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July 29, 2024 09:40
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OpenCV で Non-local Means フィルタ(動画)
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import itertools | |
from collections import deque | |
from rich.progress import track | |
import cv2 | |
n = 5 | |
process_frames = 60 * 3 | |
cap = cv2.VideoCapture("SSX.avi") | |
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) | |
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) | |
fps = float(cap.get(cv2.CAP_PROP_FPS)) | |
def iframes(cap, max_frames=None): | |
i = 0 | |
while cap.isOpened(): | |
ret, frame = cap.read() | |
if not ret or max_frames is not None and i > max_frames: | |
break | |
yield frame | |
i += 1 | |
def window(cap, n=5, max_frames=None): | |
pad = n // 2 | |
queue = deque(maxlen=n) | |
for frame in itertools.chain([None] * pad, iframes(cap, max_frames=max_frames), [None] * pad): | |
queue.append(frame) | |
if len(queue) == n: | |
yield list(queue) | |
fourcc = cv2.VideoWriter_fourcc(*"mp4v") | |
writer = cv2.VideoWriter("OUTPUT.mp4", fourcc, fps, (width, height), isColor=True) | |
for frames in track(window(cap, n=n, max_frames=process_frames)): | |
while frames[0] is None or frames[-1] is None: | |
frames = frames[1:-1] | |
result = cv2.fastNlMeansDenoisingColoredMulti(frames, imgToDenoiseIndex=(len(frames) // 2), temporalWindowSize=len(frames), dst=None, h=4, hColor=4, templateWindowSize=5, searchWindowSize=17) | |
writer.write(result) | |
cap.release() | |
writer.release() |
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