Metadata-Version: 2.1
Name: paddlelabel-ml
Version: 0.5.0
Summary: Web Based Multi Purpose Annotation - ML backend
Home-page: https://github.com/PaddleCV-SIG/PP-Label-ML
Author: PaddleCV-SIG
Author-email: me@linhan.email
License: Apache Software License
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: flask[async]
Requires-Dist: connexion[swagger-ui]
Requires-Dist: Pillow
Requires-Dist: opencv-python
Requires-Dist: numpy
Requires-Dist: tqdm
Requires-Dist: flask-cors

# PaddleLabel-ML

PaddleLabel机器学习辅助标注后端。

目前基于[EISeg](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/EISeg)实现了交互式分割功能。

## 安装说明

### 通过PIP安装

```shell
pip install paddlelabel-ml
```

### 通过源码安装

首先将代码克隆到本地：

```shell
git clone https://github.com/PaddleCV-SIG/PaddleLabel-ML
```

安装：

```shell
cd PaddleLabel-ML
python setup.py install
```

## 启动

完成上述的安装操作后，可以直接在终端使用如下指令启动PaddleLabel的机器学习端。

```shell
paddlelabel_ml  # 启动ml后端
```



## *模型下载

| 模型类型     | 适用场景             | 模型结构            | 模型下载地址                                                 |
| ------------ | -------------------- | ------------------- | ------------------------------------------------------------ |
| 高精度模型   | 通用场景的图像标注   | HRNet18_OCR64       | [static_hrnet18_ocr64_cocolvis](https://paddleseg.bj.bcebos.com/eiseg/0.4/static_hrnet18_ocr64_cocolvis.zip) |
| 轻量化模型   | 通用场景的图像标注   | HRNet18s_OCR48      | [static_hrnet18s_ocr48_cocolvis](https://paddleseg.bj.bcebos.com/eiseg/0.4/static_hrnet18s_ocr48_cocolvis.zip) |
| 高精度模型   | 通用图像标注场景     | EdgeFlow            | [static_edgeflow_cocolvis](https://paddleseg.bj.bcebos.com/eiseg/0.4/static_edgeflow_cocolvis.zip) |
| 高精度模型   | 人像标注场景         | HRNet18_OCR64       | [static_hrnet18_ocr64_human](https://paddleseg.bj.bcebos.com/eiseg/0.4/static_hrnet18_ocr64_human.zip) |
| 轻量化模型   | 人像标注场景         | HRNet18s_OCR48      | [static_hrnet18s_ocr48_human](https://paddleseg.bj.bcebos.com/eiseg/0.4/static_hrnet18s_ocr48_human.zip) |
| 轻量化模型   | 遥感建筑物标注场景   | HRNet18s_OCR48      | [static_hrnet18_ocr48_rsbuilding_instance](https://paddleseg.bj.bcebos.com/eiseg/0.4/static_hrnet18_ocr48_rsbuilding_instance.zip) |
| 高精度模型\* | x光胸腔标注场景      | Resnet50_Deeplabv3+ | [static_resnet50_deeplab_chest_xray](https://paddleseg.bj.bcebos.com/eiseg/0.5/static_resnet50_deeplab_chest_xray.zip) |
| 轻量化模型   | 医疗肝脏标注场景     | HRNet18s_OCR48      | [static_hrnet18s_ocr48_lits](https://paddleseg.bj.bcebos.com/eiseg/0.4/static_hrnet18s_ocr48_lits.zip) |
| 轻量化模型\* | MRI椎骨图像标注场景  | HRNet18s_OCR48      | [static_hrnet18s_ocr48_MRSpineSeg](https://paddleseg.bj.bcebos.com/eiseg/0.5/static_hrnet18s_ocr48_MRSpineSeg.zip) |
| 轻量化模型\* | 质检铝板瑕疵标注场景 | HRNet18s_OCR48      | [static_hrnet18s_ocr48_aluminium](https://paddleseg.bj.bcebos.com/eiseg/0.5/static_hrnet18s_ocr48_aluminium.zip) |
