Update docker image and add dataset ID handling in video framerate ch…

…ange

config.json

@@ -7,7 +7,8 @@
         "data operations"
     ],
     "description": "Change video framerate with preserving duration (recodes video)",
-    "docker_image": "supervisely/data-operations:6.72.157",
+    "docker_image": "supervisely/data-operations:6.73.256",
+    "instance_version": "6.12.12",
     "main_script": "src/main.py",
     "modal_template": "src/modal.html",
     "modal_template_state": {
@@ -24,7 +25,8 @@
     "headless": true,
     "context_menu": {
         "target": [
-            "videos_project"
+            "videos_project",
+            "videos_dataset"
         ]
     },
     "poster": "https://github.com/supervisely-ecosystem/change-video-framerate/releases/download/v0.1.0/app-poster.png"

dev_requirements.txt

@@ -1,2 +1,2 @@
-supervisely[apps]==6.72.157
+supervisely[apps]==6.73.256
 ffmpeg_python==0.2.0

src/globals.py

@@ -25,6 +25,7 @@
 TEAM_ID = int(os.environ['context.teamId'])
 WORKSPACE_ID = int(os.environ['context.workspaceId'])
 PROJECT_ID = int(os.environ['modal.state.slyProjectId'])
+DATASET_ID = int(os.environ['modal.state.slyDatasetId'])
 
 TARGET_FPS = float(os.environ['modal.state.targetFps'])
 RES_PROJECT_NAME = os.getenv('modal.state.resultProjectName', None)

src/main.py

@@ -14,6 +14,13 @@
 
 @sly.timeit
 def change_framerate(api: sly.Api, target_fps, result_project_name):
+
+    if g.DATASET_ID and g.PROJECT_ID is None:
+        datasets = [api.dataset.get_info_by_id(g.DATASET_ID)]
+        g.PROJECT_ID = datasets[0].project_id
+    else:
+        datasets = api.dataset.get_list(g.PROJECT_ID)
+
     if not result_project_name:
         project_info = api.project.get_info_by_id(g.PROJECT_ID)
         result_project_name = f'{project_info.name} {target_fps:.6g} FPS'
@@ -29,7 +36,6 @@ def change_framerate(api: sly.Api, target_fps, result_project_name):
     api.project.update_meta(res_project.id, meta_json)
     dummy_map = KeyIdMap()
 
-    datasets = api.dataset.get_list(g.PROJECT_ID)
     progress = sly.Progress('Video recoding', sum(ds.items_count for ds in datasets))
 
     for dataset in datasets: