ruizengalways / pfnet Goto Github PK
View Code? Open in Web Editor NEWCode Repo of 'Rethinking Planar Homography Estimation Using Perspective Fields'
Code Repo of 'Rethinking Planar Homography Estimation Using Perspective Fields'
Training loss seems to be stuck for out of box training with COCO data. Is there any knobs to turn on for the model to start learning ?
Hi author,
Your weight link of model is die, can you give me weight file of this model ?
thank you
Hi @ruizengalways ,
I've got a question about the identity block. In the paper, on figure 2 the identity block has additional 1x1conv and batch norm on the shortcut connection:
But in the code, there is no 1x1conv + bn in the identity block:
x = KL.Add()([x, input_tensor])
x = KL.Activation('relu', name='res' + str(branch) + str(stage) + block + '_out')(x)
So, what's the proper design here?
Best,
Daniel
I see when you compute the pf,you use
diff_branch1
but i cant find the diff_branch2
and I can see in your code comment:
# Two branches. The CNN try to learn the H and inv(H) at the same time. So in the first branch, we just compute the
# homography H from the original image to a perturbed image. In the second branch, we just compute the inv(H)
But I cant find the another branch , have you ever try use two branch and got the worse result?
is it normal?
Hi @ruizengalways ,
What MACE should the provided model have? I've downloaded pfnet_0200.h5
, run the eval script and ended up with:
MACE Metric: 7.451346
It sounds like a way worse quality than reported in the paper. Could you please help me to reproduce your results?
Best,
Danie;
Thanks for sharing the code. May I know if there is any tutorial showing how to train a custom dataset apart from COCO? Thanks
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