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