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	fix masks
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				| @ -83,7 +83,7 @@ def filtered(obj, objects_to_track, object_filters, mask=None): | |||||||
|         x_location = min(int((obj[2][2]-obj[2][0])/2.0)+obj[2][0], len(mask[0])-1) |         x_location = min(int((obj[2][2]-obj[2][0])/2.0)+obj[2][0], len(mask[0])-1) | ||||||
| 
 | 
 | ||||||
|         # if the object is in a masked location, don't add it to detected objects |         # if the object is in a masked location, don't add it to detected objects | ||||||
|         if (not mask is None) and (mask[y_location][x_location][0] == 0): |         if (not mask is None) and (mask[y_location][x_location] == 0): | ||||||
|             return True |             return True | ||||||
|          |          | ||||||
|     return False |     return False | ||||||
| @ -208,7 +208,7 @@ def track_camera(name, config, frame_queue, frame_shape, detection_queue, detect | |||||||
|         mask = None |         mask = None | ||||||
| 
 | 
 | ||||||
|     if mask is None: |     if mask is None: | ||||||
|         mask = np.zeros((frame_shape[0], frame_shape[1], 1), np.uint8) |         mask = np.zeros((frame_shape[0], frame_shape[1]), np.uint8) | ||||||
|         mask[:] = 255 |         mask[:] = 255 | ||||||
| 
 | 
 | ||||||
|     motion_detector = MotionDetector(frame_shape, mask, resize_factor=6) |     motion_detector = MotionDetector(frame_shape, mask, resize_factor=6) | ||||||
|  | |||||||
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