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Rerun results after fixing bug in challenge
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@AKuederle
AKuederle committed Sep 19, 2023
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1 change: 1 addition & 0 deletions ...challenges/Stride Segmentation/EgaitSegmentationValidation2014OriginalLabel/results.ipynb
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"id": "d7192508-b458-4d12-bd3f-781c36282b5a",
"metadata": {
"editable": true,
"is_executing": true,
"slideshow": {
"slide_type": ""
},
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1 change: 1 addition & 0 deletions ...p-challenges/gaitmap_challenges/stride_segmentation/egait_segmentation_validation_2014.py
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Expand Up @@ -197,6 +197,7 @@ class Challenge(BaseChallenge):
use_original_labels: ClassVar[bool] = False

# Update the version, when the challenge_class is changed in a relevant way
# Note: Remember to update the version in the original_label class as well.
VERSION = "1.0.0"

cv_results_: Dict = field(init=False)
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1 change: 1 addition & 0 deletions ...al_label.Challenge/2.0.0/gaitmap/barth_dtw/default/20230919_135547_0/custom_metadata.json
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{"short_description": "DTW based stride segmentation algorithm from Barth et al. (2014)", "long_description": "This algorithms finds strides by matching them with a predefined template using DTW. This entry uses the default parameters from the gaitmap library that are not specifically tuned for any dataset. Further, it uses the default template from the original publication. ", "references": ["https://www.mdpi.com/1424-8220/15/3/6419"], "code_authors": ["MaD-DiGait"], "algorithm_authors": ["Jens Barth et al."], "implementation_url": "https://github.com/mad-lab-fau/gaitmap/blob/master/gaitmap_mad/gaitmap_mad/stride_segmentation/dtw/_barth_dtw.py"}
1 change: 1 addition & 0 deletions ..._original_label.Challenge/2.0.0/gaitmap/barth_dtw/default/20230919_135547_0/metadata.json
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{"entry_name": ["gaitmap", "barth_dtw", "default"], "challenge_name": "gaitmap_challenges.stride_segmentation.egait_segmentation_validation_2014_original_label.Challenge", "challenge_version": "2.0.0", "is_debug_run": false, "repr_challenge": "Challenge(cv_iterator=StratifiedKFold(n_splits=5, random_state=None, shuffle=False), cv_params={'n_jobs': 5}, dataset=EgaitSegmentationValidation2014 [45 groups/rows]\n\n cohort test participant\n 0 control 4x10m GA112030E3\n 1 control 4x10m GA213010E5\n 2 control 4x10m GA313009E5\n 3 control 4x10m GA313011E5\n 4 control 4x10m GA313041E5\n 5 control 4x10m GA313073E5\n 6 control 4x10m GA413003E5\n 7 control 4x10m GA413011E5\n 8 control 4x10m GA413013E5\n 9 control 4x10m GA413048E5\n 10 control free_walk GA214026\n 11 control free_walk GA214030\n 12 control free_walk GA214033\n 13 control free_walk GASTD45JW\n 14 control free_walk GASTD46SAB\n 15 geriatric 4x10m P50E6\n 16 geriatric 4x10m P51E6\n 17 geriatric 4x10m