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qqwweee / keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)
MIT License
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Overlapping problem #461

Open HaiLongEmb opened 5 years ago

HaiLongEmb commented 5 years ago

The problem is as follows： 123

Overlapping of two types of detection，On this acute problem, how to solve.

Many Thanks in advance.

tuongtranngoc commented 4 years ago

i has a problen together, do someone have solutions?

datduonguva commented 4 years ago

This is not a problem at all. It was mentioned in the paper that the class output is a logistics regression, not a classification, to handle the case where an object may belong to two or more classes. For example, if the training data has human face, woman face, man face classes, the face may belong to two classes.

On Sun, Oct 6, 2019, 2:01 AM NgTuong notifications@github.com wrote:

i has a problen together, do someone have solutions?

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tuongtranngoc commented 4 years ago

@datduonguva, thank you but i have a defference problem is two overlapping box belong to class together

datduonguva commented 4 years ago

Then simply lowering IOU threshold on yolo.py, which will be used for non_max_suppression, would help.

On Sun, Oct 6, 2019, 8:14 AM NgTuong notifications@github.com wrote:

@datduonguva https://github.com/datduonguva, thank you but i have a defference problem is two overlapping box belong to class together

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tuongtranngoc commented 4 years ago

@datduonguva , thank you, it worked.