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how do I know the shape of output and what meaning for each dimension for my trained model?

Ji__Alex
Beginner
157 Views

From vehicle-detection-adas-binary-0001  I can know below information:

The net outputs a blob with the shape: [1, 1, N, 7], where N is the number of detected bounding boxes. For each detection, the description has the format: [image_idlabelconfx_miny_minx_maxy_max]

 

So that I can compute the bounding boxes.

However, if I train my model from darknet yolo-v3-tiny, convert to .pb file, and then convert to IR files, how do I know the shape of output and what meaning for each dimension?

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2 Replies
Iffa_Intel
Moderator
146 Views

Greetings,


You may refer to this tutorial:

https://www.youtube.com/watch?v=-8_yRzN-fTY


Sincerely,

Iffa


Iffa_Intel
Moderator
137 Views

Greetings,


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. 


Sincerely,

Iffa


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