work on camshift.py

samples/python2/camshift.py

+import numpy as np
+import cv2
+import video
+
+
+
+class App(object):
+    def __init__(self, video_src):
+        self.cam = video.create_capture(video_src)
+        ret, self.frame = self.cam.read()
+        cv2.namedWindow('camshift')
+        cv2.setMouseCallback('camshift', self.onmouse)
+
+        self.selection = None
+        self.drag_start = None
+        self.tracking_state = 0
+
+    def onmouse(self, event, x, y, flags, param):
+        x, y = np.int16([x, y]) # BUG
+        if event == cv2.EVENT_LBUTTONDOWN:
+            self.drag_start = (x, y)
+            self.tracking_state = 0
+        if self.drag_start: 
+            if flags & cv2.EVENT_FLAG_LBUTTON:
+                h, w = self.frame.shape[:2]
+                xo, yo = self.drag_start
+                x0, y0 = np.maximum(0, np.minimum([xo, yo], [x, y]))
+                x1, y1 = np.minimum([w, h], np.maximum([xo, yo], [x, y]))
+                self.selection = None
+                if x1-x0 > 0 and y1-y0 > 0:
+                    self.selection = (x0, y0, x1, y1)
+            else:
+                self.drag_start = None
+                if self.selection is not None:
+                    self.tracking_state = 1
+
+    def show_hist(self):
+        bin_count = self.hist.shape[0]
+        bin_w = 24
+        img = np.zeros((256, bin_count*bin_w, 3), np.uint8)
+        for i in xrange(bin_count):
+            h = int(self.hist[i])
+            cv2.rectangle(img, (i*bin_w+2, 255), ((i+1)*bin_w-2, 255-h), (int(180.0*i/bin_count), 255, 255), -1)
+        img = cv2.cvtColor(img, cv2.COLOR_HSV2BGR)
+        cv2.imshow('hist', img)
+
+    def run(self):
+        while True:
+            ret, self.frame = self.cam.read()
+            self.frame = self.frame.copy()
+            
+            hsv = cv2.cvtColor(self.frame, cv2.COLOR_BGR2HSV)
+
+            if self.selection:
+                x0, y0, x1, y1 = self.selection
+                hsv_roi = hsv[y0:y1, x0:x1]
+                hist = cv2.calcHist( [hsv_roi], [0], None, [16], [0, 180] )
+                cv2.normalize(hist, hist, 0, 255, cv2.NORM_MINMAX);
+                self.hist = hist.reshape(-1)
+                self.show_hist()
+                
+                roi = self.frame[y0:y1, x0:x1]
+                cv2.bitwise_not(roi, roi)
+
+            if self.tracking_state == 1:
+                self.selection = None
+                prob = cv2.calcBackProject([hsv], [0], self.hist, [0, 180], 1)
+                term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )
+                print cv2.CamShift(prob, term_crit)
+                #cv2.imshow('back', back)
+                
+                
+            cv2.imshow('camshift', self.frame)
+            if cv2.waitKey(5) == 27:
+                break
+
+
+if __name__ == '__main__':
+    import sys
+    try: video_src = sys.argv[1]
+    except: video_src = video.presets['chess']
+    App(video_src).run()
+