def TrackGarbage(im, up, down, left, right, max_index, s):
counter = 2
start = 2
New_Template, Template_XY = im[up:down, left:right], (up, left)
# save given Garbage
cv2.imwrite(GARBAGE_PATH + str(1 + max_index) + ".jpg", New_Template)
# Track loop
while New_Template.shape[0] <= MAX_SIZE:
im = s.getNext()
if counter > start + 50:
f, arr = matplotlib.pyplot.subplots(1, 1)
arr.imshow(im, cmap='gray') #, interpolation='nearest')
matplotlib.pyplot.show()
print("up, down, left, right in that order")
up = int(input())
down = int(input())
left = int(input())
right = int(input())
New_Template, Template_XY = im[up:down, left:right], (up, left)
cv2.imwrite(GARBAGE_PATH + str(counter + max_index) + ".jpg",
New_Template)
start = counter
else:
New_Template, Template_XY = Tracking.Track(im, New_Template,
Template_XY)
cv2.imwrite(GARBAGE_PATH + str(counter + max_index) + ".jpg",
New_Template)
counter += 1
cooAr = getNewImageCoo(refPt)
#these are just the lines from 'g', copied. saves the firest image
save_twenty_random(cooAr, image)
diff = [0, 0]
template = image[cooAr[0][Y]:cooAr[1][Y], cooAr[0][X]:cooAr[1][X]]
xy = (cooAr[0][Y], cooAr[0][X])
base = pictures.index(pictureName)
counter = 1
#saves the picture so it will be possible to return to it
oldImage = clone.copy()
while True:
#reads the next image in the list
image = cv2.imread(path + "/" + pictures[base + counter])
clone = image.copy()
#delegates to tracking
useless, xy, template, diff = Tracking.Track(
image, template, xy, diff)
#clones so the rectangle will not be saved
imClone = image[:].copy()
cv2.rectangle(
imClone, (xy[1], xy[0]),
(xy[1] + template.shape[1], xy[0] + template.shape[0]),
(0, 255, 0), 2)
cv2.imshow("image", imClone)
key = cv2.waitKey(100) & 0xFF
#stops the process and returns to the first image, to choose new stoplight
if key == ord('s'):
image = oldImage
cv2.imshow("image", image)
break
#pauses the process to let the user decide on new borders
elif key == ord('p'):
