def predict(): with popup("Face Match Classifier"): put_text("Good to see you again") img = file_upload("Select a image:", accept="images/*") put_processbar('bar') for i in range(1, 11): set_processbar('bar', i / 10) time.sleep(0.1) content = img['content'] nparr = np.fromstring(content, np.uint8) img = cv2.imdecode(nparr, cv2.IMREAD_COLOR) pred = helper.main(img) put_text('Predicted Person is : ', pred) # put_markdown(pred) put_image(content)
def predict(): with popup("Plant Pathalogy Prediction"): put_text("Good to see you again, the prediction may take upto 7 sec depending on image resulation. Have patience.") img = file_upload("Select a image:", accept="images/*") put_processbar('bar') for i in range(1, 11): set_processbar('bar', i / 10) time.sleep(0.2) content = img['content'] nparr = np.fromstring(content, np.uint8) img = cv2.imdecode(nparr, cv2.IMREAD_COLOR) pred = helper.main(img,model) put_text('Predicted outcome: ',pred) # put_markdown(pred) put_image(content)
import helper class RuntimeTestCase(helper.RuntimeTests): name = 'node08' init_files = ['package.json'] init_directories = ['test'] create_lock = 'rock run npm shrinkwrap' if __name__ == '__main__': helper.main()
def main(): print("Name: ", __name__) print("Package: ", __package__) print("File: ", __file__) helper.main()
from helper import main from newsbot import main if __name__ == '__main__': main()
def main(): helper.main(sys.argv)