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ディスクからテキストを読み取ってテキストファイルに保存するために、ディスクから画像を処理したい場合はどうなりますか。jsonとデータの両方で機能しているため。私はデータだけで仕事をしたい。どうやってするか?

from __future__ import print_function
import time 
import requests
import cv2
import operator
import numpy as np

# Import library to display results
import matplotlib.pyplot as plt
%matplotlib inline 


_url = 'https://api.projectoxford.ai/vision/v1/analyses'
_key = 'd784ea882edd4feaa373dc5a80fa87e8'
_maxNumRetries = 10

def processRequest( json, data, headers, params ):

    """
    Helper function to process the request to Project Oxford

    Parameters:
    json: Used when processing images from its URL. See API Documentation
    data: Used when processing image read from disk. See API Documentation
    headers: Used to pass the key information and the data type request
    """

    retries = 0
    result = None

    while True:

        response = requests.request( 'post', _url, json = json, data = data, headers = headers, params = params )

        if response.status_code == 429: 

            print( "Message: %s" % ( response.json()['error']['message'] ) )

            if retries <= _maxNumRetries: 
                time.sleep(1) 
                retries += 1
                continue
            else: 
                print( 'Error: failed after retrying!' )
                break

        elif response.status_code == 200 or response.status_code == 201:

            if 'content-length' in response.headers and int(response.headers['content-length']) == 0: 
                result = None 
            elif 'content-type' in response.headers and isinstance(response.headers['content-type'], str): 
                if 'application/json' in response.headers['content-type'].lower(): 
                    result = response.json() if response.content else None 
                elif 'image' in response.headers['content-type'].lower(): 
                    result = response.content
        else:
            print( "Error code: %d" % ( response.status_code ) )
            print( "Message: %s" % ( response.json()['error']['message'] ) )

        break

    return result

def renderResultOnImage( result, img ):

    """Display the obtained results onto the input image"""

    R = int(result['color']['accentColor'][:2],16)
    G = int(result['color']['accentColor'][2:4],16)
    B = int(result['color']['accentColor'][4:],16)

    cv2.rectangle( img,(0,0), (img.shape[1], img.shape[0]), color = (R,G,B), thickness = 25 )

    if 'categories' in result:
        categoryName = sorted(result['categories'], key=lambda x: x['score'])[0]['name']
        cv2.putText( img, categoryName, (30,70), cv2.FONT_HERSHEY_SIMPLEX, 2, (255,0,0), 3 )


pathToFileInDisk = r'test.jpg'
with open( pathToFileInDisk, 'rb' ) as f:
    data = f.read()

# Computer Vision parameters
params = { 'visualFeatures' : 'Color,Categories'} 

headers = dict()
headers['Ocp-Apim-Subscription-Key'] = _key
headers['Content-Type'] = 'application/octet-stream'

json = None

result = processRequest( json, data, headers, params )

if result is not None:
    # Load the original image, fetched from the URL
    data8uint = np.fromstring( data, np.uint8 ) # Convert string to an unsigned int array
    img = cv2.cvtColor( cv2.imdecode( data8uint, cv2.IMREAD_COLOR ), cv2.COLOR_BGR2RGB )

    renderResultOnImage( result, img )

    ig, ax = plt.subplots(figsize=(15, 20))
    ax.imshow( img )

%matplot inline で構文エラーが表示されます

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