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main_v6.py
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'''
VIDEO MAGIC V6
This version is using a dynamic background from another video stream.
Spacy!
'''
import cv2
import numpy as np
import colour
BACKGROUND_VIDEO = "VideoMagic/space.mp4"
THRESHOLD = 25
BLUR_FACTOR = 40
SHARP_FACTOR = 0.8
SHOW_MIXED = 0
SHOW_CAM = 1
SHOW_BACKGROUND = 2
SHOW_MASK = 3
SHOW_MASK_NOISY = 4
SHOW_MASK_BLURRED = 5
FONT = cv2.FONT_HERSHEY_SIMPLEX
FONT_SCALE = 0.5
FONT_COLOR = (256, 0, 0)
FONT_COLOR_BW = (0, 0, 0)
FONT_THICKNESS = 2
def main(display_mode = SHOW_MIXED, treshold=THRESHOLD, blur_factor=BLUR_FACTOR, sharp_factor=SHARP_FACTOR):
cap = cv2.VideoCapture(0)
cap_background = cv2.VideoCapture(BACKGROUND_VIDEO)
#####################################################################################
# PREPARATION
#####################################################################################
# function to load next background image from video stream and prepare it (esp. scale size)
def get_next_background_image(cap_background, width, height):
_, background_image_new = cap_background.read()
b_height, b_width, _ = background_image_new.shape
scale_width = width/b_width
padding = int((height - (b_height*scale_width))/2)
background_image_new = cv2.resize(background_image_new, (width, int(b_height*scale_width)))
background_image_new = cv2.copyMakeBorder(background_image_new, padding, padding, 0, 0, borderType=cv2.BORDER_CONSTANT, value=0)
return background_image_new
# capture background from cam
while True:
# capture from cam
_, background_image_cam = cap.read()
# place text on image
txt = "GET OUT OF THE SCREEN TO CAPTURE THE BACKGROUND THEN PRESS 'SPACE'"
background_image_cam_display = np.array (background_image_cam)
background_image_cam_display = cv2.putText(background_image_cam_display, txt, (5, 25), FONT, FONT_SCALE, FONT_COLOR)
# display cam image
cv2.imshow('video', background_image_cam_display)
# wait for user input
if cv2.waitKey(1) == ord(' '):
break
height, width, _ = background_image_cam.shape
#####################################################################################
# IMAGE MAGIC
#####################################################################################
while True:
_, cam_image = cap.read()
# calcuate the image_mask = difference between the current cam image and the captured background image of the cam
# Delta-E Color Difference delivers the best quality
# BUT this is the MOST EXPENSIVE OPERATION
image_diff = abs(colour.delta_E(background_image_cam, cam_image))
# thresholding the difference between the two images
f = lambda pix: 1.0 if pix <= treshold else 0.0
vectorized_f = np.vectorize(f)
image_mask_noisy = vectorized_f(image_diff)
# blur the image mask to reduce noise
if blur_factor > 0:
image_mask_blurred = cv2.blur(image_mask_noisy, (blur_factor, blur_factor))
else:
image_mask_blurred = image_mask_noisy
# generate sharper mask from blurred mask
f = lambda pix: 1.0 if pix > sharp_factor else 0.0
vectorized_f = np.vectorize(f)
image_mask = vectorized_f(image_mask_blurred)
#####################################################################################
# DISPLAY MODE
#####################################################################################
if display_mode == SHOW_CAM:
vis = cam_image
elif display_mode == SHOW_MASK:
vis = image_mask
elif display_mode == SHOW_MASK_NOISY:
vis = image_mask_noisy
elif display_mode == SHOW_MASK_BLURRED:
vis = image_mask_blurred
else:
background_image_new = get_next_background_image(cap_background, width, height)
vis = cv2.copyTo(background_image_new, image_mask.astype(cam_image.dtype), cam_image)
# place text on image
font_color = FONT_COLOR
if display_mode == SHOW_MASK or display_mode == SHOW_MASK_BLURRED or display_mode == SHOW_MASK_NOISY:
font_color = FONT_COLOR_BW
txt = "THRESHOLD "+str(treshold)
cv2.putText(vis, txt, (5, 25), FONT, FONT_SCALE, font_color)
txt = "BLUR FACTOR "+str(blur_factor)
cv2.putText(vis, txt, (5, 45), FONT, FONT_SCALE, font_color)
txt = "SHARPNESS "+str(sharp_factor)
cv2.putText(vis, txt, (5, 65), FONT, FONT_SCALE, font_color)
# display modified image
cv2.imshow('video', vis)
#####################################################################################
# COMMANDS
#####################################################################################
k = cv2.waitKey(1)
if k == -1:
continue
elif k == 27: # ESC
break
elif k == ord('+'):
treshold = treshold + 5
elif k == ord('-') and treshold >= 5:
treshold = treshold - 5
elif k == ord('b'):
blur_factor = blur_factor + 5
elif k == ord('n') and blur_factor >= 5:
blur_factor = blur_factor - 5
elif k == ord('d') and sharp_factor <= 0.9:
sharp_factor = sharp_factor + 0.1
elif k == ord('s') and sharp_factor >= 0.1:
sharp_factor = sharp_factor - 0.1
elif k == ord(" "):
display_mode = SHOW_MIXED
elif k == ord("0"):
display_mode = SHOW_CAM
elif k == ord("1"):
display_mode = SHOW_MASK_NOISY
elif k == ord("2"):
display_mode = SHOW_MASK_BLURRED
elif k == ord("3"):
display_mode = SHOW_MASK
else:
print ("Pressed:", k) # else print its value
cap.release()
cv2.destroyAllWindows()
###############################################################
print ('''
HOW-TO
==========================================================
Change display mode:
SPACE: mixed mode
1: noisy image
2: blurred image
3: sharp image mask
0: original cam
----------------------------------------------------------
+/-: threshold
b/n: blur factor
s/d: sharpness
==========================================================
ESC: Quit Video Magic
''')
main()