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""" |
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# Copyright 2020 Adobe |
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# All Rights Reserved. |
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# NOTICE: Adobe permits you to use, modify, and distribute this file in |
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# accordance with the terms of the Adobe license agreement accompanying |
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# it. |
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""" |
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import os, glob |
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import numpy as np |
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import cv2 |
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import argparse |
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import platform |
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import torch |
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from util.utils import try_mkdir |
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from src.approaches.train_content import Audio2landmark_model |
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ROOT_DIR = r'/mnt/ntfs/Dataset/TalkingToon/Obama_for_train' |
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DEMO_CH = '' |
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parser = argparse.ArgumentParser() |
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parser.add_argument('--root_dir', type=str, default=ROOT_DIR, help='Root dir for data') |
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parser.add_argument('--nepoch', type=int, default=1001, help='number of epochs to train for') |
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parser.add_argument('--batch_size', type=int, default=1, help='batch size') |
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parser.add_argument('--in_batch_nepoch', type=int, default=1, help='') |
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parser.add_argument('--first_in_batch_nepoch', type=int, default=1, help='') |
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parser.add_argument('--segment_batch_size', type=int, default=128, help='batch size') |
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parser.add_argument('--num_window_frames', type=int, default=18, help='') |
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parser.add_argument('--num_window_step', type=int, default=1, help='') |
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parser.add_argument('--dump_dir', type=str, default='', help='') |
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parser.add_argument('--dump_file_name', type=str, default='celeb_withrot', help='') |
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parser.add_argument('--lr', type=float, default=1e-4, help='learning rate') |
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parser.add_argument('--reg_lr', type=float, default=0., help='weight decay') |
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parser.add_argument('--drop_out', type=float, default=0.5, help='drop out') |
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parser.add_argument('--verbose', type=int, default=1, help='0 - detail, 2 - simplify') |
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parser.add_argument('--write', default=False, action='store_true') |
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parser.add_argument('--add_pos', default=False, action='store_true') |
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parser.add_argument('--use_motion_loss', default=False, action='store_true') |
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parser.add_argument('--name', type=str, default='tmp') |
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parser.add_argument('--puppet_name', type=str, default=DEMO_CH) |
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parser.add_argument('--in_size', type=int, default=80) |
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parser.add_argument('--use_lip_weight', default=True, action='store_false') |
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parser.add_argument('--lambda_mse_loss', default=1.0, type=float) |
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parser.add_argument('--show_animation', default=False, action='store_true') |
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parser.add_argument('--use_prior_net', default=True, action='store_false') |
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parser.add_argument('--hidden_size', default=256, type=int) |
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parser.add_argument('--load_a2l_C_name', type=str, default='') |
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parser.add_argument('--use_reg_as_std', default=True, action='store_false') |
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parser.add_argument('--lambda_laplacian_smooth_loss', default=1.0, type=float) |
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parser.add_argument('--test_emb', default=False, action='store_true') |
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parser.add_argument('--train', default=False, action='store_true') |
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parser.add_argument('--test_end2end', default=False, action='store_true') |
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parser.add_argument('--jpg_freq', type=int, default=1, help='') |
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parser.add_argument('--ckpt_epoch_freq', type=int, default=1, help='') |
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parser.add_argument('--random_clip_num', type=int, default=2, help='') |
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opt_parser = parser.parse_args() |
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root_dir = ROOT_DIR |
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opt_parser.dump_dir = os.path.join(opt_parser.root_dir, 'dump') |
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opt_parser.ckpt_dir = os.path.join(opt_parser.root_dir, 'ckpt', opt_parser.name) |
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try_mkdir(opt_parser.ckpt_dir) |
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opt_parser.log_dir = os.path.join(opt_parser.root_dir, 'log') |
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try_mkdir(opt_parser.dump_dir.replace('dump','nn_result')) |
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try_mkdir(os.path.join(opt_parser.dump_dir.replace('dump', 'nn_result'), opt_parser.name)) |
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model = Audio2landmark_model(opt_parser) |
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if(opt_parser.train): |
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model.train() |
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else: |
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model.test() |
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