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Message type "caffe.LayerParameter" has no field named "black_augmentation_param" #15

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yxqlwl opened this issue May 16, 2017 · 11 comments

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@yxqlwl
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yxqlwl commented May 16, 2017

Hi,
Sorry for troubling. Errors occurred in the training process:
1. "Message type "caffe.LayerParameter" has no field named "black_augmentation_param""
I cannot find the definition of black_augmentation in src/caffe/layers or caffe.proto. I am wondering if I missed something?
2. Unknown bottom blob 'img0_a_org' (layer 'crop_params')
Thanks~

@brjeon
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brjeon commented May 16, 2017

I believe img0_a_org stands for the original Image 0.
Therefore, I have changed some names in the train.prototxt as following.
blob0 -> img0_a_org
blob1 -> img1_a_org
blob2 -> flow_gt_a_org
Correct me if I am wrong.

However, I still cannot figure out what img0_b, img1_b, flow_gt_b stand for.

@yxqlwl
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yxqlwl commented May 16, 2017

Thanks, brjeon. I also think so. I will check it.
But as for the black_augmentation_param, I think sth. is missing.

@nikolausmayer
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Hi yxqlwl,
I cannot find any mention of a black_augmentation_param in the codebase. I'm assuming that the error occurs in a layer you added?

@brjeon
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brjeon commented May 16, 2017

Hi nikolausmayer,
For your information the 'black_augmentation_param' is mentioned in
'FlowNet2-CSS-ft-sd_train.prototxt.template'.

@yxqlwl
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yxqlwl commented May 16, 2017

Hi nikolausmayer,
As brjeon mentioned, it is found in 'FlowNet2-CSS-ft-sd_train.prototxt.template'. May be there are different versions of the code? :)

@brjeon
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brjeon commented May 16, 2017

Actually, the above mentioned 'FlowNet2-CSS-ft-sd_train.prototxt.template' file is not in the github codebase.
It is created after running 'download-models.sh' file which is located in the 'flownet2-master/models' directory.

@nikolausmayer
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Woops sorry, now I see. I didn't check the models. We'll look into what's missing.

@yxqlwl
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yxqlwl commented May 16, 2017

Thanks~

@eddy-ilg
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Thanks for pointing this out, the code part it missing in the repo. I will add it during the week.

@eddy-ilg
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Black augmentation layer is now in the repo.

@yxqlwl
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yxqlwl commented Jun 1, 2017

Thank you!

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