# realtime_object_recognition

**Repository Path**: adam1iu/realtime_object_recognition

## Basic Information

- **Project Name**: realtime_object_recognition
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-03
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Realtime Obejct Recognition

Realtime object recognition using the OpenCV 3.3 dnn module + pretrained MobileNetSSD caffemodel.

[![Realtime object recognition](https://img.youtube.com/vi/LGUR4Rn_kWs/0.jpg)](https://www.youtube.com/watch?v=LGUR4Rn_kWs)

## Installation
All the dependencies can be installed using `pip`. Just use the following command from the root directory of the project.
```bash
pip3 install -r requirements.txt
```

**NOTE:** At the time of this writing, `public.py` is broken. If you have a problem installing it, check this [workaround here](https://github.com/C-Aniruddh/realtime_object_recognition/issues/1).

## How to run this script?
There are two options for video source:

 * Webcam
 * Android device running IP Camera (https://play.google.com/store/apps/details?id=com.pas.webcam&hl=en)

To run the script using webcam as source :

```bash
python3 real_time_object_detection.py --prototxt MobileNetSSD_deploy.prototxt.txt --model MobileNetSSD_deploy.caffemodel --source webcam
```

To run the script using IP Webcam as source, open the `real_time_object_detection.py` and edit the following line to match your host :

```python
host = 'http://192.168.0.101:8080/'
```

Then to run the script using IP as source :

```bash
python3 real_time_object_detection.py --prototxt MobileNetSSD_deploy.prototxt.txt --model MobileNetSSD_deploy.caffemodel --source web
```

For any questions, create an issue in this repository.