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+
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+
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+dist/
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+share/python-wheels/
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+*.egg
+MANIFEST
+
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+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
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+*.log
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+
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+
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+
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+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
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+
+# Spyder project settings
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+.spyproject
+
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+
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+/site
+
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+
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+
+# pytype static type analyzer
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+
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+
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+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# VSCode configuration files
+.vscode/

.idea/jan24_cds_mushrooms.iml

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LICENSE

@@ -0,0 +1,19 @@
+Copyright (c) 2024 Heuzef (heuzef.com)
+Tous droits réservés.
+
+Redistribution et utilisation limitées
+
+La présente licence vous autorise, à titre non exclusif et non transférable, à utiliser le Logiciel aux conditions suivantes :
+
+Vous ne pouvez pas copier, modifier, fusionner, publier, distribuer, concéder en sous-licence ou vendre le Logiciel.
+Vous ne pouvez pas utiliser le Logiciel à des fins commerciales.
+Vous ne pouvez pas supprimer les mentions de copyright ou d'autres mentions légales du Logiciel.
+Vous devez conserver la documentation du Logiciel.
+Vous devez vous conformer à toutes les lois et réglementations applicables à l'utilisation du Logiciel.
+Résiliation
+
+La présente licence peut être résiliée par le détenteur des droits d'auteur à tout moment, pour quelque raison que ce soit. En cas de résiliation, vous devez immédiatement cesser d'utiliser le Logiciel et détruire toutes les copies du Logiciel en votre possession.
+
+Garantie
+
+LE LOGICIEL EST FOURNI « EN L'ÉTAT », SANS GARANTIE D'AUCUNE SORTE, EXPRESSE OU IMPLICITE, Y COMPRIS, MAIS SANS S'Y LIMITER, LES GARANTIES DE QUALITÉ MARCHANDE, D'ADÉQUATION À UN USAGE PARTICULIER ET D'ABSENCE DE CONTREFAÇON. EN AUCUN CAS LE DÉTENU DES DROITS D'AUTEUR NE SERA TENU RESPONSABLE DE TOUTE RÉCLAMATION, DE TOUT DOMMAGE OU DE TOUTE AUTRE RESPONSABILITÉ, QU'IL S'AGISSE D'UNE ACTION CONTRACTUELLE, DÉLICTUELLE OU AUTRE, DÉCOULANT DE, RÉSULTANT DE OU EN RELATION AVEC LE LOGICIEL OU SON UTILISATION OU D'AUTRES OPÉRATIONS AVEC LE LOGICIEL.

README.md

@@ -1,2 +1,53 @@
-# jan24_cds_mushrooms
+CHAMPI
+==============================
 
+## 🍄 Reconnaissance de champignons 🍄
+
+**Projet de groupe 2024 DataScientest**
+
+* [Heuzef](https://heuzef.com)
+
+* [Yvan Rolland](https://github.com/YvanRLD)
+
+* [Viktoriia Saveleva](https://github.com/SavelevaV)
+
+* [Florent Constant](https://github.com/FConstantMovework)
+
+Organisation du projet
+------------
+
+```
+├── LICENSE
+├── README.md
+├── data               <- (in .gitignore)
+│   ├── processed      <- The final, canonical data sets for modeling.
+│   └── raw            <- The original, immutable data dump.
+│
+├── models             <- Trained and serialized models, model predictions, or model summaries
+│
+├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
+│                         the creator's name, and a short `-` delimited description, e.g.
+│                         `1.0-alban-data-exploration`.
+│
+├── references         <- Data dictionaries, manuals, links, and all other explanatory materials.
+│
+├── reports            <- Project reports as PDF
+│   └── figures        <- Generated graphics and figures used in reporting
+│
+├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
+│                         generated with `pip freeze > requirements.txt`
+│
+├── src                <- Source code for use in this project.
+│   ├── __init__.py    <- Makes src a Python module
+│   │
+│   ├── features       <- Scripts to turn raw data into features for modeling
+│   │   └── build_features.py
+│   │
+│   ├── models         <- Scripts to train models and then use trained models to make
+│   │   │                 predictions
+│   │   ├── predict_model.py
+│   │   └── train_model.py
+│   │
+│   ├── visualization  <- Scripts to create exploratory and results oriented visualizations
+│   │   └── visualize.py
+```

