From d3c18a0f0498524861edaa0415c9605dfe7a5d6c Mon Sep 17 00:00:00 2001
From: igraf <igraf@cl.uni-heidelberg.de>
Date: Fri, 23 Feb 2024 15:04:54 +0000
Subject: [PATCH] Update README.md

---
 project/minimal_examples/README.md | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/project/minimal_examples/README.md b/project/minimal_examples/README.md
index 627c8ff..5207370 100644
--- a/project/minimal_examples/README.md
+++ b/project/minimal_examples/README.md
@@ -22,24 +22,28 @@ source venv/bin/activate
 pip install -r requirements.txt
 ```
 
-## 💻  Usage: `extract_features.py`
+## `extract_features.py`
 
+### 💻  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:
 - `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
-- 
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