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issue about the precision #14

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ASONG0506 opened this issue Oct 22, 2019 · 5 comments
Closed

issue about the precision #14

ASONG0506 opened this issue Oct 22, 2019 · 5 comments

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@ASONG0506
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ASONG0506 commented Oct 22, 2019

Hi, erikguo,Thanks for your excellent job!
I trained the yolov3-spp model on coco dataset, but got really bad performance, whose precision is really low but the recall is very high. One sample of test result is shown below.
image
I referenced some issue such as #2 , #295 , #188 and #71, and I modify the hypermeter "iou_t" but the mAP drop a lot, so did you trained the model in public dataset such as coco? How can you balance betweem the precision and recall? Thank you!

@zihaozhang9
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Hello! How can I use the train.py code? I am now receiving the following error:
AssertionError: No labels found. Recommend correcting image and label paths.

What are the input parameters of train.py?

@ASONG0506
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ASONG0506 commented Oct 23, 2019 via email

@ASONG0506 ASONG0506 reopened this Oct 25, 2019
@ASONG0506
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Finally I solved this problem by using "--evolve " in the training process to find out the best heper-parameters.

@MuhammadAsadJaved
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Hello! How can I use the train.py code? I am now receiving the following error:
AssertionError: No labels found. Recommend correcting image and label paths.

What are the input parameters of train.py?

Have you resolved your problem?
if no then show me your train.lists and val.lists

@marmikp
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marmikp commented Mar 11, 2020

I am training in yolov3.weights model with my own single class data. F1 score increased to 0.88 in the first 50 epochs but now it is constant for all the next epochs with e-5 learning rate.

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