data/champi_data_windows.bat

@@ -0,0 +1 @@
+net use D: "\\sshfs\u353969-sub1@u353969.your-storagebox.de!23"

data/data_exploitation.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import des librairies\n",
+    "import os\n",
+    "\n",
+    "# Fonctions\n",
+    "def get_total_size(directory):\n",
+    "    \"\"\"\n",
+    "    Calcule la somme du poids des fichiers dans un répertoire en Mégaoctets.\n",
+    "\n",
+    "    Args:\n",
+    "        directory (str): Chemin d'accès au répertoire.\n",
+    "\n",
+    "    Returns:\n",
+    "        float: Somme du poids des fichiers en Mégaoctets.\n",
+    "    \"\"\"\n",
+    "    total_size = 0\n",
+    "    for root, _, files in os.walk(directory):\n",
+    "        for filename in files:\n",
+    "            filepath = os.path.join(root, filename)\n",
+    "            if os.path.isfile(filepath):\n",
+    "                filesize = os.path.getsize(filepath)\n",
+    "                total_size += filesize\n",
+    "    return total_size / 1024 ** 2  # Convertir en Mégaoctets\n",
+    "\n",
+    "# Repertoire des donnés\n",
+    "data_path = 'D:'\n",
+    "\n",
+    "# Liste des fichiers\n",
+    "data_files = os.listdir(data_path)\n",
+    "number_of_files = len(data_files)\n",
+    "\n",
+    "# Explorer les fichiers\n",
+    "print(\"Liste des\", number_of_files, \"fichiers (\", round(get_total_size(data_path), 2), \"Mo ) :\\n\")\n",
+    "for item in data_files:\n",
+    "    print(item)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

notebooks/.gitkeep

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+

notebooks/Data_Augmentation.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import numpy as np\n",
+    "from tensorflow.keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img, array_to_img\n",
+    "\n",
+    "# Define the source and destination directories\n",
+    "source_directory = 'path_to_your_images'\n",
+    "augmented_directory = 'path_to_save_augmented_images'\n",
+    "\n",
+    "# Create the destination directory if it does not exist\n",
+    "if not os.path.exists(augmented_directory):\n",
+    "    os.makedirs(augmented_directory)\n",
+    "\n",
+    "# Initialize the ImageDataGenerator with augmentation parameters\n",
+    "datagen = ImageDataGenerator(\n",
+    "    rotation_range=40,\n",
+    "    width_shift_range=0.2,\n",
+    "    height_shift_range=0.2,\n",
+    "    shear_range=0.2,\n",
+    "    zoom_range=0.2,\n",
+    "    horizontal_flip=True,\n",
+    "    fill_mode='nearest'\n",
+    ")\n",
+    "\n",
+    "# Function to augment and save images\n",
+    "def augment_images(image_path, save_to_dir, prefix='aug', num_augmented_images=5):\n",
+    "    img = load_img(image_path)  # Load image\n",
+    "    x = img_to_array(img)  # Convert image to array\n",
+    "    x = np.expand_dims(x, axis=0)  # Expand dimensions to match the input shape required by the generator\n",
+    "\n",
+    "    # Generate augmented images and save them\n",
+    "    i = 0\n",
+    "    for batch in datagen.flow(x, batch_size=1, save_to_dir=save_to_dir, save_prefix=prefix, save_format='jpeg'):\n",
+    "        i += 1\n",
+    "        if i >= num_augmented_images:\n",
+    "            break\n",
+    "\n",
+    "# Loop over images in the source directory\n",
+    "for filename in os.listdir(source_directory):\n",
+    "    if filename.endswith(\".jpg\") or filename.endswith(\".png\"):\n",
+    "        image_path = os.path.join(source_directory, filename)\n",
+    "        augment_images(image_path, augmented_directory)\n",
+    "\n",
+    "print(\"Data augmentation completed!\")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

notebooks/mushroom_observer/dataset-mushroom-observer/api-data-downloads/currentPageIndex.txt

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