person-detection-0203 detection issues

[pkhan10]

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]

[Wan_Intel]

Hi Prateek Khandelwal,

Thank you for reaching out to us.

We are investigating this issue and will update you at the earliest.

Regards,

Wan

[Zalesskaya_Galina]

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?

[Wan_Intel]

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