Python调整图像大小并发送到谷歌视觉功能 [英] Python resize image and send to google vision function

问题描述

由于Google视觉对输入图像的大小有一些限制，首先调整输入图像的大小，然后使用 detect_labels（）函数。

Since google vision has some restrictions on input image size, I want to first resize input image and then use the detect_labels() function.

这是他们的示例代码

def detect_labels(path):
"""Detects labels in the file."""
vision_client = vision.Client()

with io.open(path, 'rb') as image_file:
    content = image_file.read()

image = vision_client.image(content=content)

labels = image.detect_labels()
print('Labels:')

for label in labels:
    print(label.description)

他们使用 io 打开图像文件。我想知道以这种方式，如何在内存中调整图像大小，然后调用 detect_labels（）吗？

they use io to open the image file. I wonder in this way, how to resize the image in memory and then call detect_labels() ?

推荐答案

您可以通过PIL / Pillow调整图像的大小，然后将其传递给客户端：

You can resize the image via PIL/Pillow and then pass it to the client:

替换

with io.open(path, 'rb') as image_file:
    content = image_file.read()

有

# Warning: untested code, may require some fiddling
import Image, StringIO

img = Image.open(path)
img.thumbnail((512, 512))
buffer = StringIO.StringIO()
img.save(buffer, "PNG")

content = buffer.getvalue()

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