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Hello,
I'am trying to run the code (mines an dams discovery) with smaller sample images, around 100m images 11*11 pxl,
Can you explain me how can I adapt the convolution kernel size based on the image size ? that would help me a lot !!
When I only change the size of the images in the code without touching the kernel, i have this error:
ValueError: The kernel_size argument must be a tuple of 2 integers. Received: (0, 0) including {0} that does not satisfy the requirement > 0.
Many thanks in advance,
Thomas
The text was updated successfully, but these errors were encountered:
After reading your comment I tried using smaller sample images and the code ran fine. I did not receive the same error. Perhaps something else may be the issue.
Hello,
I'am trying to run the code (mines an dams discovery) with smaller sample images, around 100m images 11*11 pxl,
Can you explain me how can I adapt the convolution kernel size based on the image size ? that would help me a lot !!
When I only change the size of the images in the code without touching the kernel, i have this error:
ValueError: The
kernel_size
argument must be a tuple of 2 integers. Received: (0, 0) including {0} that does not satisfy the requirement> 0
.Many thanks in advance,
Thomas
The text was updated successfully, but these errors were encountered: