| 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 |
|
|