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Hi,
Thank you for releasing the code.
Can you also release the .npy and pickle files loaded in the training script?
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Dear developer,
In gan_model.py, following two files are necessary.
X_train = np.load('new_minority_types_croppedX2.npy')
y_train = np.load('new_minority_types_croppedy2.npy')
Where I can get t…
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A: hi!
Thank you for your contribution. If I need to annotate my data set, what tools should I use to annotate it? In other words, how do I generate the (.npy) file and what is in the (.npy) file? …
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```
File "code/rnn_example.py", line 20, in
X = np.load('top_3_100_split_mfcc.npy')
File "/usr/local/lib/python2.7/site-packages/numpy/lib/npyio.py", line 370, in load
fid = open(file…
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Hello, I am planning on reproducing your code and using it as my final exam. About the pickle file. Can you upload the code and process for that? I guess the code is available at https://github.com/af…
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Hello, sir. Thank you very much for the repository; it's very interesting. I encountered a problem and would appreciate your help. While executing the code, I found that the files 'P_Arrays/All_Fake_P…
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### ❓ The question
I was looking at the config files and noticed that the config files sometimes point to `.npy` files for the dataset. Is there any script to generate the same from a set of text fil…
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Has anyone, by any chance, ever implemented code that allows MMSEGMENTATION to train with NPY files rather than images?
I've got really large datasets (which are all larger than a few TBs) that are…
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The script currently outputs or uses:
- Input
- Images in tif
- hdf5s
- Images
- Cell probabilities
- Object predictions (of somas)
- segmentations
- nuclei segmentations in tif
-…
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