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https://github.com/chirag-s-kotian/floor
a simple python program to convert 3d image into floor plan
https://github.com/chirag-s-kotian/floor
Last synced: 6 days ago
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a simple python program to convert 3d image into floor plan
- Host: GitHub
- URL: https://github.com/chirag-s-kotian/floor
- Owner: Chirag-S-Kotian
- Created: 2024-06-01T11:26:06.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-06-01T11:33:27.000Z (8 months ago)
- Last Synced: 2024-12-04T01:09:29.525Z (2 months ago)
- Language: Python
- Size: 71.3 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Image Processing with OpenCV
This Python program processes an image to detect edges and contours using OpenCV and displays the results using Matplotlib.
## Features
- Load an image from a specified path.
- Convert the image to grayscale.
- Apply Gaussian blur to the image.
- Detect edges using the Canny edge detection algorithm.
- Find and draw contours on the image.
- Display the original image, edge-detected image, and contour-drawn image side by side.
## Requirements
- Python 3.x
- OpenCV
- NumPy
- Matplotlib
## Installation
1. Clone this repository or download the script.
2. Install the required libraries using pip:
```bash
pip install opencv-python numpy matplotlib
```
## Usage
1. Place the image you want to process in the same directory as the script or provide the path to the image.
2. Update the `image_path` variable in the `process_image` function call within the `__main__` section to the path of your image file.
3. Run the script:
```bash
python image_processing.py
```
## Code Explanation
### Functions
- `load_image(image_path)`: Loads an image from the specified path.
- `convert_to_grayscale(image)`: Converts the image to grayscale.
- `apply_gaussian_blur(image, kernel_size=(5, 5))`: Applies Gaussian blur to the image.
- `detect_edges(image, low_threshold=50, high_threshold=150)`: Detects edges using the Canny edge detection algorithm.
- `find_contours(image)`: Finds contours in the image.
- `draw_contours(image, contours)`: Draws contours on the image.
- `display_images(images, titles)`: Displays multiple images side by side using Matplotlib.
- `process_image(image_path)`: Processes the image to detect edges and contours and displays the results.
### Example
```python
if __name__ == "__main__":
# Provide the path to the image
image_path = 'image.jpg'
# Process the image
process_image(image_path)
```
In this example, replace `'image.jpg'` with the path to your image file. The script will process the image and display the original image, edge-detected image, and image with contours.
## License
This project is licensed under the MIT License.
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