2020-07-19 15:08:29 -0600 | received badge | ● Famous Question (source) |
2019-02-27 00:29:14 -0600 | received badge | ● Notable Question (source) |
2018-07-14 04:59:14 -0600 | received badge | ● Popular Question (source) |
2017-01-01 00:25:04 -0600 | commented answer | How to detect a perfect black image? I'm getting an error error: C:\builds\master_PackSlaveAddon-win32-vc12-static\opencv\modules\core\src\stat.cpp:1297: error: (-215) cn == 1 in function cv::countNonZero |
2016-12-31 22:42:50 -0600 | received badge | ● Supporter (source) |
2016-12-31 08:25:30 -0600 | asked a question | How to detect a perfect black image? Hi, This is my first post in this forum. I've written a color detection program for detecting Magenta color(only). But now I want to print a text when the magenta color is not present.Which means I want to detect a perfect black image for that.How can I do that? import cv2 import numpy as np cap = cv2.VideoCapture(0) while(1): Take each frame cv2.destroyAllWindows() |