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| author | Niclas Dobbertin <niclas.dobbertin@stud.tu-darmstadt.de> | 2023-10-04 12:33:39 +0200 |
|---|---|---|
| committer | Niclas Dobbertin <niclas.dobbertin@stud.tu-darmstadt.de> | 2023-10-04 12:33:39 +0200 |
| commit | d52ede0288a5db23563ec29f998a1ad26e8aec28 (patch) | |
| tree | e5e73df1e5372ad450db93d48921ecc29d615c3a /bjoern/videoanalyse/post_processing.py | |
| parent | cb7f7b44140728990f99115863922dd1f96c5cfe (diff) | |
use LogParser in post_processing
Diffstat (limited to 'bjoern/videoanalyse/post_processing.py')
| -rw-r--r-- | bjoern/videoanalyse/post_processing.py | 11 |
1 files changed, 9 insertions, 2 deletions
diff --git a/bjoern/videoanalyse/post_processing.py b/bjoern/videoanalyse/post_processing.py index e24edcf..bdf76c3 100644 --- a/bjoern/videoanalyse/post_processing.py +++ b/bjoern/videoanalyse/post_processing.py @@ -6,6 +6,7 @@ from pprint import pprint import pandas as pd import utils +import LogParser argparser = argparse.ArgumentParser(description="OCR-Logfile evaluation") argparser.add_argument("vp_dir", help="Directory with all VPs") @@ -17,12 +18,18 @@ all_vp = [x for x in data_path.iterdir() if x.is_dir()] vp_results = [] for vp_path in all_vp: + log = LogParser.extract_activities(LogParser.get_log_data(vp_path)) + log = LogParser.generate_log(log) + history = LogParser.get_history_db(vp_path) + log = LogParser.match_urls(history, log) + LogParser.write_logfile(vp_path, log) + video_path = next(vp_path.glob("*.mkv")) ocr_path = vp_path / "analysis_results.csv" - log_path = vp_path / f"{vp_path.stem}.csv" + log_path = vp_path / "logs.csv" df = utils.combine_ocr_logs(video_path, ocr_path, log_path) - df = df.fillna('') + df = df.fillna("") df["vp_code"] = vp_path.stem df = utils.calc_levenshtein_distance(df) |