rework repo, add support for Rectangle shape, upgrade supervisely version

.gitignore

@@ -1,3 +1,4 @@
 .idea
-/debug
+.venv
+src/debug
 secret_debug.env

.vscode/launch.json

@@ -0,0 +1,16 @@
+{
+  "version": "0.2.0",
+  "configurations": [
+    {
+      "name": "Python: Current File",
+      "type": "python",
+      "request": "launch",
+      "program": "${file}",
+      "console": "integratedTerminal",
+      "justMyCode": true,
+      "env": {
+        "PYTHONPATH": "${workspaceFolder}:${PYTHONPATH}"
+      }
+    }
+  ]
+}

.vscode/settings.json

@@ -0,0 +1,35 @@
+{
+    "files.exclude": {
+        "**/__pycache__": true,
+        "build": true,
+        "supervisely.egg-info": true,
+        ".venv": true
+    },
+    "python.defaultInterpreterPath": ".venv/bin/python",
+    "editor.formatOnSave": true,
+    "editor.formatOnPaste": true,
+    "editor.formatOnType": true,
+    "black-formatter.args": [
+        "--line-length",
+        "100"
+    ],
+    "[html]": {
+        "editor.defaultFormatter": "esbenp.prettier-vscode"
+    },
+    "[json]": {
+        "editor.defaultFormatter": "esbenp.prettier-vscode"
+    },
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter",
+    },
+    "debug.inlineValues": "off",
+    "python.analysis.typeCheckingMode": "off",
+    "python.analysis.autoImportCompletions": false,
+    "autoDocstring.docstringFormat": "sphinx",
+    "autoDocstring.customTemplatePath": "docs/.mustache",
+    "python.testing.pytestArgs": [
+        "tests/inference_cache"
+    ],
+    "python.testing.unittestEnabled": false,
+    "python.testing.pytestEnabled": true
+}

README.md

@@ -22,7 +22,8 @@ Converts [Supervisely](https://docs.supervise.ly/data-organization/00_ann_format
 
 
 ## Preparation
-There are special requirements for Supervisely project, classes must have `Polygon` or `Bitmap` shape, all other shapes will be skipped. It means that only labeled objects with these shapes will be rendered as masks.
+
+There are special requirements for input Supervisely project, classes must have `Polygon`, `Bitmap` or `Rectangle` shape, all other shapes will be skipped. Only objects with `Polygon` and `Bitmap` shapes will be rendered as masks.
 
 Pascal VOC format stores all data in separate folders. Image classes bounding boxes and additional information are stored in `.xml` files. Segmentantion class and object masks are placed into `SegmentationClass` and `SegmentationObject` folders respectively. **All image Tags, except `train` and `val` will be skipped**.
 
@@ -135,6 +136,6 @@ App creates task in `workspace tasks` list. Once app is finished, you will see d
 
 <img src="https://i.imgur.com/MTjig3H.png"/>
 
-Resulting archive is saved in : 
+Resulting archive is saved in:
 
 `Current Team` -> `Files` -> `/pascal_voc_format/<task_id>/<project_id>_<project_name>_pascal_format.tar`. 

config.json

@@ -1,28 +1,23 @@
 {
-    "name": "Export to Pascal VOC",
-    "type": "app",
-    "categories": [
-        "images",
-        "export"
-    ],
-    "description": "Converts Supervisely Project to Pascal VOC format",
-    "docker_image": "supervisely/import-export:0.0.5",
-    "instance_version": "6.5.1",
-    "main_script": "src/export-pascal-voc.py",
-    "modal_template": "src/modal.html",
-    "modal_template_state": {
-        "pascalContourThickness": 3,
-        "trainSplitCoef": 0.8
-    },
-    "task_location": "workspace_tasks",
-    "icon": "https://i.imgur.com/zTseThz.png",
-    "icon_background": "#FFFFFF",
-    "headless": true,
-    "context_menu": {
-        "target": [
-            "images_project"
-        ],
-        "context_root": "Download as"
-    },
-    "poster": "https://user-images.githubusercontent.com/48245050/182382862-d74f1b2c-b19e-47c2-84db-45cd934ec34e.png"
-}
+  "name": "Export to Pascal VOC",
+  "type": "app",
+  "categories": ["images", "export"],
+  "description": "Converts Supervisely Project to Pascal VOC format",
+  "docker_image": "supervisely/import-export:6.72.147",
+  "instance_version": "6.5.1",
+  "main_script": "src/main.py",
+  "modal_template": "src/modal.html",
+  "modal_template_state": {
+    "pascalContourThickness": 3,
+    "trainSplitCoef": 0.8
+  },
+  "task_location": "workspace_tasks",
+  "icon": "https://i.imgur.com/zTseThz.png",
+  "icon_background": "#FFFFFF",
+  "headless": true,
+  "context_menu": {
+    "target": ["images_project"],
+    "context_root": "Download as"
+  },
+  "poster": "https://user-images.githubusercontent.com/48245050/182382862-d74f1b2c-b19e-47c2-84db-45cd934ec34e.png"
+}

dev_requirements.txt

@@ -1,4 +1,4 @@
-supervisely==6.68.109
+supervisely==6.72.147
 lxml==4.6.3
 numpy>=1.19.4
 Pillow>=8.0.1

local.env

@@ -0,0 +1,15 @@
+PYTHONUNBUFFERED=1
+
+LOG_LEVEL="debug"
+
+TASK_ID=44728
+
+context.teamId=8
+context.workspaceId=349
+modal.state.slyProjectId=22451
+
+modal.state.pascalContourThickness=3
+modal.state.trainSplitCoef=0.8
+
+DEBUG_APP_DIR="src/debug/app_debug_data"
+DEBUG_CACHE_DIR="src/debug/app_debug_cache"