It should look something like the following. Be patient and wait for your image to process. Instructions: Click 'Upload Photo' button, choose a file then wait for it to upload and process. The response of the request is contained in deepai_res. Tap 'upload photo' button to colorize an image. Image_path = Path("path/to/some/image.jpeg") We are finally ready to send an image to the colorizer API.Īll of the code below will post an image located at “path/to/some/image.jpeg” to the API. Or conda create -n colorizer-env python=3.8 Python Virtual Environments: A Primer) and install it before continuing. ‘requests’, so create a virtual environment ( not built-in) package that is required for this is This file will be imported into Python as a module, makign the DEEPAI_API_KEY available as a variable. Max size: 2. Try to colorize photo now Upload Image Formats. My secrets.py file looks like the following: DEEPAI_API_KEY="put your key here" This photo colorizer can convert black and white to color, enhance face, and correct yellow tint automatically. I put this key into a file called secrets.py and immediately added it to the. You can add colour to your own local photos, a folder of photos, a photo on the Internet using the color command line tool. If you want to experiment with the API first, you can use the demo API key 100e7990-a2b3-4da0-a2ab-281ffd41395c for a few images. The first step to using the API is to get a free API key from DeepAI.Īll you need to do is create an account (there is a “login with GitHub” option that I often like to use for these sorts of applications) and you’ll find your API key on your profile page. Using the Image Colorization API with Python 1. Examplesįor inspiration, here are some examples of the Image Colorization DNN at work. ‘requests’ package to send black-and-white photos and download the colorized results.Įach step is explained in more detail below and a full working Python script is available at the bottom. The first step is to get an API key from DeepAI. For the demonstration a sample of provided black and white photos are colorized and displayed. In this post, I show how easy it is to use DeepAI’s API for this model to color your own images automatically using Python. This MLHub package supports a pre-built model from Yang Liu providing an example of photo colorization using deep neural networks. Image Colorization that adds realistic coloration to old black-and-white photos. ![]() One model that I was particularly interested in using was the DeepAI is a research company that develops a wide variety of deep neural network (DNN) models using the bleeding edge of AI research.
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