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February 27, 2018 04:43
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Test code for trying out https://github.com/tkarras/progressive_growing_of_gans
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# git clone from https://github.com/tkarras/progressive_growing_of_gans | |
# download the snapshot from their Google drive | |
# use the following code in the same directory to generate random faces | |
import os | |
import sys | |
import time | |
import glob | |
import shutil | |
import operator | |
import theano | |
import lasagne | |
import dataset | |
import network | |
from theano import tensor as T | |
import config | |
import misc | |
import numpy as np | |
import scipy.ndimage | |
_, _, G = misc.load_pkl("network-snapshot-009041.pkl") | |
class Net: pass | |
net = Net() | |
net.G = G | |
import train | |
num_example_latents = 10 | |
net.example_latents = train.random_latents(num_example_latents, net.G.input_shape) | |
net.example_labels = net.example_latents | |
net.latents_var = T.TensorType('float32', [False] * len(net.example_latents.shape))('latents_var') | |
net.labels_var = T.TensorType('float32', [False] * len(net.example_latents.shape)) ('labels_var') | |
net.images_expr = net.G.eval(net.latents_var, net.labels_var, ignore_unused_inputs=True) | |
net.images_expr = misc.adjust_dynamic_range(net.images_expr, [-1,1], [0,1]) | |
train.imgapi_compile_gen_fn(net) | |
images = net.gen_fn(net.example_latents[:1], net.example_labels[:1]) | |
misc.save_image(images[0], "fake2b.png", drange=[0,1]) |
Hi, I cannot find the file 'network-snapshot-009041.pkl' on the Google Drive (I have '009601' and four other files).
Does anyone now where I can find it?
Thanks
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@mtyka, thanks. Should have tested the file before posting but was in a hurry to get this is out.