比较opencv，pillow,matplotlib,skimage读取图像的速度比较-编程知识

比较opencv，pillow,matplotlib,skimage读取图像的速度比较

上面这些库都被广泛用于图像处理和计算机视觉任务；

不同的图像读取库（OpenCV，Pillow，matplotlib和skimage）的读取速度，是怎么样的一个情况？

下面分别从读取速度，以及转换到RGB通道的numpy格式两方面进行比较，

Python代码如下：

"""
比较opencv，pillow,matplotlib,skimage读取图像的速度；"""
import cv2
from PIL import Imageimport time
import matplotlib.image as mpimg # mpimg 用于读取图片
import numpy as npfrom skimage import iodef opencv_i():st = time.time()img = cv2.imread("./images.jpg")print(f"cv2 read take time {time.time() - st} s")img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)end = time.time()print(f"opencv2 total take time {end - st} s,to rgb numpy format")def pillow_i():st = time.time()im = Image.open("./images.jpg")print(f"pillow read take time {time.time() - st} s")output = np.array(im)end = time.time()print(f"pillow rgb numpy，total take time {end - st} s,to rgb numpy format")def matplot_i():st = time.time()lena = mpimg.imread('./images.jpg') end = time.time()print(f"matplot read take time {end - st} s,to rgb numpy format")def skimage_i():st = time.time()img = io.imread('images.jpg')end = time.time()print(f"skimage read take time {end - st} s,to rgb numpy format")print("-"*30)
opencv_i()
print("-"*30)
pillow_i()
print("-"*30)
matplot_i()
print("-"*30)
skimage_i()

运行结果如下：