Skip to content

Supporting Different Models

For running OVMS as inferencing engine through grpc, we are supporting different models for your need.

Models Supported In Python

Here is the list of inferencing models we are currently supporting in python:

  1. instance-segmentation-security-1040
  2. bit_64

You can switch between them by editing the configuration file configs/opencv-ovms/cmd_client/res/grpc_python/configuration.yaml, uncomment # PipelineInputArgs: "--model_name instance-segmentation-security-1040" for supporting instance-segmentation-security-1040 and comment out rest; or you can uncomment # PipelineInputArgs: "--model_name bit_64" for supporting bit_64 and comment out rest.

Here is the configuration.yaml content, default to use instance-segmentation-security-1040 model 

OvmsClient:
  PipelineScript: run_grpc_python.sh
  PipelineInputArgs: "--model_name instance-segmentation-security-1040" # space delimited like we run the script in command and take those input arguments
  # PipelineInputArgs: "--model_name bit_64" # space delimited like we run the script in command and take those input arguments
  # PipelineInputArgs: "--model_name yolov5s" # space delimited like we run the script in command and take those input arguments

Download Models

You can download models by editing download_models/models.lst file, you can add new models(from https://github.com/openvinotoolkit/open_model_zoo/blob/master/demos/object_detection_demo/python/models.lst) to it or uncomment from existing list in this file, saved the file once editing is done. Then you can download the list using following steps:

  1. cd download_models
  2. make build
  3. make run

after above steps, the downloaded models can be found in configs/opencv-ovms/models/2022 directory.

Note

Model files in configs/opencv-ovms/models/2022 directory will be replaced with new downloads if previously existed.