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# Serving port
port = int(args.port)
# Load configuration file
config_file = args.conf
configuration = qoa_utils.load_config(config_file)
# Load Rest service
inferenceService = YoloRestService(configuration)
it receives a config like this for models. Then where are the model storage? A service may receives a configuration about the system (e.g., storage, number of cpus, etc.) and about the application logic (e.g., composition, parameters). But we must have enough info
@vtn13042000
consider the inference service:
https://github.com/rdsea/ROHE/blob/main/examples/applications/object_detection/kube_deployment/edge-inference-server/server.py
parser.add_argument('--conf', help='configuration file', default="./conf.json")
parser.add_argument('--port', help='default port', default=5002)
args = parser.parse_args()
it receives a config like this for models. Then where are the model storage? A service may receives a configuration about the system (e.g., storage, number of cpus, etc.) and about the application logic (e.g., composition, parameters). But we must have enough info
{
"composition":[
{
"model": "Yolov5",
"parameter": "yolov5l"
},
{
"model": "Yolov8",
"parameter": "yolov8n"
}
]
}
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