pip install -upgrade "ibm-watson>=4.0.1".Once you have acquired an API key associated with the Visual Recognition service, the next step is to install Watson Developer Cloud using pip: Writing Python Code for Visual Recognition Keep both the values for further coding (represented as IBM API KEY and IBM URL later in the code). Then click on 'Create' to move to the next step.įinally, you will be on the page from where you need to copy the API key and URL. It can be edited as per your wish or can be left unaltered (see the below image). You will reach a page where you have to select the region and configure resources. And it also has a set of built-in models for ease of use. The Visual Recognition service uses deep learning algorithms to analyze images for scenes, objects and other content. There, search for 'visual recognition' (as shown below) and select the first option. This will take you to the IBM Product Catalog page. You need to create a service by clicking on 'Create resource' (as shown in the image below). (We will cover the location element in next blog post).Ĭreating Visual Recognition Service and Acquiring API keyĪfter logging into your IBM Cloud account, you will be on the dashboard page. In this part, you will learn to run image recognition code on your machine and extract the required result from the JSON response. Simply sign up for your free account and generate API key on your account page.įor coding, your machine should have Python installed (I have Python 3.8). ![]() You will also need an API key from the HERE Developer Portal (which we will use in the code). From the created service, you have to acquire the API key for performing operations through the API.
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