{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.12.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceType":"competition","sourceId":14774,"databundleVersionId":875431}],"dockerImageVersionId":31329,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import os\nimport pandas as pd\nimport matplotlib.pyplot as plt\n\n# 1. Recherche dynamique du dossier APTOS\ndef find_aptos_path():\n    for root, dirs, files in os.walk('/kaggle/input/'):\n        if 'train.csv' in files and 'train_images' in dirs:\n            return root\n    return None\n\nBASE_PATH = find_aptos_path()\n\nif BASE_PATH:\n    TRAIN_IMG_PATH = os.path.join(BASE_PATH, 'train_images')\n    print(f\"✅ Dataset trouvé avec succès dans : {BASE_PATH}\")\n    \n    # 2. Vérification du nombre d'images\n    nb_images = len(os.listdir(TRAIN_IMG_PATH))\n    print(f\"📸 Nombre d'images d'entraînement : {nb_images}\")\n\n    # 3. Lecture du fichier CSV\n    df_train = pd.read_csv(os.path.join(BASE_PATH, 'train.csv'))\n\n    # 4. Aperçu et Visualisation\n    display(df_train.head())\n    repartition = df_train['diagnosis'].value_counts().sort_index()\n    repartition.plot(kind='bar', title='Répartition des stades APTOS', color='teal')\n    plt.ylabel(\"Nombre d'images\")\n    plt.show()\nelse:\n    print(\"❌ Erreur critique : Impossible de trouver le dataset. Vérifie que 'Add Data' a bien été effectué.\")","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2026-04-03T19:09:15.804108Z","iopub.execute_input":"2026-04-03T19:09:15.804733Z","iopub.status.idle":"2026-04-03T19:09:15.923907Z","shell.execute_reply.started":"2026-04-03T19:09:15.804694Z","shell.execute_reply":"2026-04-03T19:09:15.923198Z"}},"outputs":[{"name":"stdout","text":"✅ Dataset trouvé avec succès dans : /kaggle/input/competitions/aptos2019-blindness-detection\n📸 Nombre d'images d'entraînement : 3662\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"        id_code  diagnosis\n0  000c1434d8d7          2\n1  001639a390f0          4\n2  0024cdab0c1e          1\n3  002c21358ce6          0\n4  005b95c28852          0","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id_code</th>\n      <th>diagnosis</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>000c1434d8d7</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>001639a390f0</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0024cdab0c1e</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>002c21358ce6</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>005b95c28852</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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\n"},"metadata":{}}],"execution_count":27},{"cell_type":"code","source":"import os\nimport pandas as pd\nimport numpy as np\nimport cv2\nfrom tensorflow.keras.preprocessing.image import ImageDataGenerator\n\n# --- 1. FONCTIONS DE BEN GRAHAM (On les garde, elles sont vitales) ---\ndef crop_image_from_gray(img, tol=7):\n    if img.ndim == 2:\n        mask = img > tol\n        return img[np.ix_(mask.any(1),mask.any(0))]\n    elif img.ndim == 3:\n        gray_img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)\n        mask = gray_img > tol\n        check_shape = img[np.ix_(mask.any(1),mask.any(0))].shape[0]\n        if (check_shape == 0):\n            return img\n        else:\n            img1 = img[np.ix_(mask.any(1),mask.any(0))]\n            return img1\n\ndef ben_graham_preprocessing(img):\n    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n    img = crop_image_from_gray(img)\n    img = cv2.resize(img, (224, 224))\n    img = cv2.addWeighted(img, 4, cv2.GaussianBlur(img, (0,0), 30), -4, 128)\n    return img\n\n# --- 2. CONFIGURATION DE LA DATA AUGMENTATION INTENSIVE ---\ntrain_datagen = ImageDataGenerator(\n    preprocessing_function=ben_graham_preprocessing,\n    validation_split=0.2,\n    rotation_range=30,\n    width_shift_range=0.1,\n    height_shift_range=0.1,\n    shear_range=0.1,\n    zoom_range=0.2,\n    horizontal_flip=True,\n    vertical_flip=True,\n    brightness_range=[0.8, 1.2],\n    fill_mode='constant', cval=0\n)\n\nval_datagen = ImageDataGenerator(\n    preprocessing_function=ben_graham_preprocessing,\n    validation_split=0.2\n)\n\n# --- 3. PRÉPARATION DU DATAFRAME ---\n# 1. On s'assure que le diagnostic est bien du texte\ndf_train['diagnosis'] = df_train['diagnosis'].astype(str)\n\n# 2. 