Reputation: 1572
I need to recognize image with Google Vision API. Among the examples, they use following construction:
with io.open('test.png', 'rb') as image_file:
content = image_file.read()
image = vision.types.Image(content=content)
I need to do similar, but my image comes from:
content = cv2.imread()
Which returns numpy array, not bytes. I tried:
content = content.tobytes()
Which converts array to bytes, but returns different bytes apparently, since it gives different result.
So how to make my image array similar to one which I get by open()
function
Upvotes: 27
Views: 40725
Reputation: 23012
You simply need to encode the array in the same format as the image, and then use tobytes()
if you want it in the same format.
>>> import cv2
>>> with open('image.png', 'rb') as image_file:
... content1 = image_file.read()
...
>>> image = cv2.imread('image.png')
>>> success, encoded_image = cv2.imencode('.png', image)
>>> content2 = encoded_image.tobytes()
>>> content1 == content2
True
Upvotes: 55