將視頻按 FPS 拆解成單張圖片 使用 cv2.VideoCapture cv2.VideoCapture (video_path) 計算 FPS 使用，注意部分壓縮視頻 FPS 存在丟幀情況，需要進行跳幀處理 fps = int (vidcap.get (cv2.CAP_PROP_FPS))
def video_split():
video_path = 'test/video/video_01.mp4'
video_name = video_path[:-4]
vidcap = cv2.VideoCapture(video_path)
success,image = vidcap.read()
fps = int(vidcap.get(cv2.CAP_PROP_FPS))
count = 0
while success:
image = image_process(image)
cv2.imwrite("%s/%d.jpg" % (video_name, count), image)
#if count % fps == 0:
# cv2.imwrite("%s/%d.jpg" % (video_name, int(count / fps)), image)
print (' 處理第 % d 秒: ' % int (count /fps), success)
success,image = vidcap.read()
count += 1
將單張圖片集合合併成視頻 使用 cv2.VideoWriter fourcc = cv2.VideoWriter_fourcc ('D', 'I', 'V', 'X') #不同視頻編碼對應不同視頻格式（例：'I','4','2','0' 對應 avi 格式） video = cv2.VideoWriter ( file_path, fourcc, fps, size)
def video_combine():
path = 'test/video/video_01/'# 文件路徑
filelist = os.listdir (path) #獲取該目錄下的所有文件名
filelist.sort(key=alphanum_key)
fps = 6
size = (580,420) #圖片的分辨率片
file_path = 'test/video/video_01_out.mp4'# 導出路徑
fourcc = cv2.VideoWriter_fourcc ('D', 'I', 'V', 'X') #不同視頻編碼對應不同視頻格式（例：'I','4','2','0' 對應 avi 格式）
video = cv2.VideoWriter( file_path, fourcc, fps, size)
for item in filelist:
if item.endswith('.png'): #判斷圖片後綴是否是.png
item = path + '/' + item
image = cv2.imread(item) #使用opencv讀取圖像，直接返回numpy.ndarray 對象，通道順序為BGR ，注意是BGR，通道值默認範圍0-255。
video.write(image) #把圖片寫進視頻
video.release() #釋放
現在編碼用到了 CV_FOURCC 獲取編碼格式： CV_FOURCC ('P', 'I', 'M', '1') = MPEG-1 codec CV_FOURCC ('M', 'J', 'P', 'G') = motion-jpeg codec CV_FOURCC ('M', 'P', '4', '2') = MPEG-4.2 codec CV_FOURCC ('D', 'I', 'V', '3') = MPEG-4.3 codec CV_FOURCC ('D', 'I', 'V', 'X') = MPEG-4 codec CV_FOURCC ('U', '2', '6', '3') = H263 codec CV_FOURCC ('I', '2', '6', '3') = H263I codec CV_FOURCC ('F', 'L', 'V', '1') = FLV1 codec
參考： https://blog.csdn.net/errors\_in\_life/article/details/72809580 http://www.fjii.com/yw/2018/0919/182870.shtml