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fire /v-sekai.mediapipe-labeler:c913a1f8

Playground API

Input schema

The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.

Field Type Default value Description
media_path
string
Input image, video, or training zip file
max_people
integer
100

Min: 1

Max: 100

Maximum number of people to detect (1-100)
frame_sample_rate
integer
1

Min: 1

Process every nth frame for video input
test_mode
boolean
False
Enable test mode for quick verification
export_train
boolean
True
Export training zip containing json annotations and frame pngs
aligned_media
string
Optional video that is aligned with the input video's annotations

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema 
{'properties': {'annotations': {'title': 'Annotations', 'type': 'string'},
                'debug_media': {'format': 'path',
                                'title': 'Debug Media',
                                'type': 'string'},
                'export_aligned_train_folder': {'format': 'path',
                                                'title': 'Export Aligned Train '
                                                         'Folder',
                                                'type': 'string'},
                'export_train_folder': {'format': 'path',
                                        'title': 'Export Train Folder',
                                        'type': 'string'},
                'media_type': {'title': 'Media Type', 'type': 'string'},
                'num_people': {'title': 'Num People', 'type': 'integer'}},
 'required': ['annotations', 'debug_media', 'num_people', 'media_type'],
 'title': 'Output',
 'type': 'object'}