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main.py
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"""
Webcam Heart Rate Monitor
Gilad Oved
December 2018
"""
import numpy as np
import cv2
import sys
# Helper Methods
def buildGauss(frame, levels):
pyramid = [frame]
for level in range(levels):
frame = cv2.pyrDown(frame)
pyramid.append(frame)
return pyramid
def reconstructFrame(pyramid, index, levels):
filteredFrame = pyramid[index]
for level in range(levels):
filteredFrame = cv2.pyrUp(filteredFrame)
filteredFrame = filteredFrame[:videoHeight, :videoWidth]
return filteredFrame
# Webcam Parameters
webcam = None
if len(sys.argv) == 2:
webcam = cv2.VideoCapture(sys.argv[1])
else:
webcam = cv2.VideoCapture(0)
realWidth = 320
realHeight = 240
videoWidth = 160
videoHeight = 120
videoChannels = 3
videoFrameRate = 15
webcam.set(3, realWidth);
webcam.set(4, realHeight);
# Output Videos
if len(sys.argv) != 2:
originalVideoFilename = "original.mov"
originalVideoWriter = cv2.VideoWriter()
originalVideoWriter.open(originalVideoFilename, cv2.cv.CV_FOURCC('j', 'p', 'e', 'g'), videoFrameRate, (realWidth, realHeight), True)
outputVideoFilename = "output.mov"
outputVideoWriter = cv2.VideoWriter()
outputVideoWriter.open(outputVideoFilename, cv2.cv.CV_FOURCC('j', 'p', 'e', 'g'), videoFrameRate, (realWidth, realHeight), True)
# Color Magnification Parameters
levels = 3
alpha = 170
minFrequency = 1.0
maxFrequency = 2.0
bufferSize = 150
bufferIndex = 0
# Output Display Parameters
font = cv2.FONT_HERSHEY_SIMPLEX
loadingTextLocation = (20, 30)
bpmTextLocation = (videoWidth//2 + 5, 30)
fontScale = 1
fontColor = (255,255,255)
lineType = 2
boxColor = (0, 255, 0)
boxWeight = 3
# Initialize Gaussian Pyramid
firstFrame = np.zeros((videoHeight, videoWidth, videoChannels))
firstGauss = buildGauss(firstFrame, levels+1)[levels]
videoGauss = np.zeros((bufferSize, firstGauss.shape[0], firstGauss.shape[1], videoChannels))
fourierTransformAvg = np.zeros((bufferSize))
# Bandpass Filter for Specified Frequencies
frequencies = (1.0*videoFrameRate) * np.arange(bufferSize) / (1.0*bufferSize)
mask = (frequencies >= minFrequency) & (frequencies <= maxFrequency)
# Heart Rate Calculation Variables
bpmCalculationFrequency = 15
bpmBufferIndex = 0
bpmBufferSize = 10
bpmBuffer = np.zeros((bpmBufferSize))
i = 0
while (True):
ret, frame = webcam.read()
if ret == False:
break
if len(sys.argv) != 2:
originalFrame = frame.copy()
originalVideoWriter.write(originalFrame)
detectionFrame = frame[videoHeight/2:realHeight-videoHeight/2, videoWidth/2:realWidth-videoWidth/2, :]
# Construct Gaussian Pyramid
videoGauss[bufferIndex] = buildGauss(detectionFrame, levels+1)[levels]
fourierTransform = np.fft.fft(videoGauss, axis=0)
# Bandpass Filter
fourierTransform[mask == False] = 0
# Grab a Pulse
if bufferIndex % bpmCalculationFrequency == 0:
i = i + 1
for buf in range(bufferSize):
fourierTransformAvg[buf] = np.real(fourierTransform[buf]).mean()
hz = frequencies[np.argmax(fourierTransformAvg)]
bpm = 60.0 * hz
bpmBuffer[bpmBufferIndex] = bpm
bpmBufferIndex = (bpmBufferIndex + 1) % bpmBufferSize
# Amplify
filtered = np.real(np.fft.ifft(fourierTransform, axis=0))
filtered = filtered * alpha
# Reconstruct Resulting Frame
filteredFrame = reconstructFrame(filtered, bufferIndex, levels)
outputFrame = detectionFrame + filteredFrame
outputFrame = cv2.convertScaleAbs(outputFrame)
bufferIndex = (bufferIndex + 1) % bufferSize
frame[videoHeight/2:realHeight-videoHeight/2, videoWidth/2:realWidth-videoWidth/2, :] = outputFrame
cv2.rectangle(frame, (videoWidth/2 , videoHeight/2), (realWidth-videoWidth/2, realHeight-videoHeight/2), boxColor, boxWeight)
if i > bpmBufferSize:
cv2.putText(frame, "BPM: %d" % bpmBuffer.mean(), bpmTextLocation, font, fontScale, fontColor, lineType)
else:
cv2.putText(frame, "Calculating BPM...", loadingTextLocation, font, fontScale, fontColor, lineType)
outputVideoWriter.write(frame)
if len(sys.argv) != 2:
cv2.imshow("Webcam Heart Rate Monitor", frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
webcam.release()
cv2.destroyAllWindows()
outputVideoWriter.release()
if len(sys.argv) != 2:
originalVideoWriter.release()