Normalize line endings and whitespace

samples/python2/peopledetect.py

@@ -1,56 +1,56 @@
-import numpy as np
-import cv2
-
-help_message = '''
-USAGE: peopledetect.py <image_names> ...
-
-Press any key to continue, ESC to stop. 
-'''
-
-def inside(r, q):
-    rx, ry, rw, rh = r
-    qx, qy, qw, qh = q
-    return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
-
-def draw_detections(img, rects, thickness = 1):
-    for x, y, w, h in rects:
-        # the HOG detector returns slightly larger rectangles than the real objects.
-        # so we slightly shrink the rectangles to get a nicer output.
-        pad_w, pad_h = int(0.15*w), int(0.05*h)
-        cv2.rectangle(img, (x+pad_w, y+pad_h), (x+w-pad_w, y+h-pad_h), (0, 255, 0), thickness)
-
-
-if __name__ == '__main__':
-    import sys
-    from glob import glob
-    import itertools as it
-
-    print help_message
-
-    hog = cv2.HOGDescriptor()
-    hog.setSVMDetector( cv2.HOGDescriptor_getDefaultPeopleDetector() )
-
-    for fn in it.chain(*map(glob, sys.argv[1:])):
-        print fn, ' - ',
-        try: 
-            img = cv2.imread(fn)
-        except:
-            print 'loading error'
-            continue
-
-        found, w = hog.detectMultiScale(img, winStride=(8,8), padding=(32,32), scale=1.05)
-        found_filtered = []
-        for ri, r in enumerate(found):
-            for qi, q in enumerate(found):
-                if ri != qi and inside(r, q):
-                    break
-            else:
-                found_filtered.append(r)
-        draw_detections(img, found)
-        draw_detections(img, found_filtered, 3)
-        print '%d (%d) found' % (len(found_filtered), len(found))
-        cv2.imshow('img', img)
-        ch = 0xFF & cv2.waitKey()
-        if ch == 27:
-            break
-    cv2.destroyAllWindows() 			
+import numpy as np
+import cv2
+
+help_message = '''
+USAGE: peopledetect.py <image_names> ...
+
+Press any key to continue, ESC to stop.
+'''
+
+def inside(r, q):
+    rx, ry, rw, rh = r
+    qx, qy, qw, qh = q
+    return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
+
+def draw_detections(img, rects, thickness = 1):
+    for x, y, w, h in rects:
+        # the HOG detector returns slightly larger rectangles than the real objects.
+        # so we slightly shrink the rectangles to get a nicer output.
+        pad_w, pad_h = int(0.15*w), int(0.05*h)
+        cv2.rectangle(img, (x+pad_w, y+pad_h), (x+w-pad_w, y+h-pad_h), (0, 255, 0), thickness)
+
+
+if __name__ == '__main__':
+    import sys
+    from glob import glob
+    import itertools as it
+
+    print help_message
+
+    hog = cv2.HOGDescriptor()
+    hog.setSVMDetector( cv2.HOGDescriptor_getDefaultPeopleDetector() )
+
+    for fn in it.chain(*map(glob, sys.argv[1:])):
+        print fn, ' - ',
+        try:
+            img = cv2.imread(fn)
+        except:
+            print 'loading error'
+            continue
+
+        found, w = hog.detectMultiScale(img, winStride=(8,8), padding=(32,32), scale=1.05)
+        found_filtered = []
+        for ri, r in enumerate(found):
+            for qi, q in enumerate(found):
+                if ri != qi and inside(r, q):
+                    break
+            else:
+                found_filtered.append(r)
+        draw_detections(img, found)
+        draw_detections(img, found_filtered, 3)
+        print '%d (%d) found' % (len(found_filtered), len(found))
+        cv2.imshow('img', img)
+        ch = 0xFF & cv2.waitKey()
+        if ch == 27:
+            break
+    cv2.destroyAllWindows()