This will extract the RGB values from the image [`figures/examples_from_dataset/banana.jpg`](../figures/examples_from_dataset/banana.jpg) and create the following files:
-`features-banana.txt` :arrow_right: contains the features (RGB values) of the image
-`features-banana-flattened.txt` :arrow_right: contains the flattened features (RGB values) of the image
-`features-banana-resized.txt`:arrow_right: contains the features (RGB values) of the banana image after resizing it to 50x50 pixels
-`features-banana-resized-flattened.txt`:arrow_right: contains the flattened features (RGB values) of the banana image after resizing it to 50x50 pixels
## 💻 `apply_filters.py`
## `apply_filters.py`
### 💻 Usage
```bash
python apply_filters.py
```
### 📊 Outputs
This will apply the following filters to the image [`figures/examples_from_dataset/banana.jpg`](../figures/examples_from_dataset/banana.jpg) and create the following files in the folder [`figures/examples_from_dataset/`](../figures/examples_from_dataset/):
-`banana-edges.jpg` :arrow_right: contains the image with applied Canny edge detection filter