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author | Niclas Dobbertin <niclas.dobbertin@stud.tu-darmstadt.de> | 2023-08-02 14:13:45 +0200 |
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committer | Niclas Dobbertin <niclas.dobbertin@stud.tu-darmstadt.de> | 2023-08-02 14:13:45 +0200 |
commit | 4d9c0dce1f5bc0bd3cde1b89875387f1a13c18c4 (patch) | |
tree | 661fe5eb571ae7dc89ea52c546f6aa5df0cc3595 /bjoern/videoanalyse/eval.py | |
parent | 3fdab9495310e8d29cab65d1ee0c1bfa0b26a76e (diff) |
add additional scripts
Diffstat (limited to 'bjoern/videoanalyse/eval.py')
-rw-r--r-- | bjoern/videoanalyse/eval.py | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/bjoern/videoanalyse/eval.py b/bjoern/videoanalyse/eval.py new file mode 100644 index 0000000..a917b7a --- /dev/null +++ b/bjoern/videoanalyse/eval.py @@ -0,0 +1,29 @@ +#!/usr/bin/env python3 + +import argparse +from pathlib import Path +import pandas as pd +import csv +from Levenshtein import distance as levendist + + +argparser = argparse.ArgumentParser( + description="Distance evaluation" +) +argparser.add_argument( + "vp_dir", help="Directory containing merged.csv" +) + +args = argparser.parse_args() + +vp_path = Path(args.vp_dir) + +df = pd.read_csv(vp_path / "merged.csv") + +df["levenshtein-distance"] = df.apply( + lambda row: levendist(str(row.url), str(row.log_url)), axis=1 +) + + + +df.to_csv(vp_path / "metrics.csv", quoting=csv.QUOTE_NONNUMERIC) |