having a lot of difficulty with numpy here, i am very new at numpy. i have used these codes:
pixelpoints = cv2.findNonZero(mask)
this returns a np.ndarray object that looks like this:
[[1288 700]]
[[1289 700]]
[[1290 700]]
[[1291 700]]
[[1287 701]]
[[1288 701]]
[[1289 701]]
[[1290 701]]
[[1291 701]]
[[1292 701]]
as you can see the first number of these pairs repeat quite often. in example, 1290 repeats at 700 and 701. i have a million of pairs like this in a np.ndarray object. Question: how do i find the minimum for a given first entry? let me elucidate my question. suppose for the first entry 1290, there are more than five hundred ordered pairs. how do i find the pair that has the least value for 1290 and max value for 1290? is there anyway to break this np.ndarray into simple arrays so that i can use max / min functions?
