config.json

{
  "name": "Apply NN to Videos Project",
  "type": "app",
  "version": "2.0.0",
  "categories": [
    "neural network",
    "videos",
    "detection & tracking",
    "segmentation & tracking",
    "inference interfaces",
    "labeling"
  ],
  "entrypoint": "python -m uvicorn src.main:app --host 0.0.0.0 --port 8000",
  "port": 8000,
  "description": "Predictions on every frame are combined with BoT-SORT/DeepSort into tracks automatically",
  "docker_image": "supervisely/apply-nn-to-videos-project:1.0.5",
  "instance_version": "6.10.0",
  "task_location": "workspace_tasks",
  "isolate": true,
  "headless": false,
  "need_gpu": false,
  "gpu": "preferred",
  "icon": "https://imgur.com/HPtoMih.png",
  "icon_background": "#FFFFFF",
  "context_menu": {
    "target": ["videos_project"],
    "context_root": "Neural Networks"
  },
  "poster": "https://imgur.com/dE7nQl6.png",
  "license": {
    "type": "AGPL-3.0"
  }
}