There is no content in some Task1_xxx.txt of result_dota

[seekFire]

After running the following command, I got 15 Task1_xxx.txt in result_dota and merge_dota separately, but some of them has no content...

python3 main.py --data_dir /media/Dota4BBAVectors/val --resume model_50.pth --conf_thresh 0.1 --dataset dota --phase eval

I use val set of DOTA which has been split into 17651 patches(600*600) as input data. Do you think what's the reason of this phenomenon?

[yijingru]

I think maybe the image names do not follow """ P00000.500 P00000.501000 P00000.50___1500 """ but you may debug to see the details.

[seekFire]

Maybe it is not the reason, the val image names after cropping by ImgSplit_multi_process.py are shown as follows:

P0003__0.5__0___0
P0003__1__0___0
P0003__1__0___423
P0003__1__500___0
P0003__1__500___423
P0003__1__547___0
P0003__1__547___423

The configuration in ImgSplit_multi_process.py is as follows:

split = splitbase(r'/media/val',
                       r'/media/Dota4BBAVectors/val',
                      gap=100,
                      subsize=600,
                      num_process=8
                      )
    split.splitdata(1)
    split.splitdata(0.5)

Thus the 458 original val images were split into 17651 patches. I found that when I run the command mentioned above again and again, the Task1_xxx.txt without content became different with previous time...

[seekFire]

@yijingru I think I've known the reason. I had canceled the comment of 'BatchNorm2d' in ctxbox_net.py, so the model became unstable. Now, everything goes well. Thank you!

[Lg955]

@yijingru I think I've known the reason. I had canceled the comment of 'BatchNorm2d' in ctxbox_net.py, so the model became unstable. Now, everything goes well. Thank you!

I remember uncomment the BatchNorm2d in ctxbox_net.py will help stable training in #20 , but in this issue, "canceled the comment of 'BatchNorm2d' in ctxbox_net.py, the model became unstable", so should the BN be used or not finally?

[seekFire]

@Lg955 Well, because I used the pre-trained model which not contains the BatchNorm2d layer. If you want to use BatchNorm2d, you may need to train a new model from scratch.

[Lg955]

@Lg955 Well, because I used the pre-trained model which not contains the BatchNorm2d layer. If you want to use BatchNorm2d, you may need to train a new model from scratch.

Oh, I see, thank U!

[seekFire]

@Lg955 The 1st question: Yes, you need to use ImgSplit.py for the three dataset separately then merge images & labels which come from train set & val set into directory trainval. The 2nd question: Yes, data in directory trainval is only used for training.