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hub / github.com/OpenDriveLab/TCP / save

Method save

leaderboard/team_code/roach_ap_agent.py:440–469  ·  view source on GitHub ↗
(self, near_node, far_node, near_command, far_command, tick_data, supervision_dict, render_img, should_brake)

Source from the content-addressed store, hash-verified

438 return None
439
440 def save(self, near_node, far_node, near_command, far_command, tick_data, supervision_dict, render_img, should_brake):
441 frame = self.step // 10 - 2
442
443 Image.fromarray(tick_data['rgb']).save(self.save_path / 'rgb' / ('%04d.png' % frame))
444 Image.fromarray(render_img).save(self.save_path / 'bev' / ('%04d.png' % frame))
445 pos = self._get_position(tick_data)
446 theta = tick_data['compass']
447 speed = tick_data['speed']
448
449 data = {
450 'x': pos[0],
451 'y': pos[1],
452 'theta': theta,
453 'speed': speed,
454 'x_command_far': far_node[0],
455 'y_command_far': far_node[1],
456 'command_far': far_command.value,
457 'x_command_near': near_node[0],
458 'y_command_near': near_node[1],
459 'command_near': near_command.value,
460 'should_brake': should_brake,
461 'x_target': tick_data['x_target'],
462 'y_target': tick_data['y_target'],
463 'target_command': tick_data['next_command'],
464 }
465 outfile = open(self.save_path / 'measurements' / ('%04d.json' % frame), 'w')
466 json.dump(data, outfile, indent=4)
467 outfile.close()
468 with open(self.save_path / 'supervision' / ('%04d.npy' % frame), 'wb') as f:
469 np.save(f, supervision_dict)
470
471
472 def get_target_gps(self, gps, compass):

Callers 1

run_stepMethod · 0.95

Calls 1

_get_positionMethod · 0.95

Tested by

no test coverage detected