Video Object Detection or Label Detection API uses advanced Computer Vision algorithms to analyze videos and automatically assign labels or tags to various visual elements present in the video, including scenes, activities or concepts. The API extracts meaningful information from the video, which can be exploited for numerous applications such as automatic video categorization, video summary creation, caption generation, and so forth.
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 file into Eden AI Video Object Detection API.
To perform Video Object Detection in videos, you'll need to create an account on Eden AI for free. Then, you will be able to get your API key directly from the homepage with free credits offered by Eden AI.
For example, we called two different Video Object Detection engines. 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 Detection task:
Using Video Object Detection 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 specific 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 Detection request with specific parameters, check out our documentation.