-
Notifications
You must be signed in to change notification settings - Fork 24
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Error while concatenating mbox_conf_softmax, mbox_loc, mbox_priorbox #4
Comments
it's ok. |
I am having the same problems Thank you |
How many change did you do ? Did you also change the image_dim_ordering ?
What is your version of tf and keras and python ?
Le sam. 30 nov. 2019 à 02:03, diefish2 <[email protected]> a écrit :
… I am having the same problems
ValueError: A Concatenate layer requires inputs with matching shapes
except for the concat axis. Got inputs shapes: [(None, 1208, 100), (None,
1208, 4), (None, 2928, 8)]
and I tried change tf to channels_first it's still not working.
Anyone could help
Thank you
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub
<#4?email_source=notifications&email_token=ACE7NZBGAAS2QOCZUKXBGM3QWG3VLA5CNFSM4JNMZ5X2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEFPWULQ#issuecomment-559901230>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/ACE7NZCUIU4VGMYQ4OMPE7TQWG3VLANCNFSM4JNMZ5XQ>
.
|
In fact, you need to modify in file (“misc/keras_layer_AnchorBoxes.py”) as follow: |
You need to do that in every file where image_dim_ordering appears, there is more than one |
Hi,
Sorry to bother you, I am stuck on this :
ValueError: A
Concatenate
layer requires inputs with matching shapes except for the concat axis. Got inputs shapes: [(None, 2268, 21), (None, 2268, 4), (None, 4000, 8)]The mbox_priorbox tensor has a different shape. Do you know why ?
Thanks, have a good day
The text was updated successfully, but these errors were encountered: