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Hello,
I am facing problem when I want to run a custom object detection Yolo v3 model in openVino.
Let me explain, I have trained a custom yolo v3 model of 3 classes, then I have generated IR files using OpenVino Documentation and successfully got .xml and .bin file. now when I try the .xml file to run in a custom video, i have got error. I am running in "python object_detection_sample_ssd.py" in this code which I have got from the "sample " folder.
I gave this command:
(OpenVino_env) C:\Program Files (x86)\IntelSWTools\openvino_2021.4.582\inference_engine\samples\python\object_detection_sample_ssd>python object_detection_sample_ssd.py -i "C:/Users/Md. Afique Amin Zian/Desktop/tensorflow-yolo-v3-master/test.jpg" -m "C:/Users/Md. Afique Amin Zian/Desktop/tensorflow-yolo-v3-master/frozen_darknet_yolov3_model.xml"
This is the error:
[ INFO ] Creating Inference Engine
[ INFO ] Reading the network: C:/Users/Md. Afique Amin Zian/Desktop/tensorflow-yolo-v3-master/frozen_darknet_yolov3_model.xml
[ ERROR ] The sample supports models with 1 output or with 2 with the names "boxes" and "labels"
I don't understand why I have got this error, is there anything regarding the custom Yolo file because while converting the yolo model to IR files, I have used "Yolo_v3.json" file from OpenVino Model Optimizer Folder, that file is showing 80 classes but I have only 3 classes, so is there any problem on that.
Let me know, if I have .xml and .bin file for my model, then how can I run the model in a python code on a video.
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Hi Zian Md Afique Amin,
This thread will no longer be monitored since we have provided a solution. If you need any additional information from Intel, please submit a new question.
Regards,
Syamimi
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@zian123 have you compared your model performance running in its original framework (meaning before you convert it to IR)?
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