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-rw-r--r--README.md13
1 files changed, 6 insertions, 7 deletions
diff --git a/README.md b/README.md
index 9560e4f..d9e4a1e 100644
--- a/README.md
+++ b/README.md
@@ -137,7 +137,7 @@ cd opencv-face-detection
3. Change to the face-detection sub-directory.
``` bash
-cd opencv-face-detection
+cd face-detection
```
4. Create a virtual environment named ".venv" for the project.
``` bash
@@ -151,12 +151,12 @@ source .venv/bin/activate
``` 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/)
-Use the following command to install 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
```
-7. Change to the parent directory of opencv-face-recognition.
+7. Change to the parent directory -opencv-face-recognition.
``` bash
cd ..
```
@@ -170,12 +170,11 @@ Once the script starts running, it will use the Camera Module to show the captur
**Output of running CamTest.py script**
-9. Press 'Esc' or 'q' to quit the script.
-Press Escape key or q to stop the script when you are done.
+9. Press 'Escape' key or 'q' key to quit and stop the script when you are done.
## 6. Install dependencies and test the LCD1602 LCD Display with I2C
-1. Install the libraries and i2cctools package
+1. Install the libraries and i2c-tools package
```bash
sudo apt install i2c-tools libi2c-dev
```