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| # -* coding:UTF-8 -* | |
| # !/usr/bin/env python | |
| import numpy as np | |
| import gradio as gr | |
| import roop.globals | |
| from roop.core import ( | |
| start, | |
| decode_execution_providers, | |
| suggest_max_memory, | |
| suggest_execution_threads, | |
| ) | |
| from roop.processors.frame.core import get_frame_processors_modules | |
| from roop.utilities import normalize_output_path | |
| import os | |
| from PIL import Image | |
| def swap_face(source_file, target_file,doFaceEnhancer): | |
| source_path = "input.jpg" | |
| target_path = "target.jpg" | |
| source_image = Image.fromarray(source_file) | |
| source_image.save(source_path) | |
| target_image = Image.fromarray(target_file) | |
| target_image.save(target_path) | |
| print("source_path: ", source_path) | |
| print("target_path: ", target_path) | |
| roop.globals.source_path = source_path | |
| roop.globals.target_path = target_path | |
| output_path = "output.jpg" | |
| roop.globals.output_path = normalize_output_path( | |
| roop.globals.source_path, roop.globals.target_path, output_path | |
| ) | |
| if doFaceEnhancer == True: | |
| roop.globals.frame_processors = ["face_swapper","face_enhancer"] | |
| else: | |
| roop.globals.frame_processors = ["face_swapper"] | |
| roop.globals.headless = True | |
| roop.globals.keep_fps = True | |
| roop.globals.keep_audio = True | |
| roop.globals.keep_frames = False | |
| roop.globals.many_faces = False | |
| roop.globals.video_encoder = "libx264" | |
| roop.globals.video_quality = 18 | |
| roop.globals.max_memory = suggest_max_memory() | |
| roop.globals.execution_providers = decode_execution_providers(["cuda"]) | |
| roop.globals.execution_threads = suggest_execution_threads() | |
| print( | |
| "start process", | |
| roop.globals.source_path, | |
| roop.globals.target_path, | |
| roop.globals.output_path, | |
| ) | |
| for frame_processor in get_frame_processors_modules( | |
| roop.globals.frame_processors | |
| ): | |
| if not frame_processor.pre_check(): | |
| return | |
| start() | |
| return output_path | |
| title = "Face - Интегратор" | |
| description = r""" | |
| """ | |
| article = r""" | |
| <br><br><br><br><br> | |
| """ | |
| app = gr.Interface( | |
| fn=swap_face, | |
| title=title, | |
| description=description, | |
| article=article, | |
| inputs=[gr.Image(), gr.Image(),gr.Checkbox(label="Применить алгоритм?", info="Улучшение качества изображения")], outputs="image" | |
| ) | |
| app.launch() | |