P52E6\n 18 geriatric 4x10m P53E6\n 19 geriatric 4x10m P54E6\n 20 geriatric 4x10m P55E6\n 21 geriatric 4x10m P56E6\n 22 geriatric 4x10m P57E6\n 23 geriatric 4x10m P58E6\n 24 geriatric 4x10m P59E6\n 25 geriatric free_walk PAT1WALD\n 26 geriatric free_walk PAT4WALD\n 27 geriatric free_walk PAT5WALD\n 28 geriatric free_walk PAT7WALD\n 29 geriatric free_walk PAT8WALD\n 30 pd 4x10m GA313039E5\n 31 pd 4x10m GA413002E5\n 32 pd 4x10m GA413046E5\n 33 pd 4x10m GA413049E5\n 34 pd 4x10m GA413051E5\n 35 pd 4x10m GA413052E5\n 36 pd 4x10m GA413053E5\n 37 pd 4x10m GA413054E5\n 38 pd 4x10m GA413055E5\n 39 pd 4x10m GA413056E5\n 40 pd free_walk GA114059\n 41 pd free_walk GA114063\n 42 pd free_walk GA114065\n 43 pd free_walk GA214020\n 44 pd free_walk GA214021)", "repr_pipeline": "DummyOptimize(pipeline=Egait2014DtwBase(dtw=BarthDtw(conflict_resolution=True, find_matches_method='find_peaks', max_cost=4.0, max_match_length_s=3.0, max_signal_stretch_ms=None, max_template_stretch_ms=None, memory=None, min_match_length_s=0.6, resample_template=True, snap_to_min_axis='gyr_ml', snap_to_min_win_ms=300, template=BarthOriginalTemplate(scaling=FixedScaler(offset=0, scale=500.0), use_cols=None))))", "repr_dataset": "EgaitSegmentationValidation2014 [45 groups/rows]\n\n cohort test participant\n 0 control 4x10m GA112030E3\n 1 control 4x10m GA213010E5\n 2 control 4x10m GA313009E5\n 3 control 4x10m GA313011E5\n 4 control 4x10m GA313041E5\n 5 control 4x10m GA313073E5\n 6 control 4x10m GA413003E5\n 7 control 4x10m GA413011E5\n 8 control 4x10m GA413013E5\n 9 control 4x10m GA413048E5\n 10 control free_walk GA214026\n 11 control free_walk GA214030\n 12 control free_walk GA214033\n 13 control free_walk GASTD45JW\n 14 control free_walk GASTD46SAB\n 15 geriatric 4x10m P50E6\n 16 geriatric 4x10m P51E6\n 17 geriatric 4x10m P52E6\n 18 geriatric 4x10m P53E6\n 19 geriatric 4x10m P54E6\n 20 geriatric 4x10m P55E6\n 21 geriatric 4x10m P56E6\n 22 geriatric 4x10m P57E6\n 23 geriatric 4x10m P58E6\n 24 geriatric 4x10m P59E6\n 25 geriatric free_walk PAT1WALD\n 26 geriatric free_walk PAT4WALD\n 27 geriatric free_walk PAT5WALD\n 28 geriatric free_walk PAT7WALD\n 29 geriatric free_walk PAT8WALD\n 30 pd 4x10m GA313039E5\n 31 pd 4x10m GA413002E5\n 32 pd 4x10m GA413046E5\n 33 pd 4x10m GA413049E5\n 34 pd 4x10m GA413051E5\n 35 pd 4x10m GA413052E5\n 36 pd 4x10m GA413053E5\n 37 pd 4x10m GA413054E5\n 38 pd 4x10m GA413055E5\n 39 pd 4x10m GA413056E5\n 40 pd free_walk GA114059\n 41 pd free_walk GA114063\n 42 pd free_walk GA114065\n 43 pd free_walk GA214020\n 44 pd free_walk GA214021", "dataset_name": "EgaitSegmentationValidation2014", "dataset_columns": ["cohort", "test", "participant"], "run_start_datetime_utc": 1695124547.569478, "run_start_datetime": "2023-09-19T15:55:47.569492+02:00", "end_start_datetime_utc": 1695124555.556577, "end_start_datetime": "2023-09-19T15:55:55.556588+02:00", "runtime": 7.987016883678734, "system_info": {"python_version": "3.9.12 (main, Apr 5 2022, 06:56:58) \n[GCC 7.5.0]", "python_implementation": "cpython", "packages_info": {"alembic": "1.12.0", "bokeh": "3.1.1", "c3d": "0.5.2", "certifi": "2023.7.22", "charset-normalizer": "3.2.0", "click": "8.1.7", "cmaes": "0.10.0", "colorlog": "6.7.0", "contourpy": "1.1.1", "cycler": "0.11.0", "fonttools": "4.42.1", "gaitmap": "2.3.0", "gaitmap-algos": "0.1.0", "gaitmap-bench": "0.1.0", "gaitmap-challenges": "0.1.0", "gaitmap-datasets": "0.14.0", "gaitmap-mad": "2.3.0", "gitdb": "4.0.10", "GitPython": "3.1.36", "greenlet": "2.0.2", "h5py": "3.9.0", "idna": "3.4", "importlib-metadata": "6.8.0", "importlib-resources": "6.0.1", "imucal": "2.4.0", "Jinja2": "3.1.2", "joblib": "1.3.2", "kiwisolver": "1.4.5", "lazy_loader": "0.3", "linkify-it-py": "2.0.2", "littleutils": "0.2.2", "llvmlite": "0.40.1", "Mako": "1.2.4", "markdown-it-py": "3.0.0", "MarkupSafe": "2.1.3", "matplotlib": "3.7.3", "mdit-py-plugins": "0.4.0", "mdurl": "0.1.2", "networkx": "3.1", "nilspodlib": "3.6.0", "numba": "0.57.1", "numpy": "1.24.4", 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"2023.7.0", "zipp": "3.17.0"}, "cpu": {"python_version": "3.9.12.final.0 (64 bit)", "cpuinfo_version": [9, 0, 0], "cpuinfo_version_string": "9.0.0", "arch": "X86_64", "bits": 64, "count": 32, "arch_string_raw": "x86_64", "vendor_id_raw": "GenuineIntel", "brand_raw": "Intel(R) Xeon(R) Gold 6326 CPU @ 2.90GHz", "hz_advertised_friendly": "2.9000 GHz", "hz_actual_friendly": "3.3000 GHz", "stepping": 6, "model": 106, "family": 6, "l3_cache_size": 25165824, "l2_cache_size": 1310720, "l1_data_cache_size": 49152, "l1_instruction_cache_size": 32768}}, "config": {"tmp_dir": "../../../../../../tmp/2166735.woody", "cache_dir": "../../../../../woody/iwso/iwso021h/caches/gaitmap-bench", "results_dir": "results", "n_jobs": 5, "datasets": {"egait_parameter_validation_2013": "../../../../../woody/iwso/iwso021h/datasets/eGaIT_database", "sensor_position_comparison_2019": "../../../../../woody/iwso/iwso021h/datasets/sensor_position_comparison", "egait_segmentation_validation_2014": "../../../../../woody/iwso/iwso021h/datasets/eGaIT_database_segmentation", "pyshoe_2019": "../../../../../woody/iwso/iwso021h/datasets/2019-pyshoe", "egait_adidas_2014": "../../../../../woody/iwso/iwso021h/datasets/ValidationDatasets-GaitAnalysis/MoCapReference_Adidas/public_version", "stair_ambulation_healthy_2021": "../../../../../woody/iwso/iwso021h/datasets/stair_ambulation_dataset", "kluge_2017": "../../../../../woody/iwso/iwso021h/datasets/FelixValidationData"}}, "caller_file_path": "entries/gaitmap_algos/gaitmap_algos/stride_segmentation/dtw/barth_dtw/egait_segmentation_validation_2014_original_label_default.py", "git_commit_hash": "1b7e6ede9cbffccd96ff3ed5a248931fd712d201", "git_dirty": false, "git_base_dir": ".", "git_dirty_ignore": ["results", "docs", ".run_configs", ".github", "gaitmap_paper"]}
8 changes: 8 additions & 0 deletions ...abel.Challenge/2.0.0/gaitmap/barth_dtw/default/20230919_135547_0/results/cv_metadata.json
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{
"dataset_name": "EgaitSegmentationValidation2014",
"dataset_columns": [
"cohort",
"test",
"participant"
]
}
1 change: 1 addition & 0 deletions ...label.Challenge/2.0.0/gaitmap/barth_dtw/default/20230919_135547_0/results/cv_results.json
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