The first step is to set Axios, a promise-based HTTP client for the browser and Node.js, that will allow you to call Eden AI API.
Next, you'll need to initialize the File System module in order to access local files on your computer.
Finally, you'll need to create your multipart/formdata parameters form:
You are now ready to process your video files into Eden AI Object Tracking API.
To perform Object Tracking in videos, you just need to create an account on Eden AI for free. On the homepage, you will be able to get your API key with free credits offered by Eden AI.
Once the parameters values are passed, you can configure your request:
Then, you need to create launchJob() function that will execute POST request:
Finally, you have to create the getJob() function that will execute GET request with the Job ID of your POST request:
You will first get this response:
Once the request is done (status : finished), you will be able to get the result for Object Tracking task:
Using Video Object Tracking with Eden AI API is quick and easy.
We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specificic features of each provider.
The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.
With Eden AI you have the possibility to integrate a third party platform: we can quickly develop connectors. To go further and customize your Video Object Tracking request with specific parameters, check out our documentation.