We can randomize the colors of the lines and shapes. 
```python
color = tuple(map(lambda x: int(x), np.random.randint(0, 255, size = 3)))
```
We use the lambda function above to convert the list of 64 bit integers and turn them into the python atomic integer type, 32 bit. After that, we convert the 32 bit integer list into a tuple, which is usable in openCV line methods.

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Once we are given the numpy array of floating point coordinates for the corners, we would want o convert it from floating points to ints. The ravel method will flatten the array. Flattening an array will remove the interior arrays, [[0,1][2,3]] -> [0,1,2,3].
```python
corners = np.int0(corners)

for corner in corners:
        x,y = corner.ravel()
        cv2,circle(img, (x,y), 5, (255, 0, 0), -1)
```
Remember that if your img file is still in gray scaled the color parameter will not be able to display correctly when drawing the corners.

We can also make these corners more obvious by drawing lines between the corners.
```python
for i in range(len(corners)):
        for j in range(i+1, len(corners)):
                corner1 = tuple(corners[i][0])
                corner2 = tuple(corners[j][0])
                cv2.line(img, corner1, corner2, (255, 0, 0), 1)
```
We will only need the [0] indexing if we don't flatten the array. 

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