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48 lines
1.7 KiB
48 lines
1.7 KiB
5 years ago
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#!/usr/bin/env python3
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# Question: Can a human drive from this data?
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import cv2
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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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from common.transformations.model import MEDMODEL_INPUT_SIZE
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from common.transformations.camera import FULL_FRAME_SIZE, eon_intrinsics
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from common.transformations.model import get_camera_frame_from_medmodel_frame
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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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