🚨 LA CORRECTION EST ICI : On ajoute '.png' s'il n'y est pas déjà\ndef append_ext(fn):\n    return fn + \".png\" if not str(fn).endswith('.png') else fn\n\ndf_train['id_code'] = df_train['id_code'].apply(append_ext)\n\n\n# --- 4. CRÉATION DES GÉNÉRATEURS ---\ntrain_generator = train_datagen.flow_from_dataframe(\n    dataframe=df_train,\n    directory=os.path.join(BASE_PATH, 'train_images'),\n    x_col=\"id_code\",\n    y_col=\"diagnosis\",\n    subset=\"training\",\n    batch_size=32,\n    seed=42,\n    shuffle=True,\n    class_mode=\"categorical\",\n    target_size=(224, 224),\n    color_mode=\"rgb\"\n)\n\nval_generator = val_datagen.flow_from_dataframe(\n    dataframe=df_train,\n    directory=os.path.join(BASE_PATH, 'train_images'),\n    x_col=\"id_code\",\n    y_col=\"diagnosis\",\n    subset=\"validation\",\n    batch_size=32,\n    seed=42,\n    shuffle=False,\n    class_mode=\"categorical\",\n    target_size=(224, 224),\n    color_mode=\"rgb\"\n)\n\nprint(\"\\n✅ Générateurs mis à jour avec Data Augmentation intensive ! Tu peux relancer l'entraînement.\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T19:09:21.580623Z","iopub.execute_input":"2026-04-03T19:09:21.581371Z","iopub.status.idle":"2026-04-03T19:09:24.50456Z","shell.execute_reply.started":"2026-04-03T19:09:21.581339Z","shell.execute_reply":"2026-04-03T19:09:24.50398Z"}},"outputs":[{"name":"stdout","text":"Found 2930 validated image filenames belonging to 5 classes.\nFound 732 validated image filenames belonging to 5 classes.\n\n✅ Générateurs mis à jour avec Data Augmentation intensive ! Tu peux relancer l'entraînement.\n","output_type":"stream"}],"execution_count":28},{"cell_type":"code","source":"import tensorflow as tf\nfrom tensorflow.keras import layers, models\nfrom sklearn.utils import class_weight\nimport numpy as np\n\n# --- 1. CALCUL DES POIDS ---\ny_train_ints = train_generator.classes\nweights = class_weight.compute_class_weight(\n    class_weight='balanced',\n    classes=np.unique(y_train_ints),\n    y=y_train_ints\n)\nclass_weights = dict(enumerate(weights))\n\n# --- 2. CONSTRUCTION DU MODÈLE (CORRECTEMENT GELÉ) ---\ndef build_model():\n    # LE CORPS : MobileNetV3 (Extracteur de caractéristiques)\n    base_model = tf.keras.applications.MobileNetV3Large(\n        input_shape=(224, 224, 3),\n        include_top=False, # On enlève l'ancienne tête\n        weights='imagenet',\n        pooling='avg'\n    )\n    \n    # 🛑 L'ÉTAPE CRUCIALE : ON GÈLE LE CORPS\n    base_model.trainable = False \n\n    # LA TÊTE : Notre nouveau classifieur\n    model = models.Sequential([\n        base_model,\n        layers.Dropout(0.5), # J'ai augmenté le Dropout à 0.5 pour encore plus de robustesse\n        layers.Dense(5, activation='softmax') # 5 classes (0 à 4)\n    ])\n\n    model.compile(\n        optimizer=tf.keras.optimizers.Adam(learning_rate=0.001), # On peut aller un peu plus vite car seule la tête s'entraîne\n        loss='categorical_crossentropy',\n        metrics=['accuracy', tf.keras.metrics.AUC()]\n    )\n    \n    return model\n\nmodel = build_model()\nmodel.summary()\nprint(\"\\n✅ Modèle reconstruit avec le corps gelé ! Prêt pour l'entraînement de la tête.\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T00:48:48.363738Z","iopub.execute_input":"2026-04-03T00:48:48.364189Z","iopub.status.idle":"2026-04-03T00:48:49.211273Z","shell.execute_reply.started":"2026-04-03T00:48:48.36416Z","shell.execute_reply":"2026-04-03T00:48:49.210484Z"}},"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"sequential_1\"\u001b[0m\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_1\"</span>\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ MobileNetV3Large (\u001b[38;5;33mFunctional\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)            │     \u001b[38;5;34m2,996,352\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m)              │         \u001b[38;5;34m4,805\u001b[0m │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n│ MobileNetV3Large (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Functional</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,996,352</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>)              │         <span style=\"color: #00af00; text-decoration-color: #00af00\">4,805</span> │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m3,001,157\u001b[0m (11.45 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">3,001,157</span> (11.45 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m4,805\u001b[0m (18.77 KB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">4,805</span> (18.77 KB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,996,352\u001b[0m (11.43 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,996,352</span> (11.43 MB)\n</pre>\n"},"metadata":{}},{"name":"stdout","text":"\n✅ Modèle reconstruit avec le corps gelé ! Prêt pour l'entraînement de la tête.\n","output_type":"stream"}],"execution_count":16},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n\n# 1. Configuration des \"Gardiens\" de l'entraînement\n# Sauvegarde le meilleur modèle au format .keras (format moderne de TensorFlow)\ncheckpoint = ModelCheckpoint(\n    'best_model_aptos.keras',\n    monitor='val_loss',\n    save_best_only=True,\n    verbose=1\n)\n\n# Arrête l'entraînement si la perte ne diminue plus pendant 5 époques\nearly_stop = EarlyStopping(\n    monitor='val_loss',\n    patience=5,\n    restore_best_weights=True\n)\n\n# Réduit la vitesse d'apprentissage si le modèle stagne (pour être plus précis à la fin)\nreduce_lr = ReduceLROnPlateau(\n    monitor='val_loss',\n    factor=0.2,\n    patience=3,\n    min_lr=1e-6,\n    verbose=1\n)\n\n# 2. Lancement de l'entraînement\nprint(\"🚀 Décollage de l'entraînement sur GPU...\")\nhistory = model.fit(\n    train_generator,\n    epochs=15, # 15 époques suffisent pour un bon début avec MobileNet\n    validation_data=val_generator,\n    class_weight=class_weights, # On utilise les poids calculés en Cellule 3\n    callbacks=[checkpoint, early_stop, reduce_lr],\n    verbose=1\n)\n\nprint(\"\\n✅ Entraînement terminé !\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T01:01:33.785467Z","iopub.execute_input":"2026-04-03T01:01:33.78617Z","iopub.status.idle":"2026-04-03T02:44:41.052031Z","shell.execute_reply.started":"2026-04-03T01:01:33.786139Z","shell.execute_reply":"2026-04-03T02:44:41.05117Z"}},"outputs":[{"name":"stdout","text":"🚀 Décollage de l'entraînement sur GPU...\nEpoch 1/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6069 - auc_3: 0.8623 - loss: 1.3289\nEpoch 1: val_loss improved from inf to 0.86816, saving model to best_model_aptos.keras\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m411s\u001b[0m 4s/step - accuracy: 0.6071 - auc_3: 0.8624 - loss: 1.3288 - val_accuracy: 0.6189 - val_auc_3: 0.9008 - val_loss: 0.8682 - learning_rate: 0.0010\nEpoch 2/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.5910 - auc_3: 0.8687 - loss: 1.2763\nEpoch 2: val_loss improved from 0.86816 to 0.77312, saving model to best_model_aptos.keras\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m403s\u001b[0m 4s/step - accuracy: 0.5912 - auc_3: 0.8687 - loss: 1.2763 - val_accuracy: 0.6708 - val_auc_3: 0.9241 - val_loss: 0.7731 - learning_rate: 0.0010\nEpoch 3/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3s/step - accuracy: 0.6188 - auc_3: 0.8878 - loss: 1.2225\nEpoch 3: val_loss did not improve from 0.77312\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m407s\u001b[0m 4s/step - accuracy: 0.6188 - auc_3: 0.8878 - loss: 1.2223 - val_accuracy: 0.6093 - val_auc_3: 0.8974 - val_loss: 0.8874 - learning_rate: 0.0010\nEpoch 4/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6170 - auc_3: 0.8850 - loss: 1.1889\nEpoch 4: val_loss did not improve from 0.77312\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m415s\u001b[0m 5s/step - accuracy: 0.6171 - auc_3: 0.8851 - loss: 1.1885 - val_accuracy: 0.6489 - val_auc_3: 0.9088 - val_loss: 0.8322 - learning_rate: 0.0010\nEpoch 5/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6528 - auc_3: 0.9038 - loss: 1.0988\nEpoch 5: val_loss did not improve from 0.77312\n\nEpoch 5: ReduceLROnPlateau reducing learning rate to 0.00020000000949949026.