Comments (7)
matplotlib can't display your image as you've left the batch size in, use image[0]
and your problem should be solved
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Maybe we should add some additional checks and make the error more explicit here.
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Maybe we should add some additional checks and make the error more explicit here.
I've made a PR #49
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@qwertpi awesome! You're so fast :)
from keract.
2.6.1 released with the fix
parameter
from keract.
@zeyzeyc if you could download the new version of keract, verify it works, and then hopefully be able to close this issue then that would be great
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@zeyzeyc I'm going to mark this issue as solved. Feel free to re-open the issue should you have any problems.
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Related Issues (20)
- Plans to enable eager execution from TF 2.0? HOT 10
- Error when using model.add_loss HOT 5
- Regression CNN HOT 19
- Visualization on image sequence HOT 2
- Layer Import HOT 1
- Keras symbolic input/outputs and layer_names issue HOT 8
- Using an input other than the one provided by the pre-trained model fails. HOT 20
- get_activations: AttributeError when nested=True HOT 6
- Any plans for Pytorch implementation? HOT 2
- Heatmaps - ValueError: X has 20 features, but MinMaxScaler is expecting 1 features as input. HOT 17
- Can not convert a odict_values into a Tensor or Operation HOT 1
- custom loss not working any more
- Example in the README: 'Functional' object has no attribute '_layers' HOT 2
- display_heatmaps() ValueError: X has 28 features, but MinMaxScaler is expecting 1 features as input. HOT 2
- Interaction with submodels? HOT 5
- Trying to use keract.get_activations() for days, keep getting stuck HOT 3
- Implement with GradientTape
- Help with get_activations HOT 4
- display_heatmap error
- Scikit-learn requirement HOT 7
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