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)