\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m413s\u001b[0m 5s/step - accuracy: 0.6528 - auc_3: 0.9038 - loss: 1.0987 - val_accuracy: 0.6721 - val_auc_3: 0.9223 - val_loss: 0.7765 - learning_rate: 0.0010\nEpoch 6/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6596 - auc_3: 0.9084 - loss: 1.1257\nEpoch 6: val_loss did not improve from 0.77312\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m413s\u001b[0m 5s/step - accuracy: 0.6597 - auc_3: 0.9085 - loss: 1.1252 - val_accuracy: 0.6571 - val_auc_3: 0.9195 - val_loss: 0.7919 - learning_rate: 2.0000e-04\nEpoch 7/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6765 - auc_3: 0.9159 - loss: 1.0389\nEpoch 7: val_loss improved from 0.77312 to 0.75879, saving model to best_model_aptos.keras\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m415s\u001b[0m 5s/step - accuracy: 0.6765 - auc_3: 0.9159 - loss: 1.0391 - val_accuracy: 0.6790 - val_auc_3: 0.9269 - val_loss: 0.7588 - learning_rate: 2.0000e-04\nEpoch 8/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6643 - auc_3: 0.9126 - loss: 1.0685\nEpoch 8: val_loss did not improve from 0.75879\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m412s\u001b[0m 4s/step - accuracy: 0.6643 - auc_3: 0.9126 - loss: 1.0683 - val_accuracy: 0.6544 - val_auc_3: 0.9201 - val_loss: 0.7873 - learning_rate: 2.0000e-04\nEpoch 9/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6647 - auc_3: 0.9136 - loss: 1.0739\nEpoch 9: val_loss did not improve from 0.75879\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m416s\u001b[0m 5s/step - accuracy: 0.6647 - auc_3: 0.9136 - loss: 1.0738 - val_accuracy: 0.6694 - val_auc_3: 0.9223 - val_loss: 0.7769 - learning_rate: 2.0000e-04\nEpoch 10/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6522 - auc_3: 0.9089 - loss: 1.0789\nEpoch 10: val_loss improved from 0.75879 to 0.73140, saving model to best_model_aptos.keras\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m410s\u001b[0m 4s/step - accuracy: 0.6524 - auc_3: 0.9089 - loss: 1.0789 - val_accuracy: 0.7158 - val_auc_3: 0.9339 - val_loss: 0.7314 - learning_rate: 2.0000e-04\nEpoch 11/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.7048 - auc_3: 0.9245 - loss: 0.9599\nEpoch 11: val_loss did not improve from 0.73140\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m408s\u001b[0m 4s/step - accuracy: 0.7046 - auc_3: 0.9244 - loss: 0.9608 - val_accuracy: 0.7104 - val_auc_3: 0.9295 - val_loss: 0.7489 - learning_rate: 2.0000e-04\nEpoch 12/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6666 - auc_3: 0.9138 - loss: 1.0114\nEpoch 12: val_loss did not improve from 0.73140\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m411s\u001b[0m 4s/step - accuracy: 0.6666 - auc_3: 0.9138 - loss: 1.0115 - val_accuracy: 0.6913 - val_auc_3: 0.9284 - val_loss: 0.7511 - learning_rate: 2.0000e-04\nEpoch 13/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6855 - auc_3: 0.9250 - loss: 0.9951\nEpoch 13: val_loss did not improve from 0.73140\n\nEpoch 13: ReduceLROnPlateau reducing learning rate to 4.0000001899898055e-05.\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m412s\u001b[0m 4s/step - accuracy: 0.6853 - auc_3: 0.9249 - loss: 0.9955 - val_accuracy: 0.6694 - val_auc_3: 0.9252 - val_loss: 0.7647 - learning_rate: 2.0000e-04\nEpoch 14/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6605 - auc_3: 0.9126 - loss: 1.0797\nEpoch 14: val_loss did not improve from 0.73140\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m408s\u001b[0m 4s/step - accuracy: 0.6607 - auc_3: 0.9127 - loss: 1.0790 - val_accuracy: 0.6926 - val_auc_3: 0.9287 - val_loss: 0.7493 - learning_rate: 4.0000e-05\nEpoch 15/15\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.6834 - auc_3: 0.9184 - loss: 1.0440\nEpoch 15: val_loss did not improve from 0.73140\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m426s\u001b[0m 5s/step - accuracy: 0.6834 - auc_3: 0.9184 - loss: 1.0441 - val_accuracy: 0.6872 - val_auc_3: 0.9274 - val_loss: 0.7551 - learning_rate: 4.0000e-05\n\n✅ Entraînement terminé !