#PYTHON COLOR PALETTE FROM IMAGE INSTALL#
#PYTHON COLOR PALETTE FROM IMAGE CODE#

Get color by name > import webcolors > webcolors. Example > import webcolors > webcolors.rgb_to_hex((255, 255, 255)) u'#ffffff' Get the HEX color value from image from resizeimage import resizeimage from PIL import Image import webcolors from colorthief import ColorThief image_path = './dog.jpeg' new_max_width = 1800 new_filename = './dog-1800.jpeg' image_colors = with open(image_path, 'r+b') as f: with Image.open(f) as image: # Resize smaller_image = resizeimage.resize_width(image, max_width) smaller_image.save(new_image_path, image.format) # Get Colors color_thief = ColorThief(new_image_path) color_palette = color_thief.get_palette(color_count=10, quality=10) for color in color_palette: print(webcolors.rgb_to_hex(color))Ĭolor_palette = returns an array tuples of RGB values then, webcolors.rgb_to_hex converts each tuple in to a hex value. With the same open(image_path, ‘r+b’) using ColorThief a palette of colors are found. A quick way to get the current height and width plus other metadata. Pillow is the ultimate package for dealing with an image.

#PYTHON COLOR PALETTE FROM IMAGE CODE#

If you run the code above you just resized an image. image.format re-saves the image as the correct type (dog.jpeg is saved back as a jpeg). The PIL package stands for “Pillow” and is installed with “python-resize-image”. Your image needs to be open as bytes and readable. The height is auto-calculated based on width keeping the ratio.

Your image needs to be open as bytes and readable.

#PYTHON COLOR PALETTE FROM IMAGE INSTALL#

So how do you resize images with Python?ĭependencies - webcolor: - python-resize-image: - colorthief Install Dependencies pip3 install webcolors python-resize-image colorthief Resize Image from resizeimage import resizeimage from PIL import Image image_path = './dog.jpeg' new_max_width = 1800 new_filename = './dog-1800.jpeg' with open(image_path, 'r+b') as f: with Image.open(f) as image: # Resize smaller_image = resizeimage.resize_width(image, new_max_width) smaller_image.save(new_filename, image.format) Displaying these images on the front-end is asking for a terrible page load. Users are uploading 10MB images to your website from their DLSR camera. Let’s say you were building a website that’s similar to Unsplash. When dealing with images I found Python to be easier to use compared to NodeJS and PHP. Writing functions are intuitive and so is reading the code itself. Python is by far one of the easiest programming languages to use.

Python color palette from image