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- # Copyright 2020 Erik Härkönen. All rights reserved.
- # This file is licensed to you under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License. You may obtain a copy
- # of the License at http://www.apache.org/licenses/LICENSE-2.0
- # Unless required by applicable law or agreed to in writing, software distributed under
- # the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR REPRESENTATIONS
- # OF ANY KIND, either express or implied. See the License for the specific language
- # governing permissions and limitations under the License.
- import hashlib
- import string
- import sys
- sys.path.append('./models/stylegan2')
- import numpy as np
- # StyleGAN1/2 classes
- out_classes = {
- 1: {
- "celebahq": "https://drive.google.com/uc?id=1MGqJl28pN4t7SAtSrPdSRJSQJqahkzUf",
- "ffhq": "https://drive.google.com/uc?id=1MEGjdvVpUsu1jB4zrXZN7Y4kBBOzizDQ",
- "wikiart": "https://drive.google.com/uc?id=1cJQtMeTy_QldOP7n64F8stCDXY6Esup9",
- "anime": "https://mega.nz/#!vawjXISI!F7s13yRicxDA3QYqYDL2kjnc2K7Zk3DwCIYETREmBP4"
- },
- 2: {
- "cars": "gdrive:networks/stylegan2-car-config-f.pkl",
- "cats": "gdrive:networks/stylegan2-cat-config-f.pkl",
- "ffhq": "gdrive:networks/stylegan2-ffhq-config-f.pkl",
- "horse": "gdrive:networks/stylegan2-horse-config-f.pkl",
- "ukiyoe": "gdrive:networks/ukiyoe-256-slim-diffAug-002789.pkl",
- "beetles": "gdrive:networks/beetles.pkl",
- "anime": "mega:file/2020-01-11-skylion-stylegan2-animeportraits-networksnapshot-024664.pkl.xz"
- }
- }
- def prettify_name(name):
- valid = "-_%s%s" % (string.ascii_letters, string.digits)
- return ''.join(map(lambda c: c if c in valid else '_', name))
- # Add padding to sequence of images
- # Used in conjunction with np.hstack/np.vstack
- # By default: adds one 64th of the width of horizontal padding
- def pad_frames(strip, pad_fract_horiz=64, pad_fract_vert=0, pad_value=None):
- dtype = strip[0].dtype
- if pad_value is None:
- if dtype in [np.float32, np.float64]:
- pad_value = 1.0
- else:
- pad_value = np.iinfo(dtype).max
- frames = [strip[0]]
- for frame in strip[1:]:
- if pad_fract_horiz > 0:
- frames.append(pad_value * np.ones((frame.shape[0], frame.shape[1] // pad_fract_horiz, 3), dtype=dtype))
- elif pad_fract_vert > 0:
- frames.append(pad_value * np.ones((frame.shape[0] // pad_fract_vert, frame.shape[1], 3), dtype=dtype))
- frames.append(frame)
- return frames
- def centre_strip_stylegan(Gs, Gs_kwargs, z, lat_comp, lat_mean, lat_stdev, idx, sigma, num_frames, layer_start, layer_end):
- input_shape = Gs.input_shape[1]
- num_layers = Gs.components.mapping.output_shape[1]
-
- w_avg = Gs.get_var('dlatent_avg')
- w = Gs.components.mapping.run(z, None, dlatent_broadcast=None)
-
- w = w.reshape((1, input_shape))
- sigma_range = np.linspace(-sigma, sigma, num_frames)
-
- dotp = np.sum((w - lat_mean) * lat_comp[idx] / (np.linalg.norm(lat_comp[idx]) + 1e-8), axis=-1, keepdims=True)
- zeroing_offset_lat = dotp * lat_comp[idx] / (np.linalg.norm(lat_comp[idx] + 1e-8))
- batch_frames = []
- for j in range(len(sigma_range)):
-
- ws = Gs.components.mapping.run(z, None)
- ws = ws.reshape((num_layers, 1, input_shape))
- s = sigma_range[j]
- delta = lat_comp[idx] * s * lat_stdev[idx]
- for k in range(layer_start, layer_end):
- ws[k] = ws[k] - zeroing_offset_lat + delta
- ws = w_avg + (ws - w_avg) * Gs_kwargs.truncation_psi
- imgs = Gs.components.synthesis.run(ws.reshape((1, num_layers, input_shape)), **Gs_kwargs)
- batch_frames.append(imgs[0])
-
- return batch_frames
- def get_hash(url):
- url_ffhq = 'https://drive.google.com/uc?id=1MEGjdvVpUsu1jB4zrXZN7Y4kBBOzizDQ' # karras2019stylegan-ffhq-1024x1024.pkl
- url_celebahq = 'https://drive.google.com/uc?id=1MGqJl28pN4t7SAtSrPdSRJSQJqahkzUf' # karras2019stylegan-celebahq-1024x1024.pkl
- url_bedrooms = 'https://drive.google.com/uc?id=1MOSKeGF0FJcivpBI7s63V9YHloUTORiF' # karras2019stylegan-bedrooms-256x256.pkl
- url_cars = 'https://drive.google.com/uc?id=1MJ6iCfNtMIRicihwRorsM3b7mmtmK9c3' # karras2019stylegan-cars-512x384.pkl
- url_cats = 'https://drive.google.com/uc?id=1MQywl0FNt6lHu8E_EUqnRbviagS7fbiJ' # karras2019stylegan-cats-256x256.pkl
- url_wikiart = 'https://drive.google.com/uc?id=1cJQtMeTy_QldOP7n64F8stCDXY6Esup9' # network-snapshot-011125.pkl
- url = url.encode("utf-8")
- return hashlib.md5(url).hexdigest()
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