| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # 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 CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| import mxnet as mx |
| import numpy as np |
| |
| #import basic |
| import data_processing |
| import gen_v3 |
| import gen_v4 |
| |
| dshape = (1, 3, 480, 640) |
| clip_norm = 1.0 * np.prod(dshape) |
| model_prefix = "./model/" |
| ctx = mx.gpu(0) |
| |
| # generator |
| gens = [gen_v4.get_module("g0", dshape, ctx), |
| gen_v3.get_module("g1", dshape, ctx), |
| gen_v3.get_module("g2", dshape, ctx), |
| gen_v4.get_module("g3", dshape, ctx)] |
| for i in range(len(gens)): |
| gens[i].load_params("./model/%d/v3_0002-0026000.params" % i) |
| |
| content_np = data_processing.PreprocessContentImage("../input/IMG_4343.jpg", min(dshape[2:]), dshape) |
| data = [mx.nd.array(content_np)] |
| for i in range(len(gens)): |
| gens[i].forward(mx.io.DataBatch([data[-1]], [0]), is_train=False) |
| new_img = gens[i].get_outputs()[0] |
| data.append(new_img.copyto(mx.cpu())) |
| data_processing.SaveImage(new_img.asnumpy(), "out_%d.jpg" % i) |
