Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -1,7 +1,8 @@
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#
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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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@@ -14,6 +15,8 @@ from PIL import Image
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import spaces
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import uuid
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import onnxruntime as ort
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@spaces.GPU
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def swap_face(source_file, target_file, doFaceEnhancer):
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@@ -32,6 +35,16 @@ def swap_face(source_file, target_file, doFaceEnhancer):
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print("source_path: ", source_path)
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print("target_path: ", target_path)
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output_path = os.path.join(session_dir, "output.jpg")
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normalized_output_path = normalize_output_path(source_path, target_path, output_path)
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@@ -43,7 +56,7 @@ def swap_face(source_file, target_file, doFaceEnhancer):
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many_faces = False
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video_encoder = "libx264"
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video_quality = 18
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max_memory = "
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execution_providers = ["CUDAExecutionProvider", "CPUExecutionProvider"] # Ưu tiên GPU, sau đó là CPU
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execution_threads = 4
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reference_face_position = 0
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@@ -55,7 +68,7 @@ def swap_face(source_file, target_file, doFaceEnhancer):
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for frame_processor in get_frame_processors_modules(frame_processors):
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if not frame_processor.pre_check():
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print(f"Pre-check failed for {frame_processor}")
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-
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roop.globals.source_path = source_path
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roop.globals.target_path = target_path
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@@ -75,7 +88,7 @@ def swap_face(source_file, target_file, doFaceEnhancer):
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roop.globals.similar_face_distance = similar_face_distance
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start()
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return
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app = gr.Interface(
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fn=swap_face,
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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 gradio.exceptions
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import roop.globals
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from roop.core import (
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start,
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import spaces
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import uuid
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import onnxruntime as ort
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import cv2
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from roop.face_analyser import get_one_face
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@spaces.GPU
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def swap_face(source_file, target_file, doFaceEnhancer):
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print("source_path: ", source_path)
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print("target_path: ", target_path)
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# Check if a face is detected in the source image
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source_face = get_one_face(cv2.imread(source_path))
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if source_face is None:
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raise gradio.exceptions.Error("No face in source path detected.")
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# Check if a face is detected in the target image
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target_face = get_one_face(cv2.imread(target_path))
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if target_face is None:
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raise gradio.exceptions.Error("No face in target path detected.")
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output_path = os.path.join(session_dir, "output.jpg")
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normalized_output_path = normalize_output_path(source_path, target_path, output_path)
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many_faces = False
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video_encoder = "libx264"
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video_quality = 18
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max_memory = "40G"
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execution_providers = ["CUDAExecutionProvider", "CPUExecutionProvider"] # Ưu tiên GPU, sau đó là CPU
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execution_threads = 4
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reference_face_position = 0
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for frame_processor in get_frame_processors_modules(frame_processors):
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if not frame_processor.pre_check():
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print(f"Pre-check failed for {frame_processor}")
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raise gradio.exceptions.Error(f"Pre-check failed for {frame_processor}")
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roop.globals.source_path = source_path
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roop.globals.target_path = target_path
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roop.globals.similar_face_distance = similar_face_distance
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start()
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return normalized_output_path
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app = gr.Interface(
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fn=swap_face,
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