print ST.LM_list.status()
scanned = searchScript.landMarkSearch("SIFT", ST.LM_list.active)
for LM in scanned:
ST.LM_list.scan.append(LM)
if len(ST.LM_list.preload) > 0:
scanned = searchScript.landMarkSearch("SIFT", ST.LM_list.preload)
for LM in scanned:
ST.LM_list.preload.remove(LM)
ST.LM_list.addToActive(LM)
ST.LM_list.scan.append(LM)
totalFound = 0
for LM in ST.LM_list.active:
if LM.seen > 3:
LM.matchThreshold = 0.7
totalFound += 1
if totalFound == len(media.imagesList):
return True
else:
return False
#if script is called directly from terminal, useful for debugging methods
if __name__ == "__main__":
#firstTimeRunning = True
ST.init()
run()
top_left = max_loc
bottom_right = (top_left[0] + w, top_left[1] + h)
#ST.cam.frame = cv2.rectangle(ST.cam.frame,top_left, bottom_right, 255, 2)
x = int((top_left[1] + bottom_right[1]) / 2.0)
y = int((top_left[0] + bottom_right[0]) / 2.0)
keyPts = [[x, y]]
return keyPts
#if script is called directly from terminal, useful for debugging methods
if __name__ == "__main__":
print "This was called from terminal."
ST.init() #initializes global variables and classes
ST.cam.vidSource = cv2.VideoCapture('./media/ForwardMovementID.mp4')
cv2.namedWindow('frame')
cv2.namedWindow('Masks')
initMask = np.zeros(
(600, 600),
dtype=np.uint8) #creating empty matrix, size of video frame
initMask[300:500, 300:500] = 1
template = cv2.imread('./media/Tag16h6.png')
while (1):
ret, ST.cam.frame = ST.cam.vidSource.read() #read
ST.cam.frame = cv2.imread('./media/aprilTagTest.png')
