update python samples

modules/stereo/samples/sample_quasi_dense.py

@@ -4,7 +4,7 @@ import cv2 as cv
 left_img = cv.imread(cv.samples.findFile("aloeL.jpg"), cv.IMREAD_COLOR)
 right_img = cv.imread(cv.samples.findFile("aloeR.jpg"), cv.IMREAD_COLOR)
 
-frame_size = leftImg.shape[0:2];
+frame_size = left_img.shape[0:2];
 
 stereo = cv.stereo.QuasiDenseStereo_create(frame_size[::-1])
 stereo.process(left_img, right_img)

modules/tracking/samples/multitracker.py

@@ -10,7 +10,7 @@ print('Select 3 tracking targets')
 
 cv.namedWindow("tracking")
 camera = cv.VideoCapture(sys.argv[1])
-tracker = cv.MultiTracker_create()
+tracker = cv.legacy.MultiTracker_create()
 init_once = False
 
 ok, image=camera.read()
@@ -25,17 +25,17 @@ bbox3 = cv.selectROI('tracking', image)
 while camera.isOpened():
     ok, image=camera.read()
     if not ok:
-        print 'no image to read'
+        print('no image to read')
         break
 
     if not init_once:
-        ok = tracker.add(cv.TrackerMIL_create(), image, bbox1)
-        ok = tracker.add(cv.TrackerMIL_create(), image, bbox2)
-        ok = tracker.add(cv.TrackerMIL_create(), image, bbox3)
+        ok = tracker.add(cv.legacy.TrackerMIL_create(), image, bbox1)
+        ok = tracker.add(cv.legacy.TrackerMIL_create(), image, bbox2)
+        ok = tracker.add(cv.legacy.TrackerMIL_create(), image, bbox3)
         init_once = True
 
     ok, boxes = tracker.update(image)
-    print ok, boxes
+    print(ok, boxes)
 
     for newbox in boxes:
         p1 = (int(newbox[0]), int(newbox[1]))

modules/tracking/samples/tracker.py

@@ -19,7 +19,7 @@ init_once = False
 while camera.isOpened():
     ok, image=camera.read()
     if not ok:
-        print 'no image to read'
+        print('no image to read')
         break
 
     if not init_once:
@@ -27,7 +27,7 @@ while camera.isOpened():
         init_once = True
 
     ok, newbox = tracker.update(image)
-    print ok, newbox
+    print(ok, newbox)
 
     if ok:
         p1 = (int(newbox[0]), int(newbox[1]))

modules/wechat_qrcode/samples/qrcode.py

@@ -37,7 +37,7 @@ else:
     cap = cv2.VideoCapture(camIdx)
     while True:
         res, img = cap.read()
-        if img.empty():
+        if img is None:
             break
         res, points = detector.detectAndDecode(img)
         for t in res:

modules/ximgproc/samples/dericheSample.py

@@ -28,7 +28,6 @@ class Filtrage:
         self.module = np.sqrt(dx2+dy2)
         cv.normalize(src=self.module,dst=self.module,norm_type=cv.NORM_MINMAX)
     def SlideBarDeriche(self):
-        cv.destroyWindow(self.filename)
         cv.namedWindow(self.filename)
         AddSlider("alpha",self.filename,1,400,self.alpha,self.UpdateAlpha)
         AddSlider("omega",self.filename,1,1000,self.omega,self.UpdateOmega)

modules/ximgproc/samples/radon_transform_demo.py

@@ -7,7 +7,7 @@ import cv2 as cv
 
 if __name__ == "__main__":
     src = cv.imread("peilin_plane.png", cv.IMREAD_GRAYSCALE)
-    radon = cv.ximgproc.RadonTransform(src)
+    radon = cv.ximgproc.RadonTransform(src).astype(np.float32)
     cv.imshow("src image", src)
     cv.imshow("Radon transform", radon)
     cv.waitKey()

samples/python2/seeds.py

@@ -12,15 +12,12 @@ Usage:
 import numpy as np
 import cv2 as cv
 
-# relative module
-import video
-
 # built-in module
 import sys
 
 
 if __name__ == '__main__':
-    print __doc__
+    print(__doc__)
 
     try:
         fn = sys.argv[1]
@@ -41,7 +38,7 @@ if __name__ == '__main__':
     num_levels = 4
     num_histogram_bins = 5
 
-    cap = video.create_capture(fn)
+    cap = cv.VideoCapture(fn)
     while True:
         flag, img = cap.read()
         converted_img = cv.cvtColor(img, cv.COLOR_BGR2HSV)