criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03),\r
derivLambda = 0.0 ) \r
\r
-feature_params = dict( maxCorners = 500, \r
+feature_params = dict( maxCorners = 1000, \r
qualityLevel = 0.1,\r
minDistance = 5,\r
blockSize = 5 )\r
try: video_src = sys.argv[1]\r
except: video_src = video.presets['chess']\r
\r
+ cv2.namedWindow('img', 0)\r
+\r
track_len = 4\r
tracks = []\r
cam = video.create_capture(video_src)\r
tr.append((x, y))\r
if len(tr) > 10:\r
del tr[0]\r
- cv2.circle(vis, (x, y), 2, (0, 255, 0), -2)\r
+ cv2.circle(vis, (x, y), 2, (0, 255, 0), -1)\r
cv2.polylines(vis, [np.int32(tr) for tr in tracks], False, (0, 255, 0))\r
draw_str(vis, (20, 20), ['new', 'old'][old_mode]+' mode')\r
draw_str(vis, (20, 40), 'time: %.02f ms' % (dt*1000))\r
--- /dev/null
+import numpy as np\r
+import cv2, cv\r
+import video\r
+from common import nothing, clock, draw_str\r
+\r
+MHI_DURATION = 1.0\r
+DEFAULT_THRESHOLD = 16\r
+MAX_TIME_DELTA = 0.5\r
+MIN_TIME_DELTA = 0.05\r
+\r
+\r
+if __name__ == '__main__':\r
+ import sys\r
+ try: video_src = sys.argv[1]\r
+ except: video_src = 'synth:class=chess:bg=../cpp/lena.jpg:noise=0.01'\r
+\r
+ cv2.namedWindow('motempl')\r
+ visuals = ['input', 'frame_diff', 'motion_hist', 'grad_orient']\r
+ cv2.createTrackbar('visual', 'motempl', 2, len(visuals)-1, nothing)\r
+ cv2.createTrackbar('threshold', 'motempl', DEFAULT_THRESHOLD, 255, nothing)\r
+\r
+ cam = video.create_capture(video_src)\r
+ ret, frame = cam.read()\r
+ h, w = frame.shape[:2]\r
+ prev_frame = frame.copy()\r
+ motion_history = np.zeros((h, w), np.float32)\r
+ hsv = np.zeros((h, w, 3), np.uint8)\r
+ hsv[:,:,1] = 255\r
+ while True:\r
+ ret, frame = cam.read()\r
+ frame_diff = cv2.absdiff(frame, prev_frame)\r
+ gray_diff = cv2.cvtColor(frame_diff, cv.CV_BGR2GRAY)\r
+ thrs = cv2.getTrackbarPos('threshold', 'motempl')\r
+ ret, motion_mask = cv2.threshold(gray_diff, thrs, 255, cv2.THRESH_BINARY)\r
+ timestamp = clock()\r
+ cv2.updateMotionHistory(motion_mask, motion_history, timestamp, MHI_DURATION)\r
+ mg_mask, mg_orient = cv2.calcMotionGradient( motion_history, MAX_TIME_DELTA, MIN_TIME_DELTA, apertureSize=5 );\r
+\r
+ visual_name = visuals[cv2.getTrackbarPos('visual', 'motempl')]\r
+ if visual_name == 'input':\r
+ vis = frame.copy()\r
+ elif visual_name == 'frame_diff':\r
+ vis = frame_diff.copy()\r
+ elif visual_name == 'motion_hist':\r
+ vis = np.uint8(np.clip((motion_history-(timestamp-MHI_DURATION)) / MHI_DURATION, 0, 1)*255)\r
+ vis = cv2.cvtColor(vis, cv.CV_GRAY2BGR)\r
+ elif visual_name == 'grad_orient':\r
+ hsv[:,:,0] = mg_orient/2\r
+ hsv[:,:,2] = mg_mask*255\r
+ vis = cv2.cvtColor(hsv, cv.CV_HSV2BGR)\r
+ draw_str(vis, (20, 20), visual_name)\r
+ cv2.imshow('motempl', vis)\r
+\r
+ prev_frame = frame.copy()\r
+ if cv2.waitKey(5) == 27:\r
+ break
\ No newline at end of file