I want to create a PIL image from a NumPy array. Here is my attempt: # Create a NumPy array, which has four elements. The top-left should be pure# red, the top-right should be pure blue, the bottom-left should be pure green,# and the bottom-right should be yellow.pixels = np....
import numpy as np from PIL import Image im_source = Image.open('./assets/img2array.jpg') #应该修改成你的image保存的路径 im_ar = np.array(im_source) np.save('./assets/imgdata.npy',im_ar) #同样要修改为你保存数据文件的目录 im_ar.shape 1. 2. 3. 4. 5. 6. 7. 8. 9. 10....
img.flags.writeable=True # 将数组改为读写模式 2. array转换成image 代码语言:javascript 代码运行次数:0 复制 Cloud Studio代码运行 Image.fromarray(np.uint8(img)) 参考资料:
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numpy_array与PIL.Image之间的互转 # conding:utf-8 importmatplotlib.pyplot as plt importnumpy as np importPIL.Image as image # 图片的读取 data=image.open(r'a.png') # 转成numpy.array类型 data_array=np.array(data) #由numpy.array转成PIL.Image图片类型...
display(Image.fromarray(M)) 1、缩小图像 def reduce_image_size_by_n(image, n): # Get theheightandwidthof theimageheight,width, channels =image.shape # Reduce theheightandwidthby n new_height =height// n new_width =width// n # Create anewarrayto store the reducedimagedownsampled_image...
numpy_array与PIL.Image之间的互转 # conding:utf-8 importmatplotlib.pyplot as plt importnumpy as np importPIL.Image as image # 图片的读取 data=image.open(r'a.png') # 转成numpy.array类型 data_array=np.array(data) #由numpy.array转成PIL.Image图片类型...
#UsePILto access image datafromPILimportImage img=Image.open('monalisa.jpg')#Create array from image dataM=np.array(img)#Display array from image datadisplay(Image.fromarray(M)) 1、缩小图像 代码语言:javascript 代码运行次数:0 复制 Cloud Studio代码运行 ...
1. PIL image转换成array img = np.asarray(image) 或 img=np.array(image) 需要注意的是,如果出现read-only错误,并不是转换的错误,一般是你读取的图片的时候,默认选择的是"r","rb"模式有关。 修正的办法: 手动修改图片的读取状态 img.flags.writeable = True # 将数组改为读写模式 或者 im = Image....
#Use PIL to access image data from PIL import Image img = Image.open('monalisa.jpg') #Create array from image data M = np.array(img) #Display array from image data display(Image.fromarray(M)) 1、缩小图像 def reduce_image_size_by_n(image, n): ...