Normalize line endings and whitespace

samples/python2/calibrate.py

@@ -1,58 +1,58 @@
-import numpy as np
-import cv2
-import os
-from common import splitfn
-
-USAGE = '''
-USAGE: calib.py [--save <filename>] [--debug <output path>] [--square_size] [<image mask>] 
-'''
-
-
-
-if __name__ == '__main__':
-    import sys, getopt
-    from glob import glob
-
-    args, img_mask = getopt.getopt(sys.argv[1:], '', ['save=', 'debug=', 'square_size='])
-    args = dict(args)
-    try: img_mask = img_mask[0]
-    except: img_mask = '../cpp/left*.jpg'
-    img_names = glob(img_mask)
-    debug_dir = args.get('--debug')
-    square_size = float(args.get('--square_size', 1.0))
-
-    pattern_size = (9, 6)
-    pattern_points = np.zeros( (np.prod(pattern_size), 3), np.float32 )
-    pattern_points[:,:2] = np.indices(pattern_size).T.reshape(-1, 2)
-    pattern_points *= square_size
-
-    obj_points = []
-    img_points = []
-    h, w = 0, 0
-    for fn in img_names:
-        print 'processing %s...' % fn,
-        img = cv2.imread(fn, 0)
-        h, w = img.shape[:2]
-        found, corners = cv2.findChessboardCorners(img, pattern_size)
-        if found:
-            term = ( cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_COUNT, 30, 0.1 )
-            cv2.cornerSubPix(img, corners, (5, 5), (-1, -1), term)
-        if debug_dir:
-            vis = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
-            cv2.drawChessboardCorners(vis, pattern_size, corners, found)
-            path, name, ext = splitfn(fn)
-            cv2.imwrite('%s/%s_chess.bmp' % (debug_dir, name), vis)
-        if not found:
-            print 'chessboard not found'
-            continue
-        img_points.append(corners.reshape(-1, 2))
-        obj_points.append(pattern_points)
-        
-        print 'ok'
-
-    rms, camera_matrix, dist_coefs, rvecs, tvecs = cv2.calibrateCamera(obj_points, img_points, (w, h))
-    print "RMS:", rms
-    print "camera matrix:\n", camera_matrix
-    print "distortion coefficients: ", dist_coefs.ravel()
-    cv2.destroyAllWindows() 			
-
+import numpy as np
+import cv2
+import os
+from common import splitfn
+
+USAGE = '''
+USAGE: calib.py [--save <filename>] [--debug <output path>] [--square_size] [<image mask>]
+'''
+
+
+
+if __name__ == '__main__':
+    import sys, getopt
+    from glob import glob
+
+    args, img_mask = getopt.getopt(sys.argv[1:], '', ['save=', 'debug=', 'square_size='])
+    args = dict(args)
+    try: img_mask = img_mask[0]
+    except: img_mask = '../cpp/left*.jpg'
+    img_names = glob(img_mask)
+    debug_dir = args.get('--debug')
+    square_size = float(args.get('--square_size', 1.0))
+
+    pattern_size = (9, 6)
+    pattern_points = np.zeros( (np.prod(pattern_size), 3), np.float32 )
+    pattern_points[:,:2] = np.indices(pattern_size).T.reshape(-1, 2)
+    pattern_points *= square_size
+
+    obj_points = []
+    img_points = []
+    h, w = 0, 0
+    for fn in img_names:
+        print 'processing %s...' % fn,
+        img = cv2.imread(fn, 0)
+        h, w = img.shape[:2]
+        found, corners = cv2.findChessboardCorners(img, pattern_size)
+        if found:
+            term = ( cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_COUNT, 30, 0.1 )
+            cv2.cornerSubPix(img, corners, (5, 5), (-1, -1), term)
+        if debug_dir:
+            vis = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
+            cv2.drawChessboardCorners(vis, pattern_size, corners, found)
+            path, name, ext = splitfn(fn)
+            cv2.imwrite('%s/%s_chess.bmp' % (debug_dir, name), vis)
+        if not found:
+            print 'chessboard not found'
+            continue
+        img_points.append(corners.reshape(-1, 2))
+        obj_points.append(pattern_points)
+
+        print 'ok'
+
+    rms, camera_matrix, dist_coefs, rvecs, tvecs = cv2.calibrateCamera(obj_points, img_points, (w, h))
+    print "RMS:", rms
+    print "camera matrix:\n", camera_matrix
+    print "distortion coefficients: ", dist_coefs.ravel()
+    cv2.destroyAllWindows()
+