Computer vision is a major subfield of AI that is using visual input data to enable computers for understanding the surrounding and physical world.
Ikomia is an API that was developed to simplify the developments or deployments of computer vision-based solutions. It enables effortless integration of state-of-the-art algorithms from multiple sources, such as OpenCV, Detectron2, OpenMMLab, and YOLO, into your projects. With Ikomia, testing and training of advanced algorithms can be done with just a little and simple codes lines.
Ikomia API helps to build powerful and efficient computer vision-based applications without worrying about the complexities of managing dependencies and integrating different frameworks. The API handles the download, installation and management of the selected algorithms, enabling the creation of customized solutions with minimal coding effort.
Here are some key features of Ikomia API:
- cross-platform
- easy for using the API
- regular and consistent updates
- open-source architecture
- automatic dependency management
You can visit this link for full IKOMIA API documentation on GitHub.
also here is ikomia’s official page.
for install the API on your computer, run following command on the terminal:
pip install ikomiaIkomia can be used in several tasks including:
- algorithm selection
- data loading
- training
- testing
- workflow
- deployment
Ikomia API can be used for multple object tracking by using it with deep-sort algorithm. During next article, we are going to discuss about building a simple algorithmic model for multiple people tracking in real time.