If you worry about, how to read and show an image using the matplotlib library then here you will get a solution for your problem using matplotlib imshow()
一种是用imageio读,另一个是用opencv。读取的图片一般用matplotlib显示。我总得看看我读取的图片对不对吧。 #用imageio读图片的时候 img_path = 'xxx\xx\xxx.hdr'; hdr = io.imread(img_path) #如果用opencv读的话 hdr = cv2.imread(img.path).astype('float32') #显示图片的时候 plt.imshow(hdr) p...
# plotting with the pylab module from matplotlib # free from: http://matplotlib.sourceforge.net/# used windows istaller matplotlib-0.90.0.win32-py2.5.exe# tested with Python25 EU 4/21/2007import mathimport# matplotlib# create the x list data# arange() is just like range() but allows f...
Matplotlib是一个python的 2D绘图库,它以各种硬拷贝格式和跨平台的交互式环境生成出版质量级别的图形。通过Matplotlib,开发者可以仅需要几行代码,便可以生成绘图,直方图,功率谱,条形图,错误图,散点图等。 简单的使用 import matplotlib.pyplot as plt squares=[1,2,3,4,5] plt.plot(squares) plt.show() 1. 2...
# save the plot as a PNG image file (optional) pylab.savefig('Fig1.png') # show the pylab plot window # you can zoom the graph, drag the graph, change the margins, save the graph pylab.show() === matplotlib compiled fine, but nothing...
解决pycharm中matplotlib、plt.show()画图时报错“qt platform问题”,程序员大本营,技术文章内容聚合第一站。
The matplotlib.imshow method is used to display the supplied data as an image. If you want to open the image in a separate window, call the show() method on it. main.py from PIL import Image from matplotlib.pyplot import imshow import numpy as np pil_image = Image.open('images/thumbna...
Using MatplotlibUsing TorchShow The image tensor has been normalized so Matlotlib cannot display it correctly. TorchShow does the conversion automatically. 2. Visualizing Mask Tensors For projects related to Semantic Segmentation or Instance Segmentation, we often need to visualize mask tensors -- ei...
Too many people ask about how to display the plot in Juno (or think it doesn't work). I agree there is a difference making the plot and displaying the plot. However, this difference will matter to users as they become more familiar with ...
As a side note you can shorten these statements a bit by using the following import command import matplotlib.pyplot as plt rather than matplotlib as plt. solution 3 plt.show(block=True) it works for me but you need click to show next image ...