 (-97.97%)
Mutual labels:  deep-neural-networks, neural-networks, deeplearning
Deeplearning4j
All DeepLearning4j projects go here.
Stars: ✭ 68 (-98%)
Mutual labels:  deep-neural-networks, neural-networks, deeplearning
Mit Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Stars: ✭ 8,912 (+162.19%)
Mutual labels:  neural-networks, deeplearning, segmentation
Pointcnn
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Stars: ✭ 1,120 (-67.05%)
Mutual labels:  classification, deep-neural-networks, segmentation
Segmentation
Tensorflow implementation : U-net and FCN with global convolution
Stars: ✭ 101 (-97.03%)
Mutual labels:  classification, segmentation, unet
Awesome Gan For Medical Imaging
Awesome GAN for Medical Imaging
Stars: ✭ 1,814 (-46.63%)
Mutual labels:  deeplearning, segmentation, detection
Voice activity detection
Voice Activity Detection based on Deep Learning & TensorFlow
Stars: ✭ 132 (-96.12%)
Mutual labels:  deep-neural-networks, deeplearning, resnet
Luna16 Lung Nodule Analysis 2016 Challenge
LUNA16-Lung-Nodule-Analysis-2016-Challenge
Stars: ✭ 133 (-96.09%)
Mutual labels:  classification, resnet, detection

PaddleX

PaddleX -- 飞桨全流程开发工具,以低代码的形式支持开发者快速实现产业实际项目落地

近期活动

为了更好的满足大家对部署需求,PaddleX举办《工业级视觉算法跨平台部署方案深入解析》两日课。

  • 基于QT实现的跨平台图形化部署工具,支持Windows、Linux系统和X86、ARM架构欢迎体验
  • 基于C#实现的Windows系统高效部署方案欢迎体验
  • 从0-1构建工业级部署线程池,欢迎体验

近期动态

2021.12.10 PaddleX发布2.1.0版本

  • 新增超轻量分类模型PPLCNet,在Intel CPU上,单张图像预测速度约5ms,ImageNet-1K数据集上Top1识别准确率达到80.82%,超越ResNet152的模型效果 欢迎体验
  • 新增轻量级检测特色模型PP-PicoDet,第一个在1M参数量之内mAP(0.5:0.95)超越30+(输入416像素时),网络预测在ARM CPU下可达150FPS 欢迎体验
  • 升级PaddleX Restful API,支持飞桨动态图开发模式 欢迎体验
  • 新增检测模型负样本训练策略 欢迎体验
  • 新增python轻量级服务化部署 欢迎体验

2021.09.10 PaddleX发布2.0.0正式版本。

  • 全新发布Manufacture SDK,支持多模型串联部署。欢迎体验
  • PaddleX部署全面升级,支持飞桨视觉套件PaddleDetection、PaddleClas、PaddleSeg、PaddleX的端到端统一部署能力。欢迎体验
  • 发布产业实践案例:钢筋计数、缺陷检测、机械手抓取、工业表计读数。欢迎体验
  • 升级PaddleX GUI,支持30系列显卡、新增模型PP-YOLO V2、PP-YOLO Tiny 、BiSeNetV2。欢迎体验

详情内容请参考版本更新文档

产品介绍

🤗 PaddleX 集成飞桨智能视觉领域图像分类目标检测语义分割实例分割任务能力,将深度学习开发全流程从数据准备模型训练与优化多端部署端到端打通,并提供统一任务API接口图形化开发界面Demo。开发者无需分别安装不同套件,以低代码的形式即可快速完成飞桨全流程开发。

🏭 PaddleX 经过质检安防巡检遥感零售医疗等十多个行业实际应用场景验证,沉淀产业实际经验,并提供丰富的案例实践教程,全程助力开发者产业实践落地。

安装与快速体验

PaddleX提供了图像化开发界面、本地API、Restful-API三种开发模式。用户可根据自己的需求选择任意一种开始体验

产业级应用示例

PaddleX 使用文档

本文档介绍了PaddleX从数据准备、模型训练到模型剪裁量化,及最终部署的全流程使用方法。

1. 数据准备

2. 模型训练/评估/预测

3. 模型压缩

4. 模型部署

5. 附录

常见问题汇总

交流与反馈

🤗 贡献代码🤗

我们非常欢迎您为PaddleX贡献代码或者提供使用建议。如果您可以修复某个issue或者增加一个新功能,欢迎给我们提交Pull Requests。

开发者贡献项目

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].