我试图通过以下代码从图像中提取JSON：-
E/launcher - Error forwarding the new session cannot find : Capabilities {baseUrl: http://..., browserName: internet explorer, count: 1, specs: [spec/test.js]}
E/launcher - WebDriverError: Error forwarding the new session cannot find : Capabilities {baseUrl: http://..., browserName: internet explorer, count: 1, specs: [spec/test.js]}
从上面的代码中，我只得到JSON格式的响应。
我想获取“页面，页面宽度，页面宽度，段落，行，单词等”。
是否可以获取上述内容（“页面，Page_hieght，Page_width，段落，行，单词”）？
有人知道如何获得这个吗？
注意：-，我只有密钥，没有JSON格式的密钥。我使用此命令运行文件
from base64 import b64encode
from os import makedirs
from os.path import join, basename
from sys import argv
import json
import requests
ENDPOINT_URL = 'https://vision.googleapis.com/v1/images:annotate'
RESULTS_DIR = 'jsons'
makedirs(RESULTS_DIR, exist_ok=True)
def make_image_data_list(image_filenames):
"""
image_filenames is a list of filename strings
Returns a list of dicts formatted as the Vision API
needs them to be
"""
img_requests = []
for imgname in image_filenames:
with open(imgname, 'rb') as f:
ctxt = b64encode(f.read()).decode()
img_requests.append({
'image': {'content': ctxt},
'features': [{
'type': 'TEXT_DETECTION',
'maxResults': 1
}]
})
return img_requests
def make_image_data(image_filenames):
"""Returns the image data lists as bytes"""
imgdict = make_image_data_list(image_filenames)
return json.dumps({"requests": imgdict }).encode()
def request_ocr(api_key, image_filenames):
response = requests.post(ENDPOINT_URL,
data=make_image_data(image_filenames),
params={'key': api_key},
headers={'Content-Type': 'application/json'})
return response
if __name__ == '__main__':
api_key, *image_filenames = argv[1:]
if not api_key or not image_filenames:
print("""
Please supply an api key, then one or more image filenames
$ python cloudvisreq.py api_key image1.jpg image2.png""")
else:
response = request_ocr(api_key, image_filenames)
if response.status_code != 200 or response.json().get('error'):
print(response.text)
else:
for idx, resp in enumerate(response.json()['responses']):
# save to JSON file
imgname = image_filenames[idx]
jpath = join(RESULTS_DIR, basename(imgname) + '.json')
with open(jpath, 'w') as f:
datatxt = json.dumps(resp, indent=2)
print("Wrote", len(datatxt), "bytes to", jpath)
f.write(datatxt)
# print the plaintext to screen for convenience
print("---------------------------------------------")
t = resp['textAnnotations'][0]
print(" Bounding Polygon:")
print(t['boundingPoly'])
print(" Text:")
print(t['description'])