{
	"application": {
		"name": "Real-Time End-to-end AI Surgical Video Pipeline",
		"authors": [
			{
				"name": "Holoscan Team",
				"affiliation": "NVIDIA"
			}
		],
		"language": "Python",
		"version": "1.0",
		"changelog": {
			"1.0": "Initial Release"
		},
		"holoscan_sdk": {
			"minimum_required_version": "3.0.0",
			"tested_versions": [
				"3.1.0"
			]
		},
		"holoscan_sensor_bridge": {
			"minimum_required_version": "2.0.0",
			"tested_versions": [
				"2.0.0"
			]
		},
		"platforms": [
			"x86_64",
			"aarch64"
		],
		"tags": ["Healthcare AI", "SSD", "Detection", "MONAI", "Segmentation"],
		"ranking": 1,
		"requirements": {
			"data": [
				{
					"name": "Orsi Academy Sample Applications",
					"description": "This resource contains a binary tool segmentation model [1], a binary out-of-body classification model and sample surgical videos as accompanying assets for the Orsi Academy holohub applications.",
					"url": "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara-holoscan/resources/holoscan_orsi_academy_sample_data",
					"version": "20240206"
				},
				{
					"name": "A SSD Detection model for Endoscopy Surgical Tools",
					"description": "This resource contains a SSD Detection model for the identification of surgical tools",
					"url": "https://api.ngc.nvidia.com/v2/resources/nvidia/clara-holoscan/ssd_surgical_tool_detection_model"
				},
				{
					"name": "Model for HoloHub Sample App for MONAI Endoscopic Tool Segmentation",
					"url": "https://api.ngc.nvidia.com/v2/resources/nvidia/clara-holoscan/monai_endoscopic_tool_segmentation_model"
				}
			],
			"libraries": [
				{
					"name": "cupy",
					"version": "13.3.0"
				}
			]
		},
		"dockerfile": "applications/ai_surgical_video/Dockerfile",
		"default_mode": "replayer",
		"modes": {
			"replayer": {
				"description": "Use a pre-recorded video as input",
				"build": {
					"docker_build_args": ["--target", "holohub-cli"]
				},
				"run": {
					"command": "python3 <holohub_app_source>/ai_surgical_video.py --source replayer --config <holohub_app_source>/config.yaml --data <holohub_data_dir>",
					"workdir": "holohub_bin"
				}
			},
			"aja": {
				"description": "Use an AJA device for video input",
				"build": {
					"depends": ["aja_source"],
					"docker_build_args": ["--target", "holohub-aja"]
				},
				"run": {
					"command": "python3 <holohub_app_source>/ai_surgical_video.py --source aja --config <holohub_app_source>/config.yaml --data <holohub_data_dir>",
					"workdir": "holohub_bin"
				}
			},
			"sensor_bridge": {
				"description": "Use a Holoscan Sensor Bridge device for live camera input",
				"build": {
					"docker_build_args": ["--target", "holohub-cli"]
				},
				"run": {
					"command": "python3 <holohub_app_source>/ai_surgical_video.py --source hsb --config <holohub_app_source>/config.yaml --data <holohub_data_dir>",
					"workdir": "holohub_bin",
					"docker_run_args": [
						"--privileged",
						"--ipc=host",
						"--ulimit", "memlock=-1",
						"-v", "/sys/bus/pci/devices:/sys/bus/pci/devices",
						"-v", "/sys/devices:/sys/devices"
					]
				}
			},
			"sensor_bridge_source": {
				"description": "Compile the Holoscan Sensor Bridge module from source, then use a Holoscan Sensor Bridge device for live camera input",
				"build": {
					"docker_build_args": ["--target", "holohub-hsb"],
					"cmake_options": [
						"-DOP_csi_to_bayer:BOOL=ON",
						"-DOP_image_processor:BOOL=ON",
						"-DOP_image_shift_to_uint8_operator:BOOL=ON",
						"-DOP_roce_receiver:BOOL=ON"
					]
				},
				"run": {
					"command": "python3 <holohub_app_source>/ai_surgical_video.py --source hsb --config <holohub_app_source>/config.yaml --data <holohub_data_dir>",
					"workdir": "holohub_bin",
					"env": {
						"PYTHONPATH": "<holohub_bin>/python/lib:<PYTHONPATH>"
					},
					"docker_run_args": [
						"--privileged",
						"--ipc=host",
						"--ulimit", "memlock=-1",
						"-v", "/sys/bus/pci/devices:/sys/bus/pci/devices",
						"-v", "/sys/devices:/sys/devices"
					]
				}
			}
		}
	}
}