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1 files changed, 7 insertions, 7 deletions
diff --git a/README.md b/README.md
index c78f415..d6b887d 100644
--- a/README.md
+++ b/README.md
@@ -143,32 +143,32 @@ cd opencv-face-detection
``` bash
python -m venv .venv
```
-4. Activate the virtual environment.
+5. Activate the virtual environment.
``` bash
source .venv/bin/activate
```
-5. Install the required Python packages using the "requirements.txt" file.
+6. Install the required Python packages using the "requirements.txt" file.
``` bash
pip install -r requirements.txt
```
-*Note!* Picamera2 is recommended to install using apt. Hence, till it's stable version is not released it won't be included in requirements.txt. Read more [here](https://pypi.org/project/picamera2/)
+**Note!** Picamera2 is recommended to install using apt. Hence, till it's stable version is not released it won't be included in requirements.txt. Read more [here](https://pypi.org/project/picamera2/)
Use the following command to install Picamera2
``` bash
sudo apt install -y python3-picamera2
```
-6. Change to the parent directory of opencv-face-recognition.
+7. Change to the parent directory of opencv-face-recognition.
``` bash
cd ..
```
-7. Run the "CamTest.py" script.
+8. Run the "CamTest.py" script.
``` bash
python CamTest.py
```
Once the script starts running, it will use the Camera Module to show the captured frames.
-8. Press 'Esc' or 'q' to quit the script.
-Press Escape key or qto stop the script when you are done.
+9. Press 'Esc' or 'q' to quit the script.
+Press Escape key or q to stop the script when you are done.
## 6. Install dependencies and test the LCD1602 LCD Display with I2C