Update README.md

README.md

@@ -1,3 +1,180 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- zh
+size_categories:
+- 1K<n<10K
+---
+
+# CDLA: A Chinese document layout analysis (CDLA) dataset
+
+### 介绍
+
+CDLA是一个中文文档版面分析数据集，面向中文文献类（论文）场景。包含以下10个label：
+
+|正文|标题|图片|图片标题|表格|表格标题|页眉|页脚|注释|公式|
+|---|---|---|---|---|---|---|---|---|---|
+|Text|Title|Figure|Figure caption|Table|Table caption|Header|Footer|Reference|Equation|
+
+共包含5000张训练集和1000张验证集，分别在train和val目录下。
+
+整理自：[CDLA](https://github.com/buptlihang/CDLA)
+
+样例展示：
+
+![](https://github.com/buptlihang/CDLA/blob/master/imgs/show.png)
+
+### 下载链接
+
+- 百度云下载：https://pan.baidu.com/s/1449mhds2ze5JLk-88yKVAA, 提取码: tp0d
+- Google Drive Download：https://drive.google.com/file/d/14SUsp_TG8OPdK0VthRXBcAbYzIBjSNLm/view?usp=sharing
+
+
+### 标注格式
+
+我们的标注工具是labelme，所以标注格式和labelme格式一致。这里说明一下比较重要的字段。
+
+"shapes": shapes字段是一个list，里面有多个dict，每个dict代表一个标注实例。
+
+  "labels": 类别。
+
+  "points": 实例标注。因为我们的标注是Polygon形式，所以points里的坐标数量可能大于4。
+
+  "shape_type": "polygon"
+
+"imagePath": 图片路径/名
+
+"imageHeight": 高
+
+"imageWidth": 宽
+
+展示一个完整的标注样例:
+
+```json
+{
+  "version":"4.5.6",
+  "flags":{},
+  "shapes":[
+    {
+      "label":"Title",
+      "points":[
+        [
+          553.1111111111111,
+          166.59259259259258
+        ],
+        [
+          553.1111111111111,
+          198.59259259259258
+        ],
+        [
+          686.1111111111111,
+          198.59259259259258
+        ],
+        [
+          686.1111111111111,
+          166.59259259259258
+        ]
+      ],
+      "group_id":null,
+      "shape_type":"polygon",
+      "flags":{}
+    },
+    {
+      "label":"Text",
+      "points":[
+        [
+          250.5925925925925,
+          298.0740740740741
+        ],
+        [
+          250.5925925925925,
+          345.0740740740741
+        ],
+        [
+          188.5925925925925,
+          345.0740740740741
+        ],
+        [
+          188.5925925925925,
+          410.0740740740741
+        ],
+        [
+          188.5925925925925,
+          456.0740740740741
+        ],
+        [
+          324.5925925925925,
+          456.0740740740741
+        ],
+        [
+          324.5925925925925,
+          410.0740740740741
+        ],
+        [
+          1051.5925925925926,
+          410.0740740740741
+        ],
+        [
+          1051.5925925925926,
+          345.0740740740741
+        ],
+        [
+          1052.5925925925926,
+          345.0740740740741
+        ],
+        [
+          1052.5925925925926,
+          298.0740740740741
+        ]
+      ],
+      "group_id":null,
+      "shape_type":"polygon",
+      "flags":{}
+    },
+    {
+      "label":"Footer",
+      "points":[
+        [
+          1033.7407407407406,
+          1634.5185185185185
+        ],
+        [
+          1033.7407407407406,
+          1646.5185185185185
+        ],
+        [
+          1052.7407407407406,
+          1646.5185185185185
+        ],
+        [
+          1052.7407407407406,
+          1634.5185185185185
+        ]
+      ],
+      "group_id":null,
+      "shape_type":"polygon",
+      "flags":{}
+    }
+  ],
+  "imagePath":"val_0031.jpg",
+  "imageData":null,
+  "imageHeight":1754,
+  "imageWidth":1240
+}
+```
+
+### 转coco格式
+
+执行命令:
+
+```
+# train
+python3 labelme2coco.py CDLA_dir/train train_save_path  --labels labels.txt
+
+# val
+python3 labelme2coco.py CDLA_dir/val val_save_path  --labels labels.txt
+```
+
+转换结果保存在train_save_path/val_save_path目录下。
+
+labelme2coco.py取自labelme，更多信息请参考[labelme官方项目](https://github.com/wkentaro/labelme/tree/master/examples/instance_segmentation)