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from typing import Optional | |
import cv2 | |
import numpy as np | |
from roop.typing import Frame | |
current_video_path = None | |
current_frame_total = 0 | |
current_capture = None | |
def get_image_frame(filename: str): | |
try: | |
return cv2.imdecode(np.fromfile(filename, dtype=np.uint8), cv2.IMREAD_COLOR) | |
except: | |
print(f"Exception reading {filename}") | |
return None | |
def get_video_frame(video_path: str, frame_number: int = 0) -> Optional[Frame]: | |
global current_video_path, current_capture, current_frame_total | |
if video_path != current_video_path: | |
release_video() | |
current_capture = cv2.VideoCapture(video_path) | |
current_video_path = video_path | |
current_frame_total = current_capture.get(cv2.CAP_PROP_FRAME_COUNT) | |
current_capture.set(cv2.CAP_PROP_POS_FRAMES, min(current_frame_total, frame_number - 1)) | |
has_frame, frame = current_capture.read() | |
if has_frame: | |
return frame | |
return None | |
def release_video(): | |
global current_capture | |
if current_capture is not None: | |
current_capture.release() | |
current_capture = None | |
def get_video_frame_total(video_path: str) -> int: | |
capture = cv2.VideoCapture(video_path) | |
video_frame_total = int(capture.get(cv2.CAP_PROP_FRAME_COUNT)) | |
capture.release() | |
return video_frame_total | |