\n","output_type":"stream"}],"execution_count":18},{"cell_type":"code","source":"\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom sklearn.metrics import confusion_matrix, classification_report\n\n# 1. Prédire sur les données de validation\n# Le générateur doit avoir shuffle=False pour que les labels correspondent\nval_generator.reset()\ny_pred_probs = model.predict(val_generator)\ny_pred = np.argmax(y_pred_probs, axis=1)\ny_true = val_generator.classes\n\n# 2. Noms des stades APTOS\nclass_names = ['Sain', 'Léger', 'Modéré', 'Sévère', 'Proliférante']\n\n# 3. Calcul de la matrice\ncm = confusion_matrix(y_true, y_pred)\n\n# 4. Affichage visuel\nplt.figure(figsize=(10, 8))\nsns.heatmap(cm, annot=True, fmt='d', cmap='Greens', \n            xticklabels=class_names, yticklabels=class_names)\nplt.title('Matrice de Confusion : Performance Finale du Modèle')\nplt.ylabel('Diagnostic Réel (Médecin)')\nplt.xlabel('Diagnostic Prédit (IA)')\nplt.show()\n\n# 5. Rapport détaillé (Précision, Rappel, F1-Score)\nprint(\"\\n--- Rapport de Classification ---\")\nprint(classification_report(y_true, y_pred, target_names=class_names))","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T02:54:06.960593Z","iopub.execute_input":"2026-04-03T02:54:06.960909Z","iopub.status.idle":"2026-04-03T02:55:44.775187Z","shell.execute_reply.started":"2026-04-03T02:54:06.960879Z","shell.execute_reply":"2026-04-03T02:55:44.77452Z"}},"outputs":[{"name":"stdout","text":"\u001b[1m23/23\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m89s\u001b[0m 4s/step\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x800 with 2 Axes>","image/png":"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\n"},"metadata":{}},{"name":"stdout","text":"\n--- Rapport de Classification ---\n              precision    recall  f1-score   support\n\n        Sain       0.93      0.96      0.94       337\n       Léger       0.47      0.57      0.51        77\n      Modéré       0.71      0.52      0.60       221\n      Sévère       0.28      0.34      0.31        38\nProliférante       0.36      0.49      0.41        59\n\n    accuracy                           0.72       732\n   macro avg       0.55      0.58      0.56       732\nweighted avg       0.73      0.72      0.72       732\n\n","output_type":"stream"}],"execution_count":19},{"cell_type":"code","source":"from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n\n# Configuration des gardes-fous\ncallbacks = [\n    # 1. Sauvegarde le meilleur modèle (celui avec la plus petite erreur de validation)\n    ModelCheckpoint(\n        'best_model_aptos_finetuned.keras', \n        save_best_only=True, \n        monitor='val_loss',\n        mode='min'\n    ),\n    \n    # 2. Arrête l'entraînement si le modèle n'apprend plus rien pendant 4 époques\n    EarlyStopping(\n        monitor='val_loss', \n        patience=4, \n        restore_best_weights=True\n    ),\n    \n    # 3. Réduit encore le learning rate si on stagne\n    ReduceLROnPlateau(\n        monitor='val_loss', \n        factor=0.2, \n        patience=2, \n        min_lr=1e-7\n    )\n]\n\nprint(\"✅ Callbacks configurés et prêts !\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T17:03:39.35663Z","iopub.execute_input":"2026-04-03T17:03:39.357601Z","iopub.status.idle":"2026-04-03T17:04:03.185928Z","shell.execute_reply.started":"2026-04-03T17:03:39.357548Z","shell.execute_reply":"2026-04-03T17:04:03.185144Z"}},"outputs":[{"name":"stderr","text":"2026-04-03 17:03:41.282852: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\nWARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nE0000 00:00:1775235821.502554      55 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\nE0000 00:00:1775235821.564133      55 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\nW0000 00:00:1775235822.101863      55 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\nW0000 00:00:1775235822.101908      55 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\nW0000 00:00:1775235822.101911      55 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\nW0000 00:00:1775235822.101914      55 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n","output_type":"stream"},{"name":"stdout","text":"✅ Callbacks configurés et prêts !\n","output_type":"stream"}],"execution_count":2},{"cell_type":"code","source":"import tensorflow as tf\nimport os\n\nmodel_path = '/kaggle/working/best_model_aptos.keras'\n\nif os.path.exists(model_path):\n    print(\"✅ Fichier détecté physiquement.\")\n    model = tf.keras.models.load_model(model_path)\n    print(\"✅ Modèle chargé avec succès ! On reprend le fine-tuning.