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alexgkendall / SegNet-Tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset
http://mi.eng.cam.ac.uk/projects/segnet/tutorial.html
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Testing issues with accuracies (global, class avg, mean I/O) #63

Open jinuhjoo opened 7 years ago

jinuhjoo commented 7 years ago

Hello All,

I have a problem calculating accuracies on my test result image data files. In the mean time global acc are looking good around 85% but the rest seems to be poor under 15%

This is what I've done : Used _test_segmentation_camvid.py_ to save my resulting prediction_rgb and groundtruth_rgb (e.g scipy.misc.toimage(rgb, cmin=0.0, cmax=255).save(image_name) scipy.misc.toimage(rgb_gt, cmin=0.0, cmax=255).save(image_name))

And used matlab script provided below https://github.com/alexgkendall/SegNet-Tutorial/blob/master/Scripts/compute_test_results.m

Training data are provided CamVid data and trained through SegNet and SegNet-Basic

Could there be something wrong with the scripts or have I missed something? Please help.

P.S. if there is a python version of compute_test_results.m could you kindly upload it. (not really good at python or matlab)

mrnaif799 commented 7 years ago

Hi @jinuhjoo,

I am facing the same situation, did you find solve the problem?

Thanks,

Alice-kenan commented 5 years ago

@jinuhjoo @mrnaif799 I am facing the same situation, did you find solve the problem?

Thanks