Open Gloupys opened 6 years ago
I have the same issue but mine related to MASK_SHAPE=[128, 128]
Incompatible shapes: [51,28,28] vs. [51,128,128]
I am facing the same error message:
InvalidArgumentError (see above for traceback): Incompatible shapes: [256,4] vs. [68,4]
The interesting thing is that I am facing it only when using GPU_COUNT>2
. When using just one or two GPUs it runs without any problem.
PS: My images are of size 768*768
@Gloupys @Mirodil @pesekon2 , hi , does anyone find some solution to that? I have the same issue and I don't know what to do next.
You need to add more deconv layers in build_fpn_mask_graph() to get bigger mask. Please check: https://github.com/matterport/Mask_RCNN/issues/635.
Did anyone find th solution for this
Hello again,
I successfully managed to use my dataset but the problem apparently is with the shapes inbetween layers...
I get the following error:
InvalidArgumentError (see above for traceback): Incompatible shapes: [8,28,28] vs. [8,512,512] [[Node: mrcnn_mask_loss/logistic_loss/mul = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](mrcnn_mask_loss/Log, mrcnn_mask_loss/Gather_1)]]
I did change the batch size to see if there were any changes, and the shapes switch to [8,28,28] to [6,28,28] when I change the batch size from 16 to 8.
Here are screens of the configuration and the error (partly):
I resized the images to be (512,512) as well. The problem seems to come from the "mul" gradient... But that's all I can even understand...
Thanks for your help.