You can use the Pillow library to convert a numpy array to an image. First, ensure the array values are in the range [0, 255] and then use the fromarray function.
The Python Imaging Library (PIL) adds support for opening, manipulating, and saving many different image file formats in a variety of modes. It can also be used to convert numpy arrays to images.
This article discusses how to convert a numpy array into an image using the Pillow library and matplotlib. It covers the steps to ensure the array values are in the correct range for image conversion.
Creates an image from a numpy array. The mode of the new image is determined by the type of the array or the mode argument. The array must have a size that corresponds to the mode.
This documentation provides examples of how to convert between numpy arrays and PIL images. It covers the use of the fromarray function from the Pillow library.
Numpy arrays can be saved as images using the Pillow library. Ensure that the array values are in the range [0, 255] and then use the save function from the Image class.
Matplotlib provides functions to convert numpy arrays to images. The imshow function can be used to display the array as an image.
This video tutorial demonstrates how to convert a numpy array to an image using Python. It covers the use of the Pillow library and matplotlib for image conversion.