lora-irrigation/blinkled/sampledata/t.py

import cv2
import numpy as np
import sys

winname = 'Diff'

def tovalues(values, histo):
	return [ 0 if x < histo[1][1] else 2 if x > histo[1][2] else 1 for x in values ]

def frameiter(fname):
	#vc = cv2.VideoCapture('output.mp4')
	#vc = cv2.VideoCapture('PXL_20220806_231420638.mp4')
	#vc = cv2.VideoCapture('PXL_20220806_231644224.mp4')
	#vc = cv2.VideoCapture('PXL_20220808_233318199.mp4')
	vc = cv2.VideoCapture('PXL_20220809_162724414.mp4')

	while True:
		r, frame = vc.read()
		if not r:
			break

		# base image processing
		frame = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY, 1)

		yield frame

def pixtot(frame):
	colsum = np.sum(frame, 0, np.float64)
	colsum = np.sum(colsum, 0, np.float64)

	return colsum

def numpixels(frame):
	return pixtot(frame) / 255

sumhist = []
cont = False
#cont = True
key = 0

valuehist = []

basefr = None
for frame in frameiter('output.mp4'):
	if basefr is None:
		basefr = frame
		continue

	frdiff = cv2.absdiff(basefr, frame)

	#hist = np.histogram(frdiff, bins=5)
	#print(repr(hist))
	#frdiff = frame - basefr

	#frdiffbin = cv2.threshold(frdiff, 50, 100, cv2.THRESH_BINARY)
	frdiffbin = cv2.compare(frdiff, 50, cv2.CMP_GE)
	kernel = np.ones((4,4), np.uint8)
	frdiffbin = cv2.erode(frdiffbin, kernel, iterations = 2)

	numpix = numpixels(frdiffbin)
	print('np:', repr(numpix))

	if numpix:
		# detected change
		# get average pixel value
		selected = cv2.bitwise_and(frame, frdiffbin)

		avg = pixtot(selected) / numpix
		print('avg:', avg)

		valuehist.append(avg)

		cv2.imshow('selected', selected)
		cv2.moveWindow('Base Frame', 1200, 300)

	if len(valuehist) > 6:
		print(repr(sorted(valuehist)))
		hist = np.histogram(valuehist, bins=3)
		print('hist:', repr(hist))

	#print(repr(frdiffbin))
	#moments = cv2.moments(frdiffbin)
	#((x, y), radius) = cv2.minEnclosingCircle(conts[0][0])
	#x = int(x)
	#y = int(y)
	#radius = int(radius)
	#circ = ((x, y), radius)

	#white = (255,)

	#print(repr(moments))
	#frdiff = cv2.circle(frdiff, circ[0], circ[1], white)
	cv2.imshow('Base Frame', basefr)
	cv2.moveWindow('Base Frame', 300, 300)
	cv2.imshow('Diff', frdiffbin)
	cv2.moveWindow('Diff', 600, 300)
	cv2.imshow('Next Frame', frame)
	cv2.moveWindow('Next Frame', 900, 300)

	# sum up the diffs
	colsum = np.sum(frdiff, 0, np.float64)
	colsum = np.sum(colsum, 0, np.float64)
	colsum = np.sum(colsum, 0, np.float64)
	sumhist.append(colsum)
	print(repr(colsum))

	if not cont:
		key = cv2.waitKey(0)

	if key == ord('q'):
		break
	elif key == ord('c'):
		cont = True

	basefr = frame

print(len(sumhist))
hist = np.histogram(sumhist, bins=5)
print(repr(hist))
print(len(hist))
print(len(hist[1]))

print(repr(valuehist))
hist = np.histogram(valuehist, bins=3)
print(repr(hist))
print(repr(tovalues(valuehist, hist)))