real time object detection opencv python github
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In this tutorial, we'll explore how to perform real-time object detection using OpenCV in Python. We'll utilize a pre-trained deep learning model for object detection and implement it with the help of a GitHub repository. For this tutorial, we'll use the "ssd_mobilenet_v3" model, but you can choose other models as well based on your requirements.
Python installed on your machine (https://www.python.org/downloads/).
Install required packages:
We'll use the GitHub repository that provides pre-trained models and utility functions for real-time object detection using OpenCV. Clone the repository to your local machine:
Navigate to the following path in the repository:
Choose a pre-trained model from the "text" folder. In this example, we'll use the "ssd_mobilenet_v3_coco.pbtxt" and "ssd_mobilenet_v3_coco.pb" files. You can find other models in the "text" folder as well.
Create a new Python script, for example, real_time_object_detection.py, and implement the real-time object detection code using OpenCV.
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