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https://github.com/jalajthanaki/real_time_object_detection

This repository contains the code for real-time object detection. I'm using video stream coming from webcam. MobileNet-SSD and OpenCv has been used as base-line approach. TensorFlow object detection API has been used in revised approach.
https://github.com/jalajthanaki/real_time_object_detection

computer-vision deep-learning objectdetection opencv real-time-object-detection

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This repository contains the code for real-time object detection. I'm using video stream coming from webcam. MobileNet-SSD and OpenCv has been used as base-line approach. TensorFlow object detection API has been used in revised approach.

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# Real time object detection

## Overview
This repository contains the code for real time object detection.

There is two approach given here.
1. Base line or basic approach
2. revised approach

## Dependencies and installation
For base line approach there are following libraries which are needed.

* imutils: `$ sudo pip install imutils`
* Install computervision or CV2 from [here](https://www.pyimagesearch.com/2015/06/22/install-opencv-3-0-and-python-2-7-on-ubuntu/)
* time - default library of python
* numpy - `$ sudo pip install numpy`

For revised approach there are following libraries which are needed.

* os - default library of python
* Install computervision or CV2 from [here](https://www.pyimagesearch.com/2015/06/22/install-opencv-3-0-and-python-2-7-on-ubuntu/)
* time - default library of python
* argparse - default library of python
* multiprocessing - default library of python
* numpy `$ sudo pip install numpy`
* tensorflow - You can refer [this link](https://www.tensorflow.org/install/install_linux)

## Usage

#### Run base line approach using following execution steps.
```
1. Go to the base_line_model folder.
$ cd ./base_line_model
2. To run the script execute following command.
$ python object_detection_app.py

```

#### Run revised approach using following execution steps.

```
1. Go to the revised_approach folder.
$ cd ./revised_approach
2. To run the script execute following command.
$ python real_time_object_detection.py --prototxt MobileNetSSD_deploy.prototxt.txt --model MobileNetSSD_deploy.caffemodel

```

## Credit

The credit of this code goes to [Dat Tran](https://github.com/datitran) and the blogs provided on [Pyimagesearch site](https://www.pyimagesearch.com/). I've merely created a wrapper to get people started.