True.

adapter.py

@@ -10,20 +10,19 @@ from runner import find_homography, warp_board
 # Load base64 encoded image from stdin
 from tensor_classifier import predict_board
 
+while True:
     stdin = sys.stdin.readline()
     stdin_decoded = base64.b64decode(stdin)
     img_array = np.frombuffer(stdin_decoded, dtype=np.uint8)
     camera_img = cv2.imdecode(img_array, flags=cv2.COLOR_BGR2RGB)
     camera_img = cv2.cvtColor(camera_img, cv2.COLOR_BGR2RGB)
 
-
     # def do_everything:
     homography = find_homography(camera_img)
     warped_board = warp_board(camera_img, homography)
     occupied_squares = find_occupied_squares(warped_board)
     board = predict_board(occupied_squares)
 
-
     # Finally, output to stdout for unity to read
     result = {
         "homography": homography.tolist(),