Remove Windows-only path sanitization
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@@ -85,20 +85,6 @@ def resolve_relative_path(path : str) -> str:
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return os.path.abspath(os.path.join(os.path.dirname(__file__), path))
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def sanitize_path_for_windows(full_path : str) -> Optional[str]:
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buffer_size = 0
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while True:
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unicode_buffer = ctypes.create_unicode_buffer(buffer_size)
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buffer_limit = ctypes.windll.kernel32.GetShortPathNameW(full_path, unicode_buffer, buffer_size) #type:ignore[attr-defined]
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if buffer_size > buffer_limit:
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return unicode_buffer.value
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if buffer_limit == 0:
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return None
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buffer_size = buffer_limit
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def copy_file(file_path : str, move_path : str) -> bool:
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if is_file(file_path):
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shutil.copy(file_path, move_path)
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@@ -1,3 +1,4 @@
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import os
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from functools import lru_cache
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from typing import List, Optional, Tuple
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@@ -7,7 +8,7 @@ from cv2.typing import Size
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import facefusion.choices
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from facefusion.common_helper import is_windows
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from facefusion.filesystem import is_image, is_video, sanitize_path_for_windows
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from facefusion.filesystem import is_image, is_video
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from facefusion.typing import Duration, Fps, Orientation, Resolution, VisionFrame
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@@ -28,7 +29,8 @@ def read_static_images(image_paths : List[str]) -> List[VisionFrame]:
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def read_image(image_path : str) -> Optional[VisionFrame]:
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if is_image(image_path):
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if is_windows():
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image_path = sanitize_path_for_windows(image_path)
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image_binary = numpy.fromfile(image_path, dtype = numpy.uint8)
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return cv2.imdecode(image_binary, cv2.IMREAD_COLOR)
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return cv2.imread(image_path)
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return None
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@@ -36,7 +38,10 @@ def read_image(image_path : str) -> Optional[VisionFrame]:
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def write_image(image_path : str, vision_frame : VisionFrame) -> bool:
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if image_path:
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if is_windows():
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image_path = sanitize_path_for_windows(image_path)
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_, file_extension = os.path.splitext(image_path)
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_, vision_frame = cv2.imencode(file_extension, vision_frame)
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vision_frame.tofile(image_path)
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return is_image(image_path)
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return cv2.imwrite(image_path, vision_frame)
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return False
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@@ -45,7 +50,9 @@ def detect_image_resolution(image_path : str) -> Optional[Resolution]:
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if is_image(image_path):
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image = read_image(image_path)
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height, width = image.shape[:2]
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return width, height
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if width > 0 and height > 0:
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return width, height
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return None
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@@ -74,8 +81,6 @@ def create_image_resolutions(resolution : Resolution) -> List[str]:
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def get_video_frame(video_path : str, frame_number : int = 0) -> Optional[VisionFrame]:
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if is_video(video_path):
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if is_windows():
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video_path = sanitize_path_for_windows(video_path)
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video_capture = cv2.VideoCapture(video_path)
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if video_capture.isOpened():
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frame_total = video_capture.get(cv2.CAP_PROP_FRAME_COUNT)
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@@ -89,8 +94,6 @@ def get_video_frame(video_path : str, frame_number : int = 0) -> Optional[Vision
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def count_video_frame_total(video_path : str) -> int:
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if is_video(video_path):
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if is_windows():
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video_path = sanitize_path_for_windows(video_path)
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video_capture = cv2.VideoCapture(video_path)
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if video_capture.isOpened():
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video_frame_total = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT))
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@@ -101,8 +104,6 @@ def count_video_frame_total(video_path : str) -> int:
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def detect_video_fps(video_path : str) -> Optional[float]:
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if is_video(video_path):
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if is_windows():
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video_path = sanitize_path_for_windows(video_path)
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video_capture = cv2.VideoCapture(video_path)
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if video_capture.isOpened():
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video_fps = video_capture.get(cv2.CAP_PROP_FPS)
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@@ -154,8 +155,6 @@ def restrict_trim_frame(video_path : str, trim_frame_start : Optional[int], trim
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def detect_video_resolution(video_path : str) -> Optional[Resolution]:
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if is_video(video_path):
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if is_windows():
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video_path = sanitize_path_for_windows(video_path)
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video_capture = cv2.VideoCapture(video_path)
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if video_capture.isOpened():
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width = video_capture.get(cv2.CAP_PROP_FRAME_WIDTH)
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@@ -194,7 +193,7 @@ def create_video_resolutions(resolution : Resolution) -> List[str]:
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def normalize_resolution(resolution : Tuple[float, float]) -> Resolution:
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width, height = resolution
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if width and height:
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if width > 0 and height > 0:
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normalize_width = round(width / 2) * 2
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normalize_height = round(height / 2) * 2
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return normalize_width, normalize_height
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@@ -2,9 +2,8 @@ import os.path
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import pytest
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from facefusion.common_helper import is_windows
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from facefusion.download import conditional_download
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from facefusion.filesystem import copy_file, create_directory, filter_audio_paths, filter_image_paths, get_file_size, has_audio, has_image, in_directory, is_audio, is_directory, is_file, is_image, is_video, list_directory, remove_directory, same_file_extension, sanitize_path_for_windows
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from facefusion.filesystem import create_directory, filter_audio_paths, filter_image_paths, get_file_size, has_audio, has_image, in_directory, is_audio, is_directory, is_file, is_image, is_video, list_directory, remove_directory, same_file_extension
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from .helper import get_test_example_file, get_test_examples_directory, get_test_outputs_directory
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@@ -16,7 +15,6 @@ def before_all() -> None:
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'https://github.com/facefusion/facefusion-assets/releases/download/examples-3.0.0/source.mp3',
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'https://github.com/facefusion/facefusion-assets/releases/download/examples-3.0.0/target-240p.mp4'
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])
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copy_file(get_test_example_file('source.jpg'), get_test_example_file('söurce.jpg'))
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def test_get_file_size() -> None:
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@@ -91,12 +89,6 @@ def test_filter_image_paths() -> None:
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assert filter_audio_paths([ 'invalid' ]) == []
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def test_sanitize_path_for_windows() -> None:
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if is_windows():
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assert sanitize_path_for_windows(get_test_example_file('söurce.jpg')).endswith('SURCE~1.JPG')
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assert sanitize_path_for_windows('invalid') is None
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def test_create_directory() -> None:
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create_directory_path = os.path.join(get_test_outputs_directory(), 'create_directory')
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@@ -39,7 +39,6 @@ def test_read_image() -> None:
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assert read_image('invalid') is None
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@pytest.mark.skip()
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def test_write_image() -> None:
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vision_frame = read_image(get_test_example_file('target-240p.jpg'))
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