\")\nelse:\n    # Si Kaggle fait encore des siennes, on liste les fichiers pour voir l'erreur\n    print(\"❌ Fichier non trouvé via le chemin direct. Contenu du dossier :\")\n    print(os.listdir('/kaggle/working/'))\n\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T17:38:53.538161Z","iopub.execute_input":"2026-04-03T17:38:53.538474Z","iopub.status.idle":"2026-04-03T17:38:53.5436Z","shell.execute_reply.started":"2026-04-03T17:38:53.538444Z","shell.execute_reply":"2026-04-03T17:38:53.542976Z"}},"outputs":[{"name":"stdout","text":"❌ Fichier non trouvé via le chemin direct. Contenu du dossier :\n['.virtual_documents']\n","output_type":"stream"}],"execution_count":10},{"cell_type":"code","source":"import gdown\n\n# L'ID extrait de ton lien de partage\nfile_id = '1O4r6PecrlNt1zWixCYYTAaTr6Wlhh_no'\nurl = f'https://drive.google.com/uc?id={file_id}'\n\noutput = 'best_model_aptos.keras'\n\n# Téléchargement direct\ngdown.download(url, output, quiet=False)\n\nprint(\"\\n✅ Modèle récupéré avec succès depuis Google Drive !\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T17:53:16.668336Z","iopub.execute_input":"2026-04-03T17:53:16.668646Z","iopub.status.idle":"2026-04-03T17:53:18.858664Z","shell.execute_reply.started":"2026-04-03T17:53:16.668618Z","shell.execute_reply":"2026-04-03T17:53:18.858008Z"}},"outputs":[{"name":"stderr","text":"Downloading...\nFrom: https://drive.google.com/uc?id=1O4r6PecrlNt1zWixCYYTAaTr6Wlhh_no\nTo: /kaggle/working/best_model_aptos.keras\n100%|██████████| 12.7M/12.7M [00:00<00:00, 55.1MB/s]","output_type":"stream"},{"name":"stdout","text":"\n✅ Modèle récupéré avec succès depuis Google Drive !\n","output_type":"stream"},{"name":"stderr","text":"\n","output_type":"stream"}],"execution_count":12},{"cell_type":"code","source":"import tensorflow as tf\nmodel = tf.keras.models.load_model('best_model_aptos.keras')\nprint(\"✅ Modèle chargé en mémoire.\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T17:53:40.127349Z","iopub.execute_input":"2026-04-03T17:53:40.128295Z","iopub.status.idle":"2026-04-03T17:53:44.262733Z","shell.execute_reply.started":"2026-04-03T17:53:40.128265Z","shell.execute_reply":"2026-04-03T17:53:44.261994Z"}},"outputs":[{"name":"stderr","text":"I0000 00:00:1775238821.605814      55 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13757 MB memory:  -> device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5\nI0000 00:00:1775238821.612245      55 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 13757 MB memory:  -> device: 1, name: Tesla T4, pci bus id: 0000:00:05.0, compute capability: 7.5\n","output_type":"stream"},{"name":"stdout","text":"✅ Modèle chargé en mémoire.\n","output_type":"stream"}],"execution_count":13},{"cell_type":"code","source":"from sklearn.utils import class_weight\nimport numpy as np\n\n# 1. On récupère les étiquettes d'entraînement\ny_train_ints = train_generator.classes\n\n# 2. Calcul automatique des poids pour équilibrer l'importance de chaque classe\n# Cela donne plus de force aux stades 3 et 4 qui sont moins nombreux\nweights = class_weight.compute_class_weight(\n    class_weight='balanced',\n    classes=np.unique(y_train_ints),\n    y=y_train_ints\n)\n\n# 3. Conversion en dictionnaire pour Keras\nclass_weights = dict(enumerate(weights))\n\nprint(\"✅ Poids de classe calculés avec succès :\")\nfor i, w in class_weights.items():\n    print(f\"   Stade {i} : {w:.2f}\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T17:55:16.9488Z","iopub.execute_input":"2026-04-03T17:55:16.949108Z","iopub.status.idle":"2026-04-03T17:55:16.956571Z","shell.execute_reply.started":"2026-04-03T17:55:16.949082Z","shell.execute_reply":"2026-04-03T17:55:16.955827Z"}},"outputs":[{"name":"stdout","text":"✅ Poids de classe calculés avec succès :\n   Stade 0 : 0.40\n   Stade 1 : 2.00\n   Stade 2 : 0.75\n   Stade 3 : 3.78\n   Stade 4 : 2.48\n","output_type":"stream"}],"execution_count":22},{"cell_type":"code","source":"from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n\n# Configuration des gardes-fous pour la phase finale\ncallbacks = [\n    # 1. Sauvegarde le meilleur modèle du fine-tuning\n    ModelCheckpoint(\n        'best_model_aptos_finetuned.keras', \n        save_best_only=True, \n        monitor='val_loss',\n        mode='min',\n        verbose=1\n    ),\n    \n    # 2. Arrête si le modèle n'apprend plus rien pendant 4 époques\n    EarlyStopping(\n        monitor='val_loss', \n        patience=4, \n        restore_best_weights=True,\n        verbose=1\n    ),\n    \n    # 3. Réduit encore le learning rate si on stagne (pour être ultra précis)\n    ReduceLROnPlateau(\n        monitor='val_loss', \n        factor=0.2, \n        patience=2, \n        min_lr=1e-7,\n        verbose=1\n    )\n]\n\nprint(\"✅ Callbacks configurés et prêts pour le Fine-Tuning !