50 lines
1.4 KiB
Python
Executable File
50 lines
1.4 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 csv
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import numpy as np
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import rospkg
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import argparse
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import svo_analysis.analyse_logs as analyse_logs
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import svo_analysis.analyse_timing as analyse_timing
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import svo_analysis.analyse_trajectory as analyse_trajectory
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def evaluate_dataset(trace_dir):
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# read tracefile
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data = csv.reader(open(os.path.join(trace_dir, 'trace.csv')))
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fields = data.next()
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D = dict()
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for field in fields:
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D[field] = list()
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# fill dictionary with column values
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for row in data:
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for (field, value) in zip(fields, row):
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D[field].append(float(value))
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# change dictionary values from list to numpy array for easier manipulation
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for field, value in D.items():
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D[field] = np.array(D[field])
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# generate plots
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analyse_logs.analyse_logs(D, trace_dir)
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analyse_timing.analyse_timing(D, trace_dir)
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analyse_trajectory.analyse_trajectory(trace_dir)
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if __name__=="__main__":
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parser = argparse.ArgumentParser(description='''
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Evaluates tracefiles of SVO and generates the plots.
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''')
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parser.add_argument('experiment_name', help='directory name of the tracefiles')
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args = parser.parse_args()
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trace_dir = os.path.join(rospkg.RosPack().get_path('svo_analysis'),
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'results',
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args.experiment_name)
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evaluate_dataset(trace_dir) |