YUV420p视频转成多帧图像
import os
import cv2
import numpy as np
from typing import List
def YUVvideo2IMGs(file, savepath, height, width ):
"""
Convert the YUV video to RGB images and save the images at the target folder
Args:
file: input yuv file name
savepath: save path of each RGB images
height: height of images
width: width of images
Returns:
"""
img_size = int(width * height * 3 / 2)
frames = int(os.path.getsize(file) / img_size)
with open(file, "rb") as f:
for frame_idx in range(frames):
yuv = np.zeros(shape=img_size, dtype='uint8', order='C')
for j in range(img_size):
yuv[j] = ord(f.read(1))
img = yuv.reshape((height * 3 // 2, width)).astype('uint8')
bgr_img = cv2.cvtColor(img, cv2.COLOR_YUV2BGR_I420)
if bgr_img is not None:
cv2.imwrite(os.path.join(savepath, "f%03d.png" % (frame_idx+1)), bgr_img)
多帧图像转成YUV420p
import os
import cv2
import numpy as np
from typing import List
IMG_EXTENSIONS = (
".jpg",
".jpeg",
".png",
".ppm",
".bmp",
".pgm",
".tif",
".tiff",
".webp",
)
def collect_images(rootpath: str) -> List[str]:
return [
os.path.join(rootpath, f)
for f in os.listdir(rootpath)
if os.path.splitext(f)[-1].lower() in IMG_EXTENSIONS
]
def IMG2YUVvideo(Imgdir, YUVfile):
"""
:param Imgdir: input image folder of the
:param YUVfile:
:return:
"""
Imagepaths = sorted(collect_images(Imgdir))
img = cv2.imread(Imagepaths[0])
(height, width, _) = img.shape
with open(YUVfile, "wb+") as f:
for i in Imagepaths:
img = cv2.imread(i)
YUV = cv2.cvtColor(img, cv2.COLOR_BGR2YUV_I420)
YUV = YUV.reshape(height * width * 3 // 2)
f.write(np.array(YUV, dtype=np.uint8).tobytes())
