from diffgram import Project
project = Project(project_string_id="replace_with_project_string",
client_id="replace_with_client_id",
client_secret="replace_with_client_secret")
# Replace with your brain name, or leave blank to get latest
# Must set local flag to True
brain = project.get_model(name=None, local=True)
# Local, replace with yoru path
path = "A:/Sync/work/20190311_200900.jpg"
inference = brain.predict_from_local(path)
instance = inference.instance_list[0]
print(instance.location)
print(instance.score)
print(instance.label)
from diffgram import Project
project = Project(project_string_id="replace_with_project_string",
client_id="replace_with_client_id",
client_secret="replace_with_client_secret")
brain = project.get_model(name="my_model")
brain.check_status()
print(brain.status)
Example of predicting locally from webcam
-> using two different brains
-> displays results live using matplotlib
-> saves images to directory for review
"""
project = Project(client_id=settings.CLIENT_ID,
client_secret=settings.CLIENT_SECRET,
project_string_id=settings.PROJECT_STRING_ID,
debug=False)
page_brain = project.get_model(name="page", local=True)
graphs_brain = project.get_model(name="graphs_three", local=True)
SAVE_IMAGES = True
# TODO optional to use temp directory
#temp = tempfile.mkdtemp()
#directory = temp + "/" + str(time.time()) + "/"
directory = str(time.time())
if not os.path.exists(directory):
os.makedirs(directory)
cap = cv2.VideoCapture(0)