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# Introduction to Detection in OpenVINO™ | |
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| <img src="https://user-images.githubusercontent.com/36741649/128489910-316aec49-4892-46f1-9e3c-b9d3646ef278.jpg" width=300> | <img src="https://user-images.githubusercontent.com/36741649/128489933-bf215a3f-06fa-4918-8833-cb0bf9fb1cc7.jpg" width=300> | | |
This notebook demonstrates how to do inference with detection model. | |
## Notebook Contents | |
In this basic introduction to detection with OpenVINO, the [horizontal-text-detection-0001](https://docs.openvino.ai/2024/omz_models_model_horizontal_text_detection_0001.html) model from [Open Model Zoo](https://github.com/openvinotoolkit/open_model_zoo/) is used. It detects text in images and returns blob of data in shape of `[100, 5]`. For each detection, a description is in the `[x_min, y_min, x_max, y_max, conf]` format. | |
## Installation Instructions | |
This is a self-contained example that relies solely on its own code.</br> | |
We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. | |
For details, please refer to [Installation Guide](../../README.md). | |