Update README.md

project/minimal_examples/README.md

@@ -24,13 +24,16 @@ pip install -r requirements.txt
 
 ## `extract_features.py`
 
+The script `extract_features.py` extracts the RGB values from an example image ([`figures/examples_from_dataset/banana.jpg`](../figures/examples_from_dataset/banana.jpg)).
+
 ### 💻  Usage
 ```bash
 python extract_features.py
 ```
 
 ### 📊 Outputs
-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:
+
+Each run of the script will 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
@@ -38,13 +41,15 @@ This will extract the RGB values from the image [`figures/examples_from_dataset/
 
 ## `apply_filters.py`
 
+The script `apply_filters.py` applies several filters to an example image ([`figures/examples_from_dataset/banana.jpg`](../figures/examples_from_dataset/banana.jpg)).
+
 ### 💻  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/):
+Each run of the script will 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
 - `baanan-sobel.jpg` :arrow_right: contains the image with applied Sobel filter