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Object Detection

This repository uses pre-trained MobileNet-SSD v3 model for Object Detection https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API

The model uses COCO dataset for training https://cocodataset.org/#overview

The COCO dataset consists of 80 classes of images (View all) so the objects detected would belong from one of these classes only.

You can download the test_video from:
https://drive.google.com/file/d/1EPngtG-X4NCOoadeo1Fk556Yhejuvp5C/view?usp=sharing
or you can use any video of your choice

Required Libraries

pip install opencv-python

Usage

This repository has 2 files:
1. detection_code_image.py
2. detection_code_video.py

Image

Change the 'your image path' in detection_code_image.py at line:23 to the path of your image to detect objects in your Image

Example Input Image:

Example Output Image:

Video

Change the 'your image path' in detection_code_video.py at line: 21 to the path of your video to detect objects in your Video

Example Input Video:

Example Output Video:

About

This repo uses pre-trained SSD MobileNet V3 model to detect objects belonging to 80 different classes in images and videos

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