\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T17:58:00.25832Z","iopub.execute_input":"2026-04-03T17:58:00.258981Z","iopub.status.idle":"2026-04-03T17:58:00.266618Z","shell.execute_reply.started":"2026-04-03T17:58:00.25895Z","shell.execute_reply":"2026-04-03T17:58:00.265967Z"}},"outputs":[{"name":"stdout","text":"✅ Callbacks configurés et prêts pour le Fine-Tuning !\n","output_type":"stream"}],"execution_count":25},{"cell_type":"code","source":"import tensorflow as tf\n\n# 1. On dégèle l'intégralité du modèle (MobileNetV3 + notre tête)\nmodel.layers[0].trainable = True\n\n# 2. On baisse le taux d'apprentissage (TRÈS IMPORTANT)\n# On utilise 1e-5 pour ajuster les poids très délicatement\noptimizer = tf.keras.optimizers.Adam(learning_rate=1e-5) \n\nmodel.compile(\n    optimizer=optimizer,\n    loss='categorical_crossentropy',\n    metrics=['accuracy', tf.keras.metrics.AUC(name='auc')]\n)\n\n# 3. Relancement de l'entraînement pour la finition\nprint(\"🚀 Lancement du Fine-Tuning (Phase finale)...\")\nhistory_finetuning = model.fit(\n    train_generator,\n    epochs=10, # 10 époques suffisent généralement pour cette phase\n    validation_data=val_generator,\n    class_weight=class_weights, \n    callbacks=callbacks # Utilise les callbacks (EarlyStopping, etc.) configurés plus haut\n)\n\nprint(\"\\n✅ Fine-tuning terminé ! Ton modèle est maintenant optimisé.\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T17:58:05.644419Z","iopub.execute_input":"2026-04-03T17:58:05.644742Z"}},"outputs":[{"name":"stdout","text":"🚀 Lancement du Fine-Tuning (Phase finale)...\n","output_type":"stream"},{"name":"stderr","text":"/usr/local/lib/python3.12/dist-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\n","output_type":"stream"},{"name":"stdout","text":"Epoch 1/10\n","output_type":"stream"},{"name":"stderr","text":"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nI0000 00:00:1775239124.278985     161 service.cc:152] XLA service 0x7c021c002ae0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\nI0000 00:00:1775239124.279029     161 service.cc:160]   StreamExecutor device (0): Tesla T4, Compute Capability 7.5\nI0000 00:00:1775239124.279035     161 service.cc:160]   StreamExecutor device (1): Tesla T4, Compute Capability 7.5\nI0000 00:00:1775239128.736048     161 cuda_dnn.cc:529] Loaded cuDNN version 91002\n2026-04-03 17:58:58.257666: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 17:58:58.398963: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 17:58:58.734418: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 17:58:58.872840: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 17:58:59.258084: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 17:58:59.409559: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 17:59:03.724591: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 17:59:03.865689: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\nI0000 00:00:1775239159.776343     161 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m25/92\u001b[0m \u001b[32m━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━\u001b[0m \u001b[1m5:36\u001b[0m 5s/step - accuracy: 0.4919 - auc: 0.7705 - loss: 2.3224","output_type":"stream"},{"name":"stderr","text":"2026-04-03 18:01:36.882782: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 18:01:37.018312: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 18:01:37.332953: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 18:01:37.470503: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 18:01:37.841708: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 18:01:37.985067: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 18:01:41.562811: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 18:01:41.698703: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6s/step - accuracy: 0.5079 - auc: 0.7816 - loss: 2.2049","output_type":"stream"},{"name":"stderr","text":"2026-04-03 