https://github.com/lucs1590/image_challenge
This is a repository to test my skills with image processing, image recognition and artificial intelligence.
https://github.com/lucs1590/image_challenge
artificial-intelligence dlib-face-detection face-detection gdal image image-challenge image-processing image-recognition mtcnn-face-detection remote-sensing
Last synced: 3 months ago
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This is a repository to test my skills with image processing, image recognition and artificial intelligence.
- Host: GitHub
- URL: https://github.com/lucs1590/image_challenge
- Owner: Lucs1590
- Created: 2021-03-02T01:06:09.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-09-04T02:47:06.000Z (almost 2 years ago)
- Last Synced: 2025-03-06T17:21:29.999Z (over 1 year ago)
- Topics: artificial-intelligence, dlib-face-detection, face-detection, gdal, image, image-challenge, image-processing, image-recognition, mtcnn-face-detection, remote-sensing
- Language: Jupyter Notebook
- Homepage:
- Size: 26.8 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Image challenge
This is a repository to test my skills with image processing, image recognition and artificial intelligence.
# Installation of prerequisites
```bash
pip install -r requirements.txt
```
# How to run?
To execute exercise 1, simply run the following code in the terminal:
```bash
python src/exercise1.py
```
And to execute exercise 2:
```bash
python src/exercise2.py
```
# Tests
To check the test question, run:
```bash
python -m unittest discover tests/
```
# Documentation
To read the documentation for exercise 1 or 2, in the ```src``` folder, you can execute, respectively:
```bash
python -m pydoc src/exercise1.py
```
```bash
python -m pydoc src/exercise2.py
```
Or, to view in browser:
```bash
python -m pydoc -b
```