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The baseline of the PR curve is too high #106
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Should be really helpful to have into the code the mAP measure. |
@SiNcSaD I don't understand why the endpoint should be low. Your graph looks pretty normal compared to the ones in https://github.com/MathGaron/mean_average_precision. |
Just a quick comment on this. There was a bug in the mAP implementation (https://github.com/MathGaron/mean_average_precision) and it was fixed a few weeks ago so it might be worth trying the new code. |
@ SiNcSaD I would modify your proposed code to consider the cases with multiple classes. So I modified the two
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I refer to this issues #27 . However, the PR curve of the object detection is shown in the following picture.
I think the baseline (end point) should be very low for object detection, but my curve is not.
I only have one category, this is my modified code(ref. #27 at last):
I modify the detection_map.py file in MathGaron's open source mean_average_precision.
Please help me check the code is wrong? Or give me idea on the curve.
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