https://github.com/adamouization/computer-vision-filtering-and-object-recognition-and-features

:eyes: Image matching using intensity-based and feature-based template matching (SIFT) algorithms.
https://github.com/adamouization/computer-vision-filtering-and-object-recognition-and-features

algorithms computer-vision convolution cv image-matching matching opencv python recognition sift sift-algorithm sift-descriptors

Last synced: 5 days ago
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:eyes: Image matching using intensity-based and feature-based template matching (SIFT) algorithms.

• Host: GitHub
• URL: https://github.com/adamouization/computer-vision-filtering-and-object-recognition-and-features
• Owner: Adamouization
• License: lgpl-3.0
• Created: 2019-02-07T15:43:54.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2022-06-21T21:48:49.000Z (over 2 years ago)
• Last Synced: 2024-05-27T22:14:59.104Z (6 months ago)
• Topics: algorithms, computer-vision, convolution, cv, image-matching, matching, opencv, python, recognition, sift, sift-algorithm, sift-descriptors
• Language: Python
• Homepage:
• Size: 4.15 MB
• Stars: 2
• Watchers: 4
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Computer Vision: Filtering, Object Recognition & Features [![HitCount](http://hits.dwyl.com/Adamouization/Computer-Vision-Filtering-and-Object-Recognition-and-Features.svg)](http://hits.dwyl.com/Adamouization/Computer-Vision-Filtering-and-Object-Recognition-and-Features) [![GitHub stars](https://img.shields.io/github/stars/Adamouization/Computer-Vision-Filtering-and-Object-Recognition-and-Features)](https://github.com/Adamouization/Computer-Vision-Filtering-and-Object-Recognition-and-Features/stargazers) [![GitHub license](https://img.shields.io/github/license/Adamouization/Computer-Vision-Filtering-and-Object-Recognition-and-Features)](https://github.com/Adamouization/Computer-Vision-Filtering-and-Object-Recognition-and-Features/blob/master/LICENSE)

**Intensity-based** template matching and **feature-based** template matching using **SIFT** algorithms for matching images are implemented. A [Training dataset](https://github.com/Adamouization/Computer-Vision-Filtering-and-Object-Recognition-and-Features/tree/master/dataset/Training) of images (icons) a [Testing dataset](https://github.com/Adamouization/Computer-Vision-Filtering-and-Object-Recognition-and-Features/tree/master/dataset/Test) (various combinations of icons) as shown in Figure 2 are used.

Project developed in collaboration with [yissok](https://github.com/yissok).

The report can be read [here](https://github.com/Adamouization/Computer-Vision-Filtering-and-Object-Recognition-and-Features/blob/master/report/report.pdf).

## Usage

Clone the repository (or download the zipped project):

`$ git clone https://github.com/Adamouization/Computer-Vision-Filtering-and-Object-Recognition-and-Features`

Create a virtual environment for the project and activate it:

```

virtualenv ~/Environments/Computer-Vision-Filtering-and-Object-Recognition-and-Features

source Computer-Vision-Filtering-and-Object-Recognition-and-Features/bin/activate

```

Once you have the virtualenv activated and set up, `cd` into the project directory and install the requirements needed to run the app:

```

pip install -r requirements.txt

```

You can now run the app:

```

python main.py -m  --mode  --debug

```

where:

* `-m ` corresponds to the matching technique to use e.g. `convolution`, `intensity` or `sift`.

* `--mode ` corresponds to `train` or `test`.

* `--d` runs the program in debug mode with additional print statements.

## Contact

* Email: [email protected]

* LinkedIn: [@adamjaamour](https://www.linkedin.com/in/adamjaamour/)