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Generate human faces with neural networks

License: MIT License

Lua 76.71% Python 23.29%

deep-learning face gan lua torch

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cannot convert 'struct THDoubleTensor ' to 'struct THFloatTensor

I'm getting a strange error. Do I have a wrong package version of something?

$ th train.lua
...
<dataset> Loaded 264660 filepaths
<dataset> loaded 1000 random examples
POST    /events
POST    /events
POST    /events
POST    /events
<trainer> Epoch #1 [batchSize = 32]
/root/torch/install/bin/luajit: /root/torch/install/share/lua/5.1/nn/THNN.lua:110: bad argument #3 to 'v' (cannot convert 'struct THDoubleTensor *' to 'struct THFloatTensor *')
stack traceback:
        [C]: in function 'v'
        /root/torch/install/share/lua/5.1/nn/THNN.lua:110: in function 'BCECriterion_updateOutput'
        /root/torch/install/share/lua/5.1/nn/BCECriterion.lua:33: in function 'forward'
        ./adversarial.lua:96: in function 'opfunc'
        ./interruptable_optimizers.lua:60: in function 'interruptableAdam'
        ./adversarial.lua:264: in function 'train'
        train.lua:207: in function 'main'
        train.lua:212: in main chunk
        [C]: in function 'dofile'
        /root/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk
        [C]: at 0x00405d50

Bad generated faces after large number of epochs

Hi,
I have written a gan implementation but find that it starts generating random faces after a lot of iterations after giving good results until starting 5 -6 epochs.

Did you find your loss to increase in higher iterations or it just got better?

python faker library integration

Hi there!
Is in the roadmap any integration with the python faker library? :-D

Error while running

I'm getting following error.

 python generate_dataset.py --path="/Users/myusername/Facegenerator/openface/data/dcgan-completion.tensorflow/data/lfw"
[Warning] directory '/Users/myusername/Facegenerator/openface/data/dcgan-completion.tensorflow/data/lfw' contained 1 files with extension differing from 'jpg'
Found 13233 images total.
Image 0...
Traceback (most recent call last):
  File "generate_dataset.py", line 195, in <module>
    main()
  File "generate_dataset.py", line 48, in main
    brightness_change=0.1, noise_mean=0.0, noise_std=0.00)
  File "generate_dataset.py", line 130, in augment
    arr = tf.warp(img, matrix, mode="nearest") # projects to float 0-1
  File "/usr/local/lib/python2.7/site-packages/skimage/transform/_warps.py", line 775, in warp
    order=order, mode=mode, cval=cval))
  File "skimage/transform/_warps_cy.pyx", line 94, in skimage.transform._warps_cy._warp_fast (skimage/transform/_warps_cy.c:2557)
ValueError: Invalid mode specified.  Please use `constant`, `edge`, `wrap`, `reflect` or `symmetric`.

aleju / face-generator Goto Github PK

face-generator's People

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face-generator's Issues

cannot convert 'struct THDoubleTensor ' to 'struct THFloatTensor

Bad generated faces after large number of epochs

python faker library integration

Error while running

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