Three methods to convert an image path to a NumPy array:
<ol>
<li>Use OpenCV
<pre><code># OpenCV
import cv2
img = cv2.imread(image_path) # reads an image in the BGR format
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) # BGR -&gt; RGB
</code></pre></li>
<li>Use Matplotlib
<pre><code># Use Matplotlib
from matplotlib.image import imread
img = imread(image_path)
</code></pre></li>
<li>Use PIL
<pre><code>from PIL import Image
img = Image.open(image_path)
img = np.array(img)
</code></pre></li>
</ol>
The result below:
<img src="https://cdn.hashnode.com/res/hashnode/image/upload/v1615480325295/NTbwKqZgQ.png" alt="image.png" />

Three methods to convert an image path to a NumPy array:

1. Use **OpenCV**
```
# OpenCV
import cv2
img = cv2.imread(image_path)   # reads an image in the BGR format
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)   # BGR -> RGB
``` 

2. Use **Matplotlib**
```
# Use Matplotlib
from matplotlib.image import imread
img = imread(image_path)
```

3. Use **PIL**
```
from PIL import Image
img = Image.open(image_path)
img = np.array(img)
```

The result below:


![image.png](https://cdn.hashnode.com/res/hashnode/image/upload/v1615480325295/NTbwKqZgQ.png)


How to read Image from Path and Convert to a NumPy Array in Python.