Use Intel® Geti™ Exported Model

You can replace the default YOLO11s model in the Product Identification (PID) service with a custom object-detection model trained and exported from Intel® Geti™.

Prerequisites

1. Refer to the official Geti documentation for installation instructions.

2. Follow the Geti Tutorials for creating projects, labeling data, training models, and exporting results.

3. Confirm your project uses a YOLO or other supported object detection architecture. See Supported Models in Geti.

4. Follow the Geti Export Instructions to export your model as OpenVINO™ IR files (.xml/.bin).

Steps

1. Export and place the model: Extract the downloaded Geti deployment .zip package and place the extracted folder at:

   ./configs/pid/models/object_detection/geti-sdk-deployment/deployment/Detection/model
   

2. Update the model path in configs/pid/config.json:

   "parameters": {
      "detection-properties": {
         "model": "/home/pipeline-server/object_detection/geti-sdk-deployment/deployment/Detection/model/<YOUR_MODEL_NAME>.xml",
         "device": "CPU"
      }
   }
   

   Replace <YOUR_MODEL_NAME> with the actual filename (without extension) of your exported model.

3. Deploy the application:

   make down
   make up
   

4. Verify the model loads successfully:

   docker logs -f <pid_container_name>