Comments (5)
Thanks for the detailed report! I'll look into it this weekend.
from heatmaps.
Just as a quick thing you can try, can you use the functional API instead of the sequential one? I think my code doesn't handle the sequential API yet.
from heatmaps.
Just as a little addition: To convert a sequential model to a functional API model, you can just use
functional_model = seqmodel.model
if you have used the .compile(...)
or .build()
function on your model before. So you do not need to rewrite your whole code, but you just need to add one line.
from heatmaps.
from heatmaps.
I've implemented the conversion. Now sequential models should work. Can you try? Thank you.
from heatmaps.
Related Issues (15)
- regarding using a dataset of different domain HOT 6
- Error using own Model with non-quadratic images HOT 3
- Unexpected Type Error while using a custom model HOT 5
- can it be used to grey-level imageset network? HOT 2
- to_heatmap function error HOT 2
- KeyError: 'Strides' With Custom Model HOT 1
- Example not working: NameError: name 'preprocess_input' is not defined HOT 5
- regarding re-train the VGG19 model HOT 5
- Update to Keras 2 HOT 4
- Usign the code on your own model HOT 32
- sigmoid outputs? HOT 2
- MemoryError on Raspberry Pi HOT 17
- Issues with target size HOT 5
- why must you replace softmax by softmax4D HOT 2
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from heatmaps.