File size: 6,775 Bytes
e78c13e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.

import os
import argparse
import shutil
import sys
from subprocess import call

def run_cmd(command):
    try:
        call(command, shell=True)
    except KeyboardInterrupt:
        print("Process interrupted")
        sys.exit(1)

if __name__ == "__main__":

    parser = argparse.ArgumentParser()
    parser.add_argument("--input_folder", type=str, default="./test_images/old", help="Test images")
    parser.add_argument(
        "--output_folder",
        type=str,
        default="./output",
        help="Restored images, please use the absolute path",
    )
    parser.add_argument("--GPU", type=str, default="6,7", help="0,1,2")
    parser.add_argument(
        "--checkpoint_name", type=str, default="Setting_9_epoch_100", help="choose which checkpoint"
    )
    parser.add_argument("--with_scratch", action="store_true")
    parser.add_argument("--HR", action='store_true')
    opts = parser.parse_args()

    gpu1 = opts.GPU

    # resolve relative paths before changing directory
    opts.input_folder = os.path.abspath(opts.input_folder)
    opts.output_folder = os.path.abspath(opts.output_folder)
    if not os.path.exists(opts.output_folder):
        os.makedirs(opts.output_folder)

    main_environment = os.getcwd()

    ## Stage 1: Overall Quality Improve
    print("Running Stage 1: Overall restoration")
    os.chdir("./Global")
    stage_1_input_dir = opts.input_folder
    stage_1_output_dir = os.path.join(opts.output_folder, "stage_1_restore_output")
    if not os.path.exists(stage_1_output_dir):
        os.makedirs(stage_1_output_dir)

    if not opts.with_scratch:
        stage_1_command = (
            "python test.py --test_mode Full --Quality_restore --test_input "
            + stage_1_input_dir
            + " --outputs_dir "
            + stage_1_output_dir
            + " --gpu_ids "
            + gpu1
        )
        run_cmd(stage_1_command)
    else:

        mask_dir = os.path.join(stage_1_output_dir, "masks")
        new_input = os.path.join(mask_dir, "input")
        new_mask = os.path.join(mask_dir, "mask")
        stage_1_command_1 = (
            "python detection.py --test_path "
            + stage_1_input_dir
            + " --output_dir "
            + mask_dir
            + " --input_size full_size"
            + " --GPU "
            + gpu1
        )

        if opts.HR:
            HR_suffix=" --HR"
        else:
            HR_suffix=""

        stage_1_command_2 = (
            "python test.py --Scratch_and_Quality_restore --test_input "
            + new_input
            + " --test_mask "
            + new_mask
            + " --outputs_dir "
            + stage_1_output_dir
            + " --gpu_ids "
            + gpu1 + HR_suffix
        )

        run_cmd(stage_1_command_1)
        run_cmd(stage_1_command_2)

    ## Solve the case when there is no face in the old photo
    stage_1_results = os.path.join(stage_1_output_dir, "restored_image")
    stage_4_output_dir = os.path.join(opts.output_folder, "final_output")
    if not os.path.exists(stage_4_output_dir):
        os.makedirs(stage_4_output_dir)
    for x in os.listdir(stage_1_results):
        img_dir = os.path.join(stage_1_results, x)
        shutil.copy(img_dir, stage_4_output_dir)

    print("Finish Stage 1 ...")
    print("\n")

    ## Stage 2: Face Detection

    print("Running Stage 2: Face Detection")
    os.chdir(".././Face_Detection")
    stage_2_input_dir = os.path.join(stage_1_output_dir, "restored_image")
    stage_2_output_dir = os.path.join(opts.output_folder, "stage_2_detection_output")
    if not os.path.exists(stage_2_output_dir):
        os.makedirs(stage_2_output_dir)
    if opts.HR:
        stage_2_command = (
            "python detect_all_dlib_HR.py --url " + stage_2_input_dir + " --save_url " + stage_2_output_dir
        )
    else:
        stage_2_command = (
            "python detect_all_dlib.py --url " + stage_2_input_dir + " --save_url " + stage_2_output_dir
        )
    run_cmd(stage_2_command)
    print("Finish Stage 2 ...")
    print("\n")

    ## Stage 3: Face Restore
    print("Running Stage 3: Face Enhancement")
    os.chdir(".././Face_Enhancement")
    stage_3_input_mask = "./"
    stage_3_input_face = stage_2_output_dir
    stage_3_output_dir = os.path.join(opts.output_folder, "stage_3_face_output")
    if not os.path.exists(stage_3_output_dir):
        os.makedirs(stage_3_output_dir)
    
    if opts.HR:
        opts.checkpoint_name='FaceSR_512'
        stage_3_command = (
            "python test_face.py --old_face_folder "
            + stage_3_input_face
            + " --old_face_label_folder "
            + stage_3_input_mask
            + " --tensorboard_log --name "
            + opts.checkpoint_name
            + " --gpu_ids "
            + gpu1
            + " --load_size 512 --label_nc 18 --no_instance --preprocess_mode resize --batchSize 1 --results_dir "
            + stage_3_output_dir
            + " --no_parsing_map"
        ) 
    else:
        stage_3_command = (
            "python test_face.py --old_face_folder "
            + stage_3_input_face
            + " --old_face_label_folder "
            + stage_3_input_mask
            + " --tensorboard_log --name "
            + opts.checkpoint_name
            + " --gpu_ids "
            + gpu1
            + " --load_size 256 --label_nc 18 --no_instance --preprocess_mode resize --batchSize 4 --results_dir "
            + stage_3_output_dir
            + " --no_parsing_map"
        )
    run_cmd(stage_3_command)
    print("Finish Stage 3 ...")
    print("\n")

    ## Stage 4: Warp back
    print("Running Stage 4: Blending")
    os.chdir(".././Face_Detection")
    stage_4_input_image_dir = os.path.join(stage_1_output_dir, "restored_image")
    stage_4_input_face_dir = os.path.join(stage_3_output_dir, "each_img")
    stage_4_output_dir = os.path.join(opts.output_folder, "final_output")
    if not os.path.exists(stage_4_output_dir):
        os.makedirs(stage_4_output_dir)
    if opts.HR:
        stage_4_command = (
            "python align_warp_back_multiple_dlib_HR.py --origin_url "
            + stage_4_input_image_dir
            + " --replace_url "
            + stage_4_input_face_dir
            + " --save_url "
            + stage_4_output_dir
        )
    else:
        stage_4_command = (
            "python align_warp_back_multiple_dlib.py --origin_url "
            + stage_4_input_image_dir
            + " --replace_url "
            + stage_4_input_face_dir
            + " --save_url "
            + stage_4_output_dir
        )
    run_cmd(stage_4_command)
    print("Finish Stage 4 ...")
    print("\n")

    print("All the processing is done. Please check the results.")