如何使用matlib函数plt.imshow(image)显示多张图像?
例如我的代码如下:
for file in images:
process(file)
def process(filename):
image = mpimg.imread(filename)
<something gets done here>
plt.imshow(image)
我的结果显示,仅显示最后处理的图像,有效覆盖其他图像
要显示多个图像,请使用 subplot()
plt.figure()
#subplot(r,c) provide the no. of rows and columns
f, axarr = plt.subplots(4,1)
# use the created array to output your multiple images. In this case I have stacked 4 images vertically
axarr[0].imshow(v_slice[0])
axarr[1].imshow(v_slice[1])
axarr[2].imshow(v_slice[2])
axarr[3].imshow(v_slice[3])
您可以使用以下命令设置一个框架来显示多个图像:
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
def process(filename: str=None) -> None:
"""
View multiple images stored in files, stacking vertically
Arguments:
filename: str - path to filename containing image
"""
image = mpimg.imread(filename)
# <something gets done here>
plt.figure()
plt.imshow(image)
for file in images:
process(file)
这将垂直堆叠图像
首先,将文件中的图像加载到 numpy 矩阵中
from typing import Union,List
import numpy
import cv2
import os
def load_image(image: Union[str, numpy.ndarray]) -> numpy.ndarray:
# Image provided ad string, loading from file ..
if isinstance(image, str):
# Checking if the file exist
if not os.path.isfile(image):
print("File {} does not exist!".format(imageA))
return None
# Reading image as numpy matrix in gray scale (image, color_param)
return cv2.imread(image, 0)
# Image alredy loaded
elif isinstance(image, numpy.ndarray):
return image
# Format not recognized
else:
print("Unrecognized format: {}".format(type(image)))
print("Unrecognized format: {}".format(image))
return None
然后您可以使用以下方法绘制多个图像:
import matplotlib.pyplot as plt
def show_images(images: List[numpy.ndarray]) -> None:
n: int = len(images)
f = plt.figure()
for i in range(n):
# Debug, plot figure
f.add_subplot(1, n, i + 1)
plt.imshow(images[i])
plt.show(block=True)
show_images
方法输入图像列表,您可以使用load_image
方法迭代读取这些图像。
在 for 循环中的
plt.show()
之后使用 plt.imshow(image)
对我有用。
for file in images:
process(file)
def process(filename):
image = mpimg.imread(filename)
# <something gets done here>
plt.imshow(image)
plt.show()
以 Aadhar Bhatt 的答案为基础:
from matplotlib.image import imread
import matplotlib.pyplot as plt
v_slice = [] #create an empty list called v_slice
for i in range(0,4):
image = imread("test.png") #Here I load the same image 4 times-replace this with code that generates images
v_slice.append(image)
#Aadhar Bhatt's answer
plt.figure()
#subplot(r,c) provide the no. of rows and columns
f, axarr = plt.subplots(4,1)
# use the created array to output your multiple images. In this case I have stacked 4 images vertically
axarr[0].imshow(v_slice[0])
axarr[1].imshow(v_slice[1])
axarr[2].imshow(v_slice[2])
axarr[3].imshow(v_slice[3])