使用 Google Cloud Vision 进行图像分类 API

Question

I have a Flask app in which a user uploads a file and then I make a request to google cloud vision API to classify it.我有一个 Flask 应用程序，用户在其中上传文件，然后我向 google cloud vision API 发出请求以对其进行分类。

I'm doing the following:我正在做以下事情：

@app.route('/cloud_vision', methods=['POST'])
def cloud_vision():
    files = flask.request.files.getlist('files')

    client = vision.ImageAnnotatorClient()

    if len(files) > 1 or files[0].filename != '':
        for file in files:
            with io.open(file, 'rb') as image_file:
                content = image_file.read()
            image = vision.Image(content=content)
            response = client.label_detection(image=image)
            labels = response.label_annotations
            (...)

But im getting this error TypeError: expected str, bytes or os.PathLike object, not FileStorage when opening the file.但我收到此错误TypeError: expected str, bytes or os.PathLike object, not FileStorage打开文件时。 How can I correct this?我该如何纠正这个问题？

Answer 1

Please note that I'm not familiar with flask but to resolve your issue you should use file.filename in io.open() .请注意，我不熟悉 flask但要解决您的问题，您应该在file.filename io.open()中使用 file.filename。 I used the sample code in this article to be able to use getlist() .我使用本文中的示例代码来使用getlist() 。 See code below:请参阅下面的代码：

app.py应用程序.py

from flask import Flask, render_template, request, redirect, url_for
from google.cloud import vision
import io

app = Flask(__name__)

@app.route('/')
def index():
    return render_template('index.html')

@app.route('/', methods=['POST'])
def upload_file():
    client = vision.ImageAnnotatorClient()

    files = request.files.getlist('file')

    if len(files) > 1 or files[0].filename != '':
        for file in files:
            file.save(file.filename) # I add saving for testing

            with io.open(file.filename, 'rb') as image_file: # use file.filename
                content = image_file.read() 

            image = vision.Image(content=content)
            response = client.label_detection(image=image)
            labels = response.label_annotations

    return str(labels)

if __name__==('__main__'):
    app.run(debug=True)

index.html index.html

<!doctype html>
<html>
  <head>
    <title>File Upload</title>
  </head>
  <body>
    <h1>File Upload</h1>
    <form method="POST" action="" enctype="multipart/form-data">
      <p><input type="file" name="file"></p>
      <p><input type="submit" value="Submit"></p>
    </form>
  </body>
</html>

Testing (image used is seen here ):测试（使用的图像见此处）：

After submitting the image, I returned the response on the webpage.提交图片后，我在网页上返回了响应。

Output after submitting the image: Output 提交图片后：

使用 Google Cloud Vision 进行图像分类 API

问题描述

1 个解决方案

解决方案1
1 2022-04-25 03:28:43

使用 Google Cloud Vision 进行图像分类 API

问题描述

1 个解决方案

解决方案1 1 2022-04-25 03:28:43

解决方案1
1 2022-04-25 03:28:43