18:10:04.026453: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 18:10:04.169842: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 18:10:04.502755: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 18:10:04.640901: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n","output_type":"stream"},{"name":"stdout","text":"\nEpoch 1: val_loss improved from inf to 0.70120, saving model to best_model_aptos_finetuned.keras\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m712s\u001b[0m 7s/step - accuracy: 0.5081 - auc: 0.7817 - loss: 2.2030 - val_accuracy: 0.7254 - val_auc: 0.9379 - val_loss: 0.7012 - learning_rate: 1.0000e-05\nEpoch 2/10\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3s/step - accuracy: 0.5467 - auc: 0.8252 - loss: 1.7236\nEpoch 2: val_loss did not improve from 0.70120\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m398s\u001b[0m 4s/step - accuracy: 0.5468 - auc: 0.8253 - loss: 1.7224 - val_accuracy: 0.7131 - val_auc: 0.9338 - val_loss: 0.7190 - learning_rate: 1.0000e-05\nEpoch 3/10\n\u001b[1m17/92\u001b[0m \u001b[32m━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m4:15\u001b[0m 3s/step - accuracy: 0.5998 - auc: 0.8689 - loss: 1.2207","output_type":"stream"}],"execution_count":null},{"cell_type":"code","source":"import tensorflow as tf\n# On charge la version qui a déjà commencé le fine-tuning\nmodel = tf.keras.models.load_model('/kaggle/working/best_model_aptos_finetuned.keras')\nprint(\"✅ Modèle finetuné chargé ! On gagne du temps.\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T19:11:48.320271Z","iopub.execute_input":"2026-04-03T19:11:48.320929Z","iopub.status.idle":"2026-04-03T19:11:49.791163Z","shell.execute_reply.started":"2026-04-03T19:11:48.320898Z","shell.execute_reply":"2026-04-03T19:11:49.790517Z"}},"outputs":[{"name":"stdout","text":"✅ Modèle finetuné chargé ! On gagne du temps.\n","output_type":"stream"}],"execution_count":29},{"cell_type":"code","source":"from sklearn.metrics import confusion_matrix, classification_report\nimport seaborn as sns\nimport numpy as np\n\n# 1. Prédictions sur la validation\nval_generator.reset()\ny_pred = model.predict(val_generator)\ny_pred_classes = np.argmax(y_pred, axis=1)\ny_true = val_generator.classes\n\n# 2. Affichage\nplt.figure(figsize=(10, 8))\nsns.heatmap(confusion_matrix(y_true, y_pred_classes), annot=True, fmt='d', cmap='Greens')\nplt.title('Nouvelle Matrice de Confusion (Après Fine-Tuning)')\nplt.ylabel('Réel')\nplt.xlabel('Prédit')\nplt.show()\n\nprint(classification_report(y_true, y_pred_classes))","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T19:12:02.865035Z","iopub.execute_input":"2026-04-03T19:12:02.865324Z","iopub.status.idle":"2026-04-03T19:13:35.590398Z","shell.execute_reply.started":"2026-04-03T19:12:02.865298Z","shell.execute_reply":"2026-04-03T19:13:35.589631Z"}},"outputs":[{"name":"stderr","text":"/usr/local/lib/python3.12/dist-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m23/23\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m85s\u001b[0m 3s/step\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x800 with 2 Axes>","image/png":"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\n"},"metadata":{}},{"name":"stdout","text":"              precision    recall  f1-score   support\n\n           0       0.92      0.99      0.95       337\n           1       0.43      0.56      0.49        77\n           2       0.72      0.53      0.61       221\n           3       0.27      0.32      0.29        38\n           4       0.39      0.42      0.41        59\n\n    accuracy                           0.73       732\n   macro avg       0.55      0.56      0.55       732\nweighted avg       0.73      0.73      0.72       732\n\n","output_type":"stream"}],"execution_count":30},{"cell_type":"code","source":"from sklearn.utils import class_weight\nimport numpy as np\n\n# Calcul de base (comme avant)\ny_train_ints = train_generator.classes\nweights = class_weight.compute_class_weight(\n    class_weight='balanced',\n    classes=np.unique(y_train_ints),\n    y=y_train_ints\n)\nclass_weights = dict(enumerate(weights))\n\n# --- LE BOOST DU STADE 3 ---\n# On multiplie le poids du stade 3 par 1.5 pour forcer le Recall à monter\nclass_weights[3] = class_weights[3] * 1.5 \n# On peut aussi booster légèrement le stