81 lines
2.9 KiB
Python
Executable File
81 lines
2.9 KiB
Python
Executable File
#!/usr/bin/python
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"""
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Created on Sat Aug 10 18:21:47 2013
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@author: Christian Forster
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"""
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import os
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import yaml
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import rospkg
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import argparse
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import time
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import vikit_py.cpu_info as cpu_info
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import vikit_py.ros_node as ros_node
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import evaluate
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if __name__=="__main__":
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# parse command line
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parser = argparse.ArgumentParser(description='''
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Runs SVO with the dataset and parameters specified in the provided experiment file.
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''')
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parser.add_argument('experiment_file', help='experiment file in svo_analysis/experiments folder')
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parser.add_argument('--name', help='experiment name')
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parser.add_argument('--evaluate', help='evaluate tracefile after running SVO', action='store_true')
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parser.add_argument('--version', help='version of svo to evaluate', default='svo_ros')
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parser.add_argument('--executable', help='the executable to be called', default='benchmark')
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args = parser.parse_args()
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# load experiment parameters
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expParamsFile = os.path.join(rospkg.RosPack().get_path('svo_analysis'),
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'experiments', args.experiment_file+'.yaml')
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expParams = yaml.load(open(expParamsFile, 'r'))
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expParams['time'] = time.strftime("%Y%m%d_%H%M", time.localtime())
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expParams['platform'] = cpu_info.get_cpu_info()
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expParams['experiment_name'] = args.name
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if(expParams['experiment_name'] == None):
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expParams['experiment_name'] = expParams['time']+'_'+args.version+'_' + args.experiment_file
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# load dataset parameters
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expParams['dataset_directory'] = os.path.join(os.environ['SVO_DATASET_DIR'], expParams['dataset'])
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if not os.path.exists(expParams['dataset_directory']):
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raise Exception("Provided dataset folder does not exist.")
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datasetParamsFile = os.path.join(expParams['dataset_directory'], 'dataset_params.yaml')
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datasetParams = yaml.load(open(datasetParamsFile,'r'))
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# load algorithm parameters
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algoParamsFile = os.path.join(rospkg.RosPack().get_path('svo_ros'),
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'param', expParams['param_settings']+'.yaml')
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algoParams = yaml.load(open(algoParamsFile,'r'))
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# combine all parameters
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params = dict(expParams.items() + datasetParams.items() + datasetParams['rig']['cam0'].items() + algoParams.items())
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params['trace_name'] = 'trace'
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params['trace_dir'] = os.path.join(rospkg.RosPack().get_path('svo_analysis'),
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'results', params['experiment_name'])
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# create folder for tracing
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if not os.path.exists(params['trace_dir']):
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os.makedirs(params['trace_dir'])
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# dump experiment params to file:
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params_dump_file = params['trace_dir']+'/params.yaml'
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with open(params_dump_file,'w') as outfile:
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outfile.write(yaml.dump(params, default_flow_style=False))
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# execute ros node
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node = ros_node.RosNode(args.version, args.executable)
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node.run(params)
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# TODO: check if it is a synthetic dataset
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evaluate.evaluate_dataset(params['trace_dir'])
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