Bertha Hu
- Github: Berthskies
- E-mail: [email protected]
Sung Woo Park
- Github: ggomaeng
- E-mail: [email protected]
Baekchun Kim
- Github: baekchun
- E-mail: [email protected]
-
Use python3, OpenCV and numpy to read stool image and color balance the image, emulating Photoshop's "auto levels" command
-
Use python3, OpenCV and numpy to produce a new stool image to mark the red pixels and mask the remaining non-red pixels
-
Compare the original image with the masked image
-
Calendar implemented
-
Drawer menu implemented
-
Signup, login, logout working
-
Implemented k-means clustering to find the most dominant colors in the image