Comments (2)
@gabrieldemarmiesse - I'd like to see it, it it's not too much trouble.
from convnets-keras.
Since I didn't get any answers for a while, I made a repository with some code that does it:
https://github.com/gabrieldemarmiesse/heatmaps
It performs the increase of heatmap resolution automatically, so no need to specify anything.
I'll make a pull request on this repository if someone from the heuritech team asks me to, because I'm busy this week and I'm not sure if my pull request is going to be reviewed. If you have any questions, feel free to ask. Don't hesitate to contribute too!
from convnets-keras.
Related Issues (20)
- Heatmap has low resolution (43x73 in the dog example) HOT 1
- add license
- raise error when using process_image_batch (using sample code)
- support more networks
- vgg networks dont't produce heatmaps HOT 1
- error while loading weights in case of heatmap=true
- Why don't you assign regularisation to the layers?
- I cannot reproduce your results. HOT 3
- Import Error HOT 21
- What is geometric norm?
- Alexnet issue with Keras 2
- why can't I reproduce your result? HOT 3
- Load weights error in theano HOT 2
- Share information about training
- error: Load weight file (ValueError: You are trying to load a weight file containing 11 layers into a model with 7 layers.)
- Dimensions must be equal, HOT 2
- convnets.py in 'module' object is not callable HOT 1
- Unable to install h5py and convnets-keras HOT 2
- Unable to download weights for AlexNet HOT 3
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from convnets-keras.