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Upload app (3).py
Browse files- app (3).py +72 -0
app (3).py
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# -* coding:UTF-8 -*
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# !/usr/bin/env python
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import numpy as np
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import gradio as gr
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import roop.globals
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from roop.core import (
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start,
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decode_execution_providers,
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suggest_max_memory,
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suggest_execution_threads,
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)
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from roop.processors.frame.core import get_frame_processors_modules
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from roop.utilities import normalize_output_path
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import os
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from PIL import Image
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def swap_face(source_file, target_file,doFaceEnhancer):
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source_path = "input.jpg"
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target_path = "target.jpg"
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source_image = Image.fromarray(source_file)
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source_image.save(source_path)
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target_image = Image.fromarray(target_file)
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target_image.save(target_path)
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print("source_path: ", source_path)
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print("target_path: ", target_path)
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roop.globals.source_path = source_path
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roop.globals.target_path = target_path
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output_path = "output.jpg"
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roop.globals.output_path = normalize_output_path(
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roop.globals.source_path, roop.globals.target_path, output_path
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)
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if doFaceEnhancer == True:
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roop.globals.frame_processors = ["face_swapper","face_enhancer"]
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else:
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roop.globals.frame_processors = ["face_swapper"]
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roop.globals.headless = True
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roop.globals.keep_fps = True
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roop.globals.keep_audio = True
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roop.globals.keep_frames = False
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roop.globals.many_faces = False
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roop.globals.video_encoder = "libx264"
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roop.globals.video_quality = 18
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roop.globals.max_memory = suggest_max_memory()
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roop.globals.execution_providers = decode_execution_providers(["cuda"])
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roop.globals.execution_threads = suggest_execution_threads()
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print(
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"start process",
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roop.globals.source_path,
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roop.globals.target_path,
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roop.globals.output_path,
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)
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for frame_processor in get_frame_processors_modules(
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roop.globals.frame_processors
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):
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if not frame_processor.pre_check():
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return
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start()
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return output_path
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app = gr.Interface(
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fn=swap_face, inputs=[gr.Image(), gr.Image(),gr.Checkbox(label="face_enhancer?", info="do face enhancer?")], outputs="image"
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)
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app.launch()
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