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							50 lines
						
					
					
						
							2.0 KiB
						
					
					
				
			
		
		
	
	
							50 lines
						
					
					
						
							2.0 KiB
						
					
					
				#!/usr/bin/env python3
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# Question: Can a human drive from this data?
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import os
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import cv2  # pylint: disable=import-error
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import numpy as np
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import cereal.messaging as messaging
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from common.window import Window
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if os.getenv("BIG") is not None:
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  from common.transformations.model import BIGMODEL_INPUT_SIZE as MEDMODEL_INPUT_SIZE
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  from common.transformations.model import get_camera_frame_from_bigmodel_frame as get_camera_frame_from_medmodel_frame
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else:
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  from common.transformations.model import MEDMODEL_INPUT_SIZE
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  from common.transformations.model import get_camera_frame_from_medmodel_frame
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from common.transformations.camera import FULL_FRAME_SIZE, eon_intrinsics
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from tools.replay.lib.ui_helpers import CalibrationTransformsForWarpMatrix
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if __name__ == "__main__":
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  sm = messaging.SubMaster(['liveCalibration'])
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  frame = messaging.sub_sock('frame', conflate=True)
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  win = Window(MEDMODEL_INPUT_SIZE[0], MEDMODEL_INPUT_SIZE[1], double=True)
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  calibration = None
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  while 1:
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    fpkt = messaging.recv_one(frame)
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    if len(fpkt.frame.image) == 0:
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      continue
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    sm.update(timeout=1)
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    rgb_img_raw = fpkt.frame.image
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    imgff = np.frombuffer(rgb_img_raw, dtype=np.uint8).reshape((FULL_FRAME_SIZE[1], FULL_FRAME_SIZE[0], 3))
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    imgff = imgff[:, :, ::-1]  # Convert BGR to RGB
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    if sm.updated['liveCalibration']:
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      intrinsic_matrix = eon_intrinsics
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      img_transform = np.array(fpkt.frame.transform).reshape(3, 3)
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      extrinsic_matrix = np.asarray(sm['liveCalibration'].extrinsicMatrix).reshape(3, 4)
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      ke = intrinsic_matrix.dot(extrinsic_matrix)
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      warp_matrix = get_camera_frame_from_medmodel_frame(ke)
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      calibration = CalibrationTransformsForWarpMatrix(warp_matrix, intrinsic_matrix, extrinsic_matrix)
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      transform = np.dot(img_transform, calibration.model_to_full_frame)
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    if calibration is not None:
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      imgw = cv2.warpAffine(imgff, transform[:2],
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        (MEDMODEL_INPUT_SIZE[0], MEDMODEL_INPUT_SIZE[1]),
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        flags=cv2.WARP_INVERSE_MAP | cv2.INTER_CUBIC)
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      win.draw(imgw)
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