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fastlfnet's Issues

关于codeStep2训练的一点小问题

作者大大,在codeStep2训练时发现HCIloader中有一个
edge_name = os.path.join(LF_dir, 'BinaryEdge.png')
我在官方数据集和EPI数据集的这个路径中都没有找到这个图片文件,请问您这是在哪一步生成的嘛或者我哪一步漏了什么关键步骤嘛,谢谢解答!
a5a91c3bbb11875080a2e5a2063cce5
fc7ce95256e029c04c598cf347266e5

where is 'additional_invalid_area' ?

Hi, Thanks for your great work.

However, when I run codestep1 python train.py , it went wrong with this line

boolmask_img6 = imageio.imread(os.path.normcase(os.path.join(args.datapath, 'full_data/additional_invalid_area/kitchen/input_Cam040_invalid_ver2.png')))

It seems that I didn't have this image,Do I download the wrong dataset of kitchen scene? I only have additional folder data, but not additional_invalid_area and input_cam040_invalid_ver.png

训练的一些小问题

image
请问在训练时这个3出现了错误index 3 is out of bounds for axis 2 是什么原因呢,有点没看懂这个语句的意思,恳请大佬解答,感谢!

codeStep1 训练无法启动的问题

您好,不好意思又来打扰了,我按照您readme的步骤进行训练,输入命令:
python train.py --epochs 1000 --datapath D:\pycharm\light-field-depth\FastLFnet-main\dataset --savemodel D:\pycharm\light-field-depth\FastLFnet-main\demo --nums 9 --maxdisp 16

程序没有报错但是一直卡在第一步没有往下进行,如图示:
1647933239
1647933239(1)

我只改动了dataloader的num_workers=4,请问您是否遇到过这样的问题?感谢您的解答!

关于训练卡住debug后的一些问题

昨天调试了一通程序,发现程序卡在下图中语句没有往下进行,初步猜测可能是数据读取有问题,遍历程序发现某些地方的数据设置和现有数据集不同,请问下作者大大是否数据集后期做了更新,可否更新一下您的数据设置方式或者在github中更新dataset呀,感谢感谢!(打扰多次非常不好意思)
Uploading image.png…

about codeStep1 “full_data/additional_invalid_area”

Thank you very much for your contribution to the field of deep learning. As a beginner, I ran the code after downloading hCI data set and found that the folder "full_data/additional_invalid_area" in codeStep1 did not appear in the data set I downloaded. Is this pre-processed or is there another step or link to get "additional_invalid_area"?

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