|  |  |  | @ -30,6 +30,7 @@ EXTERNAL_PATH = os.path.dirname(os.path.abspath(__file__)) | 
			
		
	
		
			
				
					|  |  |  |  | VP_VALIDITY_CORNERS = np.array([[-150., -200.], [150., 200.]])  + VP_INIT | 
			
		
	
		
			
				
					|  |  |  |  | GRID_WEIGHT_INIT = 2e6 | 
			
		
	
		
			
				
					|  |  |  |  | MAX_LINES = 500    # max lines to avoid over computation | 
			
		
	
		
			
				
					|  |  |  |  | HOOD_HEIGHT = H*3/4 # the part of image usually free from the car's hood | 
			
		
	
		
			
				
					|  |  |  |  | 
 | 
			
		
	
		
			
				
					|  |  |  |  | DEBUG = os.getenv("DEBUG") is not None | 
			
		
	
		
			
				
					|  |  |  |  | 
 | 
			
		
	
	
		
			
				
					|  |  |  | @ -135,7 +136,12 @@ class Calibrator(object): | 
			
		
	
		
			
				
					|  |  |  |  |       return | 
			
		
	
		
			
				
					|  |  |  |  |     rot_speeds = np.array([0.,0.,-yaw_rate]) | 
			
		
	
		
			
				
					|  |  |  |  |     uvs[:,1,:] = denormalize(correct_pts(normalize(uvs[:,1,:]), rot_speeds, self.dt)) | 
			
		
	
		
			
				
					|  |  |  |  |     good_tracks = np.linalg.norm(uvs[:,1,:] - uvs[:,0,:], axis=1) > 10 | 
			
		
	
		
			
				
					|  |  |  |  |     # exclude tracks where: | 
			
		
	
		
			
				
					|  |  |  |  |     # - pixel movement was less than 10 pixels | 
			
		
	
		
			
				
					|  |  |  |  |     # - tracks are in the "hood region" | 
			
		
	
		
			
				
					|  |  |  |  |     good_tracks = np.all([np.linalg.norm(uvs[:,1,:] - uvs[:,0,:], axis=1) > 10, | 
			
		
	
		
			
				
					|  |  |  |  |                   uvs[:,0,1] < HOOD_HEIGHT, | 
			
		
	
		
			
				
					|  |  |  |  |                   uvs[:,1,1] < HOOD_HEIGHT], axis = 0) | 
			
		
	
		
			
				
					|  |  |  |  |     uvs = uvs[good_tracks] | 
			
		
	
		
			
				
					|  |  |  |  |     if uvs.shape[0] > MAX_LINES: | 
			
		
	
		
			
				
					|  |  |  |  |       uvs = uvs[np.random.choice(uvs.shape[0], MAX_LINES, replace=False), :] | 
			
		
	
	
		
			
				
					|  |  |  | 
 |