def run():
image_root_path = Path("resources/ocr/images")
json_root_path = Path("resources/ocr/json")
for image_path, json_path in zip(image_root_path.glob("*"),
json_root_path.glob("document_*.json")):
print(image_path, json_path)
with open(str(json_path), "r") as f:
_json = json.load(f)
response = json_format.Parse(json.dumps(_json),
types.AnnotateImageResponse())
image = Image.open(image_path)
bounds, confidences = get_document_bounds(response,
feature=FeatureType(5),
use_confidence=True)
new_image = draw_boxes(image, bounds, 'yellow', confidences)
filename = "symbol_{}.jpg".format(image_path.stem)
new_image.save(filename)
def main():
args = get_arguments()
json_file_path = Path(args.json_path)
image_file_path = Path(args.image_path)
ts = FeatureType(args.text_structure)
with open(json_file_path, "r")as f:
_json = json.load(f)
# parse json
response = json_format.Parse(json.dumps(_json),
types.AnnotateImageResponse())
image = Image.open(image_file_path)
bounds, confidences = get_document_bounds(response,
feature=ts, use_confidence=True)
# bounds = get_bounds(response)
new_image = draw_boxes(image, bounds, 'yellow', confidences)
new_image.save("result.jpg")
def get_faces(self, image_data):
cache_key = self.get_cache_key_for_image(image_data)
if (self.cache_provider):
res = self.cache_provider.get(cache_key)
if (res):
print(res)
cached_faces = types.AnnotateImageResponse()
cached_faces.ParseFromString(res)
return cached_faces.face_annotations
image = types.Image(content=image_data)
response = self.vision_client.face_detection(image=image)
faces = response.face_annotations
if (self.cache_provider):
self.cache_provider.set(cache_key, response.SerializeToString())
return faces
# In[50]:
# Save response to file
f = open('b.txt', 'w')
f.write(text_format.MessageToString(response))
f.close()
# In[49]:
# Read response file
f = open('b.txt', 'r')
resp = types.AnnotateImageResponse() # replace with your own message
text_format.Parse(f.read(), resp)
f.close()
# In[76]:
# In[79]:
def string_to_face(data):
cached_faces = types.AnnotateImageResponse()
cached_faces.ParseFromString(data)
return cached_faces.face_annotations