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					31 lines
				
				1.1 KiB
			
		
		
			
		
	
	
					31 lines
				
				1.1 KiB
			| 
											5 years ago
										 | #!/usr/bin/env python3
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|  | import os
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|  | import numpy as np
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|  | 
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|  | from tools.lib.logreader import LogReader
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|  | from tools.lib.framereader import FrameReader
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|  | from tools.lib.cache import cache_path_for_file_path
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|  | from selfdrive.test.process_replay.camera_replay import camera_replay
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|  | 
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|  | 
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|  | if __name__ == "__main__":
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|  |   lr = LogReader(os.path.expanduser('~/rlog.bz2'))
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|  |   fr = FrameReader(os.path.expanduser('~/fcamera.hevc'))
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|  |   desire = np.load(os.path.expanduser('~/desire.npy'))
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|  |   calib = np.load(os.path.expanduser('~/calib.npy'))
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|  | 
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|  |   try:
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|  |     msgs = camera_replay(list(lr), fr, desire=desire, calib=calib)
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|  |   finally:
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|  |     cache_path = cache_path_for_file_path(os.path.expanduser('~/fcamera.hevc'))
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|  |     if os.path.isfile(cache_path):
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|  |       os.remove(cache_path)
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|  | 
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|  |   output_size = len(np.frombuffer(msgs[0].model.rawPred, dtype=np.float32))
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|  |   output_data = np.zeros((len(msgs), output_size), dtype=np.float32)
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|  |   for i, msg in enumerate(msgs):
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|  |     output_data[i] = np.frombuffer(msg.model.rawPred, dtype=np.float32)
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|  |   np.save(os.path.expanduser('~/modeldata.npy'), output_data)
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|  | 
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|  |   print("Finished replay")
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