Having trouble with model_convert and tensorflow model with pip installed 2024.3

[wb666greene]

I converted mobilenetSSD_v2_coco for use with openvino 2021.3 using mo.py.  The xml and bin files from that conversion seem to work fine when loaded into openvino 2024.2 and 2024.3.  Problem is I lost the source of where I downloaded the model I converted, and need to put instructions for downloading and converting the model for the next version of my project

https://github.com/wb666greene/AI-Person-Detector-with-YOLO-verification-Version-2/tree/main 

since the bin file is too large to upload to github (and I'm not sure if it would be allowed or not).

I found this

http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v2_coco_2018_03_29.tar.gz 

which looks to be the same frozen_inference_graph.pb file as I originally converted with mo.py, since both files are 69688296 bytes. Converting either frozen_inference_graph.pb file results in the same error when I load the 2024.x converted model into my code.

import openvino as ov
ov_model = ov.convert_model('frozen_inference_graph.pb')
ov.save_model(ov_model,'ssd_mobilenet_v2_coco')

# When I load the converted model in my code:
model_path = '../ssd_mobilenet_v2_coco.xml'    # converted with openvion 2024
model = core.read_model(model_path)
if len(model.inputs) != 1:
        log.error('Supports only single input topologies.')
        return -1
if len(model.outputs) != 1:
        log.error('Supports only single output topologies')
        return -1

# it triggers this error:
  ckpt = torch.load(file, map_location="cpu")
[ ERROR ] Supports only single output topologies

 The mo.py command line I used in 2021 was:

python3 mo_tf.py --input_model /home/ai/ssdv2/frozen_inference_graph.pb --tensorflow_use_custom_operations_config /home/ai/ssdv2/ssd_v2_support.json --tensorflow_object_detection_api_pipeline_config /home/ai/ssdv2/pipeline.config --data_type FP16

One obvious difference is the newly downloaded tensorflow model did not include the ssd_v2_support.json file.

All I know about converting a model comes from this page:

https://docs.openvino.ai/2024/openvino-workflow/model-preparation/convert-model-tensorflow.html 

It seemed simple enough and I though I had it until I tried to run the 2024.3 converted model.

[wb666greene]

I am using 2024.3 at the moment, I have pip installed openvino openvino-dev and openvino-telemetry (brought in by something else).

When I try to run the sample code I'm missing some module, what is the name that I pipe install?

~/MOtest$ python object_detection_demo.py -m frozen_inference_graph.xml -i images -d GPU
Traceback (most recent call last):
  File "/home/wally/MOtest/object_detection_demo.py", line 29, in <module>
    from model_api.models import DetectionModel, DetectionWithLandmarks, RESIZE_TYPES, OutputTransform
ModuleNotFoundError: No module named 'model_api'

pip install model_api fails with no matching distribution.

[Iffa_Intel]

Hi,

That error is related to Python Model API package.

Try to run pip install <omz_dir>/demos/common/python to install Model API from source.

You may refer to this documentation

Cordially,

Iffa

[Iffa_Intel]

Hi,

Intel will no longer monitor this thread since we have provided a solution. If you need any additional information from Intel, please submit a new question. 

Cordially,

Iffa