如何将 numpy 数组图像转换为字节? [英] How to turn numpy array image to bytes?

问题描述

我需要使用 Google Vision API 识别图像.在示例中，它们使用以下结构:

with io.open('test.png', 'rb') 作为 image_file:内容 = image_file.read()图像 = vision.types.Image(content=content)

我需要做类似的，但我的图片来自:

content = cv2.imread()

返回 numpy 数组，而不是字节.我试过了:

content = content.tobytes()

将数组转换为字节，但显然返回不同的字节，因为它给出了不同的结果.
那么如何使我的图像数组类似于我通过 open() 函数获得的图像数组

解决方案

你只需要将数组编码成与图像相同的格式，然后然后使用 tobytes()代码>，如果你想要相同的格式.

<预><代码>>>>导入 cv2>>>使用 open('image.png', 'rb') 作为 image_file:... content1 = image_file.read()...>>>image = cv2.imread('image.png')>>>成功，encoded_image = cv2.imencode('.png', image)>>>content2 = encoding_image.tobytes()>>>内容 1 == 内容 2真的

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

解决方案

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

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