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import numpy as np |
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import cv2 |
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import PySimpleGUI as sg |
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import os.path |
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import argparse |
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import os |
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import sys |
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import shutil |
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from subprocess import call |
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def modify(image_filename=None, cv2_frame=None): |
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def run_cmd(command): |
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try: |
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call(command, shell=True) |
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except KeyboardInterrupt: |
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print("Process interrupted") |
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sys.exit(1) |
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parser = argparse.ArgumentParser() |
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parser.add_argument("--input_folder", type=str, |
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default= image_filename, help="Test images") |
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parser.add_argument( |
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"--output_folder", |
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type=str, |
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default="./output", |
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help="Restored images, please use the absolute path", |
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) |
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parser.add_argument("--GPU", type=str, default="-1", help="0,1,2") |
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parser.add_argument( |
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"--checkpoint_name", type=str, default="Setting_9_epoch_100", help="choose which checkpoint" |
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) |
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parser.add_argument("--with_scratch",default="--with_scratch" ,action="store_true") |
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opts = parser.parse_args() |
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gpu1 = opts.GPU |
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opts.input_folder = os.path.abspath(opts.input_folder) |
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opts.output_folder = os.path.abspath(opts.output_folder) |
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if not os.path.exists(opts.output_folder): |
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os.makedirs(opts.output_folder) |
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main_environment = os.getcwd() |
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print("Running Stage 1: Overall restoration") |
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os.chdir("./Global") |
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stage_1_input_dir = opts.input_folder |
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stage_1_output_dir = os.path.join( |
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opts.output_folder, "stage_1_restore_output") |
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if not os.path.exists(stage_1_output_dir): |
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os.makedirs(stage_1_output_dir) |
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if not opts.with_scratch: |
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stage_1_command = ( |
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"python test.py --test_mode Full --Quality_restore --test_input " |
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+ stage_1_input_dir |
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+ " --outputs_dir " |
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+ stage_1_output_dir |
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+ " --gpu_ids " |
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+ gpu1 |
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) |
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run_cmd(stage_1_command) |
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else: |
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mask_dir = os.path.join(stage_1_output_dir, "masks") |
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new_input = os.path.join(mask_dir, "input") |
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new_mask = os.path.join(mask_dir, "mask") |
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stage_1_command_1 = ( |
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"python detection.py --test_path " |
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+ stage_1_input_dir |
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+ " --output_dir " |
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+ mask_dir |
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+ " --input_size full_size" |
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+ " --GPU " |
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+ gpu1 |
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) |
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stage_1_command_2 = ( |
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"python test.py --Scratch_and_Quality_restore --test_input " |
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+ new_input |
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+ " --test_mask " |
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+ new_mask |
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+ " --outputs_dir " |
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+ stage_1_output_dir |
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+ " --gpu_ids " |
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+ gpu1 |
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) |
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run_cmd(stage_1_command_1) |
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run_cmd(stage_1_command_2) |
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stage_1_results = os.path.join(stage_1_output_dir, "restored_image") |
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stage_4_output_dir = os.path.join(opts.output_folder, "final_output") |
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if not os.path.exists(stage_4_output_dir): |
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os.makedirs(stage_4_output_dir) |
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for x in os.listdir(stage_1_results): |
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img_dir = os.path.join(stage_1_results, x) |
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shutil.copy(img_dir, stage_4_output_dir) |
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print("Finish Stage 1 ...") |
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print("\n") |
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print("Running Stage 2: Face Detection") |
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os.chdir(".././Face_Detection") |
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stage_2_input_dir = os.path.join(stage_1_output_dir, "restored_image") |
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stage_2_output_dir = os.path.join( |
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opts.output_folder, "stage_2_detection_output") |
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if not os.path.exists(stage_2_output_dir): |
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os.makedirs(stage_2_output_dir) |
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stage_2_command = ( |
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"python detect_all_dlib.py --url " + stage_2_input_dir + |
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" --save_url " + stage_2_output_dir |
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) |
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run_cmd(stage_2_command) |
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print("Finish Stage 2 ...") |
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print("\n") |
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print("Running Stage 3: Face Enhancement") |
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os.chdir(".././Face_Enhancement") |
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stage_3_input_mask = "./" |
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stage_3_input_face = stage_2_output_dir |
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stage_3_output_dir = os.path.join( |
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opts.output_folder, "stage_3_face_output") |
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if not os.path.exists(stage_3_output_dir): |
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os.makedirs(stage_3_output_dir) |
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stage_3_command = ( |
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"python test_face.py --old_face_folder " |
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+ stage_3_input_face |
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+ " --old_face_label_folder " |
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+ stage_3_input_mask |
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+ " --tensorboard_log --name " |
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+ opts.checkpoint_name |
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+ " --gpu_ids " |
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+ gpu1 |
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+ " --load_size 256 --label_nc 18 --no_instance --preprocess_mode resize --batchSize 4 --results_dir " |
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+ stage_3_output_dir |
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+ " --no_parsing_map" |
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) |
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run_cmd(stage_3_command) |
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print("Finish Stage 3 ...") |
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print("\n") |
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print("Running Stage 4: Blending") |
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os.chdir(".././Face_Detection") |
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stage_4_input_image_dir = os.path.join( |
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stage_1_output_dir, "restored_image") |
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stage_4_input_face_dir = os.path.join(stage_3_output_dir, "each_img") |
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stage_4_output_dir = os.path.join(opts.output_folder, "final_output") |
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if not os.path.exists(stage_4_output_dir): |
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os.makedirs(stage_4_output_dir) |
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stage_4_command = ( |
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"python align_warp_back_multiple_dlib.py --origin_url " |
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+ stage_4_input_image_dir |
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+ " --replace_url " |
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+ stage_4_input_face_dir |
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+ " --save_url " |
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+ stage_4_output_dir |
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) |
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run_cmd(stage_4_command) |
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print("Finish Stage 4 ...") |
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print("\n") |
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print("All the processing is done. Please check the results.") |
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images_col = [[sg.Text('Input file:'), sg.In(enable_events=True, key='-IN FILE-'), sg.FileBrowse()], |
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[sg.Button('Modify Photo', key='-MPHOTO-'), sg.Button('Exit')], |
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[sg.Image(filename='', key='-IN-'), sg.Image(filename='', key='-OUT-')],] |
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layout = [[sg.VSeperator(), sg.Column(images_col)]] |
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window = sg.Window('Bringing-old-photos-back-to-life', layout, grab_anywhere=True) |
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prev_filename = colorized = cap = None |
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while True: |
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event, values = window.read() |
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if event in (None, 'Exit'): |
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break |
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elif event == '-MPHOTO-': |
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try: |
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n1 = filename.split("/")[-2] |
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n2 = filename.split("/")[-3] |
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n3 = filename.split("/")[-1] |
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filename= str(f"./{n2}/{n1}") |
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modify(filename) |
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global f_image |
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f_image = f'./output/final_output/{n3}' |
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image = cv2.imread(f_image) |
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window['-OUT-'].update(data=cv2.imencode('.png', image)[1].tobytes()) |
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except: |
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continue |
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elif event == '-IN FILE-': |
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filename = values['-IN FILE-'] |
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if filename != prev_filename: |
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prev_filename = filename |
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try: |
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image = cv2.imread(filename) |
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window['-IN-'].update(data=cv2.imencode('.png', image)[1].tobytes()) |
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except: |
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continue |
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window.close() |