Image meta support

README.md

@@ -8,7 +8,6 @@
   <a href="#How-To-Use">How To Use</a>
 </p>
 
-
 [![](https://img.shields.io/badge/supervisely-ecosystem-brightgreen)](https://ecosystem.supervise.ly/apps/supervisely-ecosystem/export-to-supervisely-format)
 [![](https://img.shields.io/badge/slack-chat-green.svg?logo=slack)](https://supervise.ly/slack)
 ![GitHub release (latest SemVer)](https://img.shields.io/github/v/release/supervisely-ecosystem/export-to-supervisely-format)
@@ -19,13 +18,15 @@
 
 # Overview
 
-Download images project or dataset in [Supervisely JSON format](https://docs.supervise.ly/data-organization/00_ann_format_navi). It is possible to download both images and annotations or only annotations.
+ℹ️ Starting from version 2.7.7 the application will save images metadata in JSON format to `meta` directory in each dataset.
 
+Download images project or dataset in [Supervisely JSON format](https://docs.supervise.ly/data-organization/00_ann_format_navi). It is possible to download both images and annotations or only annotations.
 
 # How To Use
+
 **Step 1**: Add app to your team from [Ecosystem](https://ecosystem.supervise.ly/apps/export-to-supervisely-format) if it is not there
 
-**Step 2**: Open context menu of images project (or images dataset) -> `Run App` -> `Download via app` -> `Export to Supervisely format` 
+**Step 2**: Open context menu of images project (or images dataset) -> `Run App` -> `Download via app` -> `Export to Supervisely format`
 
 <img src="https://i.imgur.com/6JNfu3g.png" width="600px"/>
 

config.json

@@ -6,7 +6,7 @@
         "export"
     ],
     "description": "images and JSON annotations",
-    "docker_image": "supervisely/import-export:6.72.114",
+    "docker_image": "supervisely/import-export:6.72.149",
     "instance_version": "6.5.1",
     "main_script": "src/main.py",
     "modal_template": "src/modal.html",

src/main.py

@@ -113,7 +113,7 @@ def download_json_plus_images(api, project, dataset_ids):
     if os.path.exists(download_dir):
         sly.fs.clean_dir(download_dir)
     sly.download_project(api, project.id, download_dir, dataset_ids=dataset_ids,
-                         log_progress=True, batch_size=batch_size)
+                         log_progress=True, batch_size=batch_size, save_image_meta=True)
     sly.logger.info('Project {!r} has been successfully downloaded.'.format(project.name))