From cfc3262b1c761f6774aaa930935ae898224e6d38 Mon Sep 17 00:00:00 2001
From: lcalmettes <leo.calmettes@etu.ec-lyon.fr>
Date: Wed, 2 Apr 2025 10:43:38 +0200
Subject: [PATCH] =?UTF-8?q?=09modifi=C3=A9=C2=A0:=20=20=20=20=20=20=20=20?=
=?UTF-8?q?=20image=5Fprocessing/build=5Fdataset.py=20=09modifi=C3=A9?=
=?UTF-8?q?=C2=A0:=20=20=20=20=20=20=20=20=20main.py?=
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---
image_processing/build_dataset.py | 6 +++---
main.py | 1 +
2 files changed, 4 insertions(+), 3 deletions(-)
diff --git a/image_processing/build_dataset.py b/image_processing/build_dataset.py
index d2820b2..0460fd4 100644
--- a/image_processing/build_dataset.py
+++ b/image_processing/build_dataset.py
@@ -145,7 +145,7 @@ def create_antibio_dataset(path='../data/label_raw/230804_strain_peptides_antibi
l = split_before_number(s)
species = l[0]
nb = l[1]
- return '{}-{}-{}{}.mzML'.format(species,nb,analyse,suffix)
+ return f'{species}-{nb}-{analyse}{suffix}.mzML'
df['path_ana'] = df['sample_name'].map(lambda x: create_fname(x,analyse='ANA'))
df['path_aer'] = df['sample_name'].map(lambda x: create_fname(x, analyse='AER'))
@@ -172,8 +172,8 @@ def create_dataset():
name = label[label['path_aer'] == path.split("/")[-1]]['sample_name'].values[0]
analyse = 'AER'
if species is not None: #save image in species specific dir
- directory_path_png = '../data/processed_data/png_image/{}'.format(species)
- directory_path_npy = '../data/processed_data/npy_image/{}'.format(species)
+ directory_path_png = f'../data/processed_data/png_image/{species}'
+ directory_path_npy = f'../data/processed_data/npy_image/{species}'
if not os.path.isdir(directory_path_png):
os.makedirs(directory_path_png)
if not os.path.isdir(directory_path_npy):
diff --git a/main.py b/main.py
index 91a64ce..d9d63da 100644
--- a/main.py
+++ b/main.py
@@ -11,6 +11,7 @@ from sklearn.metrics import confusion_matrix
import seaborn as sn
import pandas as pd
+#test modif git
def train(model, data_train, optimizer, loss_function, epoch):
--
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