diff --git a/samples/python2/common.py b/samples/python2/common.py index e5eefd4526..636ef6986c 100644 --- a/samples/python2/common.py +++ b/samples/python2/common.py @@ -109,3 +109,9 @@ def make_cmap(name, n=256): ch = np.interp(xs, xp, yp) channels.append(ch) return np.uint8(np.array(channels).T*255) + +def nothing(*arg, **kw): + pass + +def clock(): + return cv2.getTickCount() / cv2.getTickFrequency() \ No newline at end of file diff --git a/samples/python2/lk_track.py b/samples/python2/lk_track.py index 65346de409..9987f26f34 100644 --- a/samples/python2/lk_track.py +++ b/samples/python2/lk_track.py @@ -20,7 +20,7 @@ lk_params = dict( winSize = (3, 3), criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03), derivLambda = 0.0 ) -feature_params = dict( maxCorners = 500, +feature_params = dict( maxCorners = 1000, qualityLevel = 0.1, minDistance = 5, blockSize = 5 ) @@ -42,6 +42,8 @@ def main(): try: video_src = sys.argv[1] except: video_src = video.presets['chess'] + cv2.namedWindow('img', 0) + track_len = 4 tracks = [] cam = video.create_capture(video_src) @@ -63,7 +65,7 @@ def main(): tr.append((x, y)) if len(tr) > 10: del tr[0] - cv2.circle(vis, (x, y), 2, (0, 255, 0), -2) + cv2.circle(vis, (x, y), 2, (0, 255, 0), -1) cv2.polylines(vis, [np.int32(tr) for tr in tracks], False, (0, 255, 0)) draw_str(vis, (20, 20), ['new', 'old'][old_mode]+' mode') draw_str(vis, (20, 40), 'time: %.02f ms' % (dt*1000)) diff --git a/samples/python2/motempl.py b/samples/python2/motempl.py new file mode 100644 index 0000000000..f867b2e738 --- /dev/null +++ b/samples/python2/motempl.py @@ -0,0 +1,56 @@ +import numpy as np +import cv2, cv +import video +from common import nothing, clock, draw_str + +MHI_DURATION = 1.0 +DEFAULT_THRESHOLD = 16 +MAX_TIME_DELTA = 0.5 +MIN_TIME_DELTA = 0.05 + + +if __name__ == '__main__': + import sys + try: video_src = sys.argv[1] + except: video_src = 'synth:class=chess:bg=../cpp/lena.jpg:noise=0.01' + + cv2.namedWindow('motempl') + visuals = ['input', 'frame_diff', 'motion_hist', 'grad_orient'] + cv2.createTrackbar('visual', 'motempl', 2, len(visuals)-1, nothing) + cv2.createTrackbar('threshold', 'motempl', DEFAULT_THRESHOLD, 255, nothing) + + cam = video.create_capture(video_src) + ret, frame = cam.read() + h, w = frame.shape[:2] + prev_frame = frame.copy() + motion_history = np.zeros((h, w), np.float32) + hsv = np.zeros((h, w, 3), np.uint8) + hsv[:,:,1] = 255 + while True: + ret, frame = cam.read() + frame_diff = cv2.absdiff(frame, prev_frame) + gray_diff = cv2.cvtColor(frame_diff, cv.CV_BGR2GRAY) + thrs = cv2.getTrackbarPos('threshold', 'motempl') + ret, motion_mask = cv2.threshold(gray_diff, thrs, 255, cv2.THRESH_BINARY) + timestamp = clock() + cv2.updateMotionHistory(motion_mask, motion_history, timestamp, MHI_DURATION) + mg_mask, mg_orient = cv2.calcMotionGradient( motion_history, MAX_TIME_DELTA, MIN_TIME_DELTA, apertureSize=5 ); + + visual_name = visuals[cv2.getTrackbarPos('visual', 'motempl')] + if visual_name == 'input': + vis = frame.copy() + elif visual_name == 'frame_diff': + vis = frame_diff.copy() + elif visual_name == 'motion_hist': + vis = np.uint8(np.clip((motion_history-(timestamp-MHI_DURATION)) / MHI_DURATION, 0, 1)*255) + vis = cv2.cvtColor(vis, cv.CV_GRAY2BGR) + elif visual_name == 'grad_orient': + hsv[:,:,0] = mg_orient/2 + hsv[:,:,2] = mg_mask*255 + vis = cv2.cvtColor(hsv, cv.CV_HSV2BGR) + draw_str(vis, (20, 20), visual_name) + cv2.imshow('motempl', vis) + + prev_frame = frame.copy() + if cv2.waitKey(5) == 27: + break \ No newline at end of file