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Hello,
I have finetuned person-detection-0203 on my dataset using openvino training extensions
but when i test the model i can see the offset in the model output
check the inline image below
on same model pipeline person-detection-0202 is working perfectly
just want to understand how i can correctly use output of person-detection-0203
dict_keys(['TopK_1181.0', 'TopK_1415.0', 'TopK_1649.0', 'TopK_1883.0', 'TopK_947.0', 'boxes', 'labels'])
as of now i have just used boxes and labels for developing this output
i have assumed boxes are in this format [x_min, y_min, x_max, y_max, conf]
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Hi Prateek Khandelwal,
Thank you for reaching out to us.
We are investigating this issue and will update you at the earliest.
Regards,
Wan
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Hello Prateek Khandelwal,
You are right, the bbox output format is [x_min, y_min, x_max, y_max, conf] for person-detection-0202 and person-detection-0203 as well.
I could not reproduce the error, so could you please provide information, which tool did you use for visualization? If you used object_detection_demo, could you provide a hash commit of the used version? Please make sure, that your version has this fix.
Also, do results during fine-tuning satisfy you, I mean, are they greater than 0 mAP?
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Hi Pkhan10,
This thread will no longer be monitored since we have provided a solution.
For your information, if you are unsatisfied with the model quality, you may prepare datasets, evaluate pre-trained model and run fine-tuning until you get acceptable quality metrics values on your data.
Please refer to here for more information.
If you need any additional information from Intel, please submit a new question.
Regards,
Wan

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