# convert the source file PNG format file mode from RGBA to RGB and return a new Image object. # define the source and the target image file path.
Python pil image convert code#
So you can change the source code to the below to avoid the error, just need to add one line convert code to convert the PNG image mode from RGBA to RGB.mode: refers to the image mode to be converted to.The most critical parameter is the mode, and other parameters need not be concerned.This function provides multiple arguments, such as mode, matrix, dither, and so on. The Image class provides the convert() method to convert Image modes.Therefore, if you want to achieve the conversion of image format, you need to convert PNG into three-channel RGB mode.PNG is a 4-channel RGBA mode that is red, green, blue, and Alpha transparent color and JPG is a three-channel RGB mode.The error is caused by the inconsistency between PNG and JPG image modes.Raise OSError(f"cannot write mode as JPEG") from e The above exception was the direct cause of the following exception:įile "D:\Work\-example-code\PythonExampleProject\com\dev2qa\example\code_learner_dot_com_example\pillow_example.py", line 94, in įile "D:\Work\-example-code\PythonExampleProject\com\dev2qa\example\code_learner_dot_com_example\pillow_example.py", line 88, in pillow_save_method_exampleįile "C:\Users\Jerry\anaconda3\Lib\site-packages\PIL\Image.py", line 2151, in saveįile "C:\Users\Jerry\anaconda3\Lib\site-packages\PIL\JpegImagePlugin.py", line 613, in _save Traceback (most recent call last):įile "C:\Users\Jerry\anaconda3\Lib\site-packages\PIL\JpegImagePlugin.py", line 611, in _save The following errors will occur when you use the save() method directly.For example, if you save a PNG format image to a JPG format file like the below source code.Not all image formats can be converted with the save() method.Pillow_save_method_example() 1.2 save() + convert(). # save the source image to the target image file, the target image file is a. # open the source image file with the pillow image class. # define the source image file path, the source image file is a. In the below example, I use the pillow module’s Image class’s save() method to convert the source.format: specify the format of the image, this parameter is optional.fp: the saved path of the picture, including the name of the picture, and the value is in string format.The syntax for the save() method is as follows.If the image format is specified, the image is stored in the specified format. When no file format is specified, it will store the image in the default image format. The save() method is used to save images.We will introduce them one by one with examples.Pillow provides 2 methods ( save() & convert() ) for us to convert between different image formats.
Pillow Provided Methods To Convert Image Formats.
Finally, we convert the array into the image using the omarray() function.1. Then, we convert the elements to the int format using the np.uint8() method. We then apply the colormap to the image_array and multiply it by 255 again. So, we divide the image_array by 255 for normalization. In the below example, I use the pillow module’s Image class’s save () method to convert. format: specify the format of the image, this parameter is optional. Image.save (fp, formatNone) fp: the saved path of the picture, including the name of the picture, and the value is in string format. The maximum value of the element in image_array is 255 in the above example. The syntax for the save () method is as follows. To apply a colormap to an image, we first normalize the array with a max value of 1. It applies the plasma colormap from the Matplotlib package. Image = omarray(np.uint8(cm.plasma(image_array)*255)) Convert a NumPy Array to PIL Image Python With the Matplotlib Colormap import numpy as np Here, we create a NumPy array of size 400x400 with random numbers ranging from 0 to 255 and then convert the array to an Image object using the omarray() function and display the image using show() method. import numpy as npĪrray = np.random.randint(255, size=(400, 400),dtype=np.uint8) We use the omarray() function to convert the array back to the PIL image object and finally display the image object using the show() method. We then convert this image object to a NumPy array using the numpy.array() method. It will read the image lena.png in the current working directory using the open() method from the Image and return an image object.
Python pil image convert download#
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