Last active
February 3, 2021 20:45
-
-
Save kumarvipu1/92d38f0c3a20b6951702d83340aa1190 to your computer and use it in GitHub Desktop.
image classifier part 5
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#importing and processing input image | |
import cv2 | |
img = cv2.imread("sample_img.jpg") #loading input image | |
img = cv2.resize(img, (28, 28), interpolation = cv2.INTER_AREA) #resizing to input shape | |
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #chaging to grayscale format | |
img = cv2.bitwise_not(img) #the color scale was inverted, correcting inverted color scale | |
img = cv2.Canny(img, 50, 50) # removing noise | |
predict_data = np.array([img])/255 #changing image data to array | |
predict_data = predict_data.reshape(1,28, 28, 1) #reshaping to input shape | |
#predicting the input | |
from tensorflow.keras import models | |
model = models.load_model('cnn_digitclass.model') #loading pre-savedd model | |
prediction = model.predict(predict_data) #gives array | |
predicted_number = np.argmax(prediction) #extracts predicted number |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment