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Dmitri 2025-11-20 00:00:08 +01:00
parent e783ffa2cc
commit 1179f93485
Signed by: kanopo
GPG Key ID: 759ADD40E3132AC7
5 changed files with 685 additions and 1344 deletions
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7
fetus-event-detection-classification/.gitignore vendored
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@ -1,2 +1,5 @@
output/
./weights src/__pycache__/
dataset.csv
mother.csv
fetus.csv

1314
fetus-event-detection-classification/poetry.lock generated
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File diff suppressed because it is too large Load Diff

35
fetus-event-detection-classification/pyproject.toml
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@ -1,24 +1,25 @@
[tool.poetry] [project]
name = "fetus-event-detection-classification" name = "fetus-event-detection-classification"
version = "0.1.0" version = "0.1.0"
description = "" description = ""
authors = ["kanopo <dmitri.ollari@protonmail.com>"] authors = [{ name = "kanopo", email = "dmitri.ollari@protonmail.com" }]
license = "MIT" requires-python = ">=3.12,<3.13"
readme = "README.md" readme = "README.md"
package-mode = false license = "MIT"
dependencies = [
[tool.poetry.dependencies] "pandas>=2.2.2,<3",
python = "^3.12" "matplotlib>=3.9.1,<4",
pandas = "^2.2.2" "torch>=2.3.1,<3",
matplotlib = "^3.9.1" "seaborn>=0.13.2,<0.14",
torch = "^2.3.1" "imblearn>=0.0,<0.1",
seaborn = "^0.13.2" "imbalanced-learn>=0.12.3,<0.13",
imblearn = "^0.0" "torchmetrics>=1.4.0.post0,<2",
imbalanced-learn = "^0.12.3" "tqdm>=4.66.4,<5",
torchmetrics = "^1.4.0.post0" ]
tqdm = "^4.66.4"
[tool.uv]
package = false
[build-system] [build-system]
requires = ["poetry-core"] requires = ["hatchling"]
build-backend = "poetry.core.masonry.api" build-backend = "hatchling.build"

21
fetus-event-detection-classification/src/main.py
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@ -1,5 +1,3 @@
#!/usr/bin/env python3.12
import os import os
import warnings import warnings
import pandas as pd import pandas as pd
@ -203,7 +201,7 @@ def createArgParser():
"--path", "--path",
action="store", action="store",
help="Path to the dataset", help="Path to the dataset",
default="~/Documents/womb-wise/Data/", default="~/Documents/womb-wise-data",
) )
# epoch # epoch
@ -278,13 +276,13 @@ if __name__ == "__main__":
NUM_LAYERS = 2 NUM_LAYERS = 2
EPS = 1e-7 EPS = 1e-7
# TEST_NAME = "0_k1_all" TEST_NAME = "0_k1_all"
# TEST_NAME = "1_k1_fetus" # TEST_NAME = "1_k1_fetus"
# TEST_NAME = "2_k1_mother" # TEST_NAME = "2_k1_mother"
# TEST_NAME = "3_k1_mother_fetus" # TEST_NAME = "3_k1_mother_fetus"
# TEST_NAME = "4_k1_fetus_mother" # TEST_NAME = "4_k1_fetus_mother"
# TEST_NAME = "5_k5_all" # TEST_NAME = "5_k5_all"
TEST_NAME = "6_k5_fetus" # TEST_NAME = "6_k5_fetus"
# TEST_NAME = "7_k5_mother" # TEST_NAME = "7_k5_mother"
if not os.path.exists("output/" + TEST_NAME): if not os.path.exists("output/" + TEST_NAME):
@ -317,36 +315,37 @@ if __name__ == "__main__":
EARLY_STOPPING = True EARLY_STOPPING = True
DATASET_TYPE = args.dataset DATASET_TYPE = args.dataset
if os.path.exists("dataset.csv") and args.reload_dataset is False: if os.path.exists("dataset.csv") and args.reload_dataset is False:
dataset = pd.read_csv("dataset.csv") dataset = pd.read_csv("dataset.csv")
mother = pd.read_csv("mother.csv") mother = pd.read_csv("mother.csv")
fetus = pd.read_csv("fetus.csv") fetus = pd.read_csv("fetus.csv")
else: else:
baseline_fetus = get_dataset( baseline_fetus = get_dataset(
"~/Documents/kanopo/womb-wise/Data/Ultrasound_Scans/tracked_frames/", PATH +"/Ultrasound_Scans/tracked_frames/",
"baseline", "baseline",
) )
yawn_fetus = get_dataset( yawn_fetus = get_dataset(
"~/Documents/kanopo/womb-wise/Data/Ultrasound_Scans/tracked_frames/", PATH + "/Ultrasound_Scans/tracked_frames/",
"yawn", "yawn",
) )
opcl_fetus = get_dataset( opcl_fetus = get_dataset(
"~/Documents/kanopo/womb-wise/Data/Ultrasound_Scans/tracked_frames/", PATH + "/Ultrasound_Scans/tracked_frames/",
"opcl", "opcl",
) )
fetus = pd.concat([baseline_fetus, yawn_fetus, opcl_fetus]) fetus = pd.concat([baseline_fetus, yawn_fetus, opcl_fetus])
baseline_mother = get_dataset( baseline_mother = get_dataset(
"~/Documents/kanopo/womb-wise/Data/Mothers_videos/Tracked/", PATH + "/Mothers_videos/Tracked/",
"baseline", "baseline",
) )
yawn_mother = get_dataset( yawn_mother = get_dataset(
"~/Documents/kanopo/womb-wise/Data/Mothers_videos/Tracked/", PATH + "/Mothers_videos/Tracked/",
"yawn", "yawn",
) )
opcl_mother = get_dataset( opcl_mother = get_dataset(
"~/Documents/kanopo/womb-wise/Data/Mothers_videos/Tracked/", PATH + "/Mothers_videos/Tracked/",
"opcl", "opcl",
) )

652
fetus-event-detection-classification/uv.lock generated Normal file
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