Comments (6)
Of course it'll be great if you can help submitting it. But you need to make sure it can support 'th' dim_ordering correctly, which I've never checked. And I guess it's also needed to fix lots of my dirty codes...... Anyway it will be really appreciated if you can help, at least this can give an example for those who wanna use keras to do image segmentation.
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Just to update, I've been doing some code cleanup and working to get all the pieces in so an example can also be included in keras-contrib. I've submitted pull requests for:
- mscoco keras-team/keras-contrib#81, and pascal voc -
keras-team/keras-contrib#80. Here is the issue for the datasets keras-team/keras-contrib#47.
Eventually, the code, particularly SegDataGenerator, will likely need to be moved to most likely an image.py
in keras_contrib/preprocessing equivalent to the location of ImageDataGenerator in keras.
The model creation code might then go into applications, and train.py would go into a single file with multiple command line options in https://github.com/farizrahman4u/keras-contrib/tree/master/examples.
It may be possible to handle the tensorflow vs theano part later on, as long as tf isn't called directly in anything under keras_contrib that is not in the tensorflow backend.
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Update: François Chollet, Keras' author, said he is interested in directly incorporating dense prediction/FCN into the Keras API, so I'm seeking suggestions/feedback at keras-team/keras#6538
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@ahundt @aurora95 I tried to add SegDataGenerator to my utils in my source. I cannot import it from there after rebuilding keras python setup.py install.
I'm not sure if its a general question or particular to this code.
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@Irtza I'd appreciate if your question could be in a separate github issue. A setup.py pull request would be welcome, or just add it to your PYTHONPATH.
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Okay I will add more details on the roadblocks while using the segDataGenerator in another issue on this repo
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Related Issues (20)
- AttributeError: 'SegDirectoryIterator' object has no attribute 'next' HOT 14
- error when run "python data_pascal_voc.py pascal_voc_setup" HOT 2
- sparse_categorical_crossentropy vs binary_crossentropy_with_logits
- in resize_images_bilinear(X, height_factor, width_factor, target_height, target_width, data_format) TypeError: unsupported operand type(s) for *: 'NoneType' and 'int' HOT 4
- models.py HOT 2
- AttributeError: 'SegDirectoryIterator' object has no attribute 'next' HOT 4
- Comparison of models
- Dataset & start HOT 1
- Strange results from inference.py HOT 1
- reorganized for easier use
- checkpoint_weights.hdf5 ??? HOT 17
- could not read remote repository HOT 1
- I want to use my windows10 Ipython to run my datasets, but it shows an error : UnboundLocalError: local variable 'lr' referenced before assignment HOT 4
- Hello, I also have this problem, I want to train my data set, but the picture of my data set is jpg, the label is png, can I use this data set for training, if I can, I need the program What changes have been made, thank you HOT 1
- Unable to run 'train.py', the program ends directly
- Regarding the upsampling layer HOT 2
- ModuleNotFoundError: No module named 'tf_image_segmentation' HOT 3
- NameError: name 'transform_matrix_offset_center' is not defined HOT 2
- weights
- Inference gives black output
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