def test_vision_analysis_by_image_url(self):
api = pyoxford.vision(envs.FILE_PATH)
result = api.analyze("https://oxfordportal.blob.core.windows.net/vision/Analysis/4.jpg")
self.assertTrue(result.request_id)
self.assertTrue(result.adult.isRacyContent)
for c in result.categories:
print(c.name)
def test_vision_analysis_by_image_url(self):
api = pyoxford.vision(envs.FILE_PATH)
result = api.analyze(
"https://oxfordportal.blob.core.windows.net/vision/Analysis/4.jpg")
self.assertTrue(result.request_id)
self.assertTrue(result.adult.isRacyContent)
for c in result.categories:
print(c.name)
def test_vision_analysis_by_image(self):
api = pyoxford.vision(envs.FILE_PATH)
path = os.path.join(os.path.dirname(__file__), "./data/test_image.jpg")
with open(path, "rb") as f:
image = f.read()
result = api.analyze(image)
self.assertTrue(result.request_id)
self.assertEqual("jpeg", result.metadata.format.lower())
def test_vision_ocr(self):
api = pyoxford.vision(envs.FILE_PATH)
result = api.ocr("https://oxfordportal.blob.core.windows.net/vision/OpticalCharacterRecognition/1.jpg")
self.assertTrue(result.language)
self.assertTrue(len(result.regions) > 0)
d = result.to_document()
for p in d:
print("\n".join(p))
def test_vision_analysis_by_image(self):
api = pyoxford.vision(envs.FILE_PATH)
path = os.path.join(os.path.dirname(__file__), "./data/test_image.jpg")
with open(path, "rb") as f:
image = f.read()
result = api.analyze(image)
self.assertTrue(result.request_id)
self.assertEqual("jpeg", result.metadata.format.lower())
def test_vision_ocr(self):
api = pyoxford.vision(envs.FILE_PATH)
result = api.ocr(
"https://oxfordportal.blob.core.windows.net/vision/OpticalCharacterRecognition/1.jpg"
)
self.assertTrue(result.language)
self.assertTrue(len(result.regions) > 0)
d = result.to_document()
for p in d:
print("\n".join(p))
import pyoxford
api = pyoxford.vision("33b6b29738f340a298a376556fe77a4b")
#result = api.ocr("https://oxfordportal.blob.core.windows.net/vision/OpticalCharacterRecognition/1.jpg")
#result =api.ocr("https://www.realpython.com/images/blog_images/ocr/ocr.jpg")
#result = api.ocr("https://www.realpython.com/images/blog_images/ocr/sample1.jpg")
#result = api.ocr("https://www.realpython.com/images/blog_images/ocr/sample2.jpg")
#result = api.ocr("https://www.realpython.com/images/blog_images/ocr/sample3.jpg")
#result = api.ocr("https://www.realpython.com/images/blog_images/ocr/sample4.jpg")
result = api.ocr(
"https://www.realpython.com/images/blog_images/ocr/sample5.jpg")
doc = result.to_document()
for par in doc:
print("\n".join(par))
import pyoxford
data = open('m.jpg', 'rb').read()
api = pyoxford.vision("86a815e8435e43339f254b8c6b6de2f9")
#result = api.ocr("https://oxfordportal.blob.core.windows.net/vision/OpticalCharacterRecognition/1.jpg")
result = api.ocr(data)
doc = result.to_document()
for par in doc:
print("\n".join(par))
