mirror of
https://github.com/opencv/opencv.git
synced 2024-12-15 01:39:10 +08:00
149 lines
4.6 KiB
Python
149 lines
4.6 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# Python 2/3 compatibility
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from __future__ import print_function
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import numpy as np
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import cv2 as cv
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import argparse
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import sys
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# [get-psnr]
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def getPSNR(I1, I2):
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s1 = cv.absdiff(I1, I2) #|I1 - I2|
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s1 = np.float32(s1) # cannot make a square on 8 bits
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s1 = s1 * s1 # |I1 - I2|^2
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sse = s1.sum() # sum elements per channel
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if sse <= 1e-10: # sum channels
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return 0 # for small values return zero
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else:
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shape = I1.shape
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mse = 1.0 * sse / (shape[0] * shape[1] * shape[2])
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psnr = 10.0 * np.log10((255 * 255) / mse)
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return psnr
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# [get-psnr]
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# [get-mssim]
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def getMSSISM(i1, i2):
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C1 = 6.5025
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C2 = 58.5225
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# INITS
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I1 = np.float32(i1) # cannot calculate on one byte large values
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I2 = np.float32(i2)
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I2_2 = I2 * I2 # I2^2
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I1_2 = I1 * I1 # I1^2
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I1_I2 = I1 * I2 # I1 * I2
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# END INITS
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# PRELIMINARY COMPUTING
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mu1 = cv.GaussianBlur(I1, (11, 11), 1.5)
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mu2 = cv.GaussianBlur(I2, (11, 11), 1.5)
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mu1_2 = mu1 * mu1
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mu2_2 = mu2 * mu2
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mu1_mu2 = mu1 * mu2
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sigma1_2 = cv.GaussianBlur(I1_2, (11, 11), 1.5)
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sigma1_2 -= mu1_2
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sigma2_2 = cv.GaussianBlur(I2_2, (11, 11), 1.5)
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sigma2_2 -= mu2_2
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sigma12 = cv.GaussianBlur(I1_I2, (11, 11), 1.5)
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sigma12 -= mu1_mu2
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t1 = 2 * mu1_mu2 + C1
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t2 = 2 * sigma12 + C2
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t3 = t1 * t2 # t3 = ((2*mu1_mu2 + C1).*(2*sigma12 + C2))
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t1 = mu1_2 + mu2_2 + C1
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t2 = sigma1_2 + sigma2_2 + C2
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t1 = t1 * t2 # t1 =((mu1_2 + mu2_2 + C1).*(sigma1_2 + sigma2_2 + C2))
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ssim_map = cv.divide(t3, t1) # ssim_map = t3./t1;
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mssim = cv.mean(ssim_map) # mssim = average of ssim map
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return mssim
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# [get-mssim]
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("-d", "--delay", type=int, default=30, help=" Time delay")
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parser.add_argument("-v", "--psnrtriggervalue", type=int, default=30, help="PSNR Trigger Value")
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parser.add_argument("-r", "--ref", type=str, default="Megamind.avi", help="Path to reference video")
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parser.add_argument("-t", "--undertest", type=str, default="Megamind_bugy.avi",
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help="Path to the video to be tested")
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args = parser.parse_args()
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sourceReference = args.ref
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sourceCompareWith = args.undertest
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delay = args.delay
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psnrTriggerValue = args.psnrtriggervalue
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framenum = -1 # Frame counter
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captRefrnc = cv.VideoCapture(cv.samples.findFileOrKeep(sourceReference))
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captUndTst = cv.VideoCapture(cv.samples.findFileOrKeep(sourceCompareWith))
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if not captRefrnc.isOpened():
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print("Could not open the reference " + sourceReference)
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sys.exit(-1)
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if not captUndTst.isOpened():
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print("Could not open case test " + sourceCompareWith)
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sys.exit(-1)
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refS = (int(captRefrnc.get(cv.CAP_PROP_FRAME_WIDTH)), int(captRefrnc.get(cv.CAP_PROP_FRAME_HEIGHT)))
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uTSi = (int(captUndTst.get(cv.CAP_PROP_FRAME_WIDTH)), int(captUndTst.get(cv.CAP_PROP_FRAME_HEIGHT)))
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if refS != uTSi:
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print("Inputs have different size!!! Closing.")
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sys.exit(-1)
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WIN_UT = "Under Test"
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WIN_RF = "Reference"
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cv.namedWindow(WIN_RF, cv.WINDOW_AUTOSIZE)
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cv.namedWindow(WIN_UT, cv.WINDOW_AUTOSIZE)
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cv.moveWindow(WIN_RF, 400, 0) #750, 2 (bernat =0)
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cv.moveWindow(WIN_UT, refS[0], 0) #1500, 2
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print("Reference frame resolution: Width={} Height={} of nr#: {}".format(refS[0], refS[1],
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captRefrnc.get(cv.CAP_PROP_FRAME_COUNT)))
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print("PSNR trigger value {}".format(psnrTriggerValue))
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while True: # Show the image captured in the window and repeat
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_, frameReference = captRefrnc.read()
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_, frameUnderTest = captUndTst.read()
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if frameReference is None or frameUnderTest is None:
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print(" < < < Game over! > > > ")
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break
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framenum += 1
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psnrv = getPSNR(frameReference, frameUnderTest)
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print("Frame: {}# {}dB".format(framenum, round(psnrv, 3)), end=" ")
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if (psnrv < psnrTriggerValue and psnrv):
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mssimv = getMSSISM(frameReference, frameUnderTest)
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print("MSSISM: R {}% G {}% B {}%".format(round(mssimv[2] * 100, 2), round(mssimv[1] * 100, 2),
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round(mssimv[0] * 100, 2)), end=" ")
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print()
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cv.imshow(WIN_RF, frameReference)
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cv.imshow(WIN_UT, frameUnderTest)
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k = cv.waitKey(delay)
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if k == 27:
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break
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sys.exit(0)
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if __name__ == "__main__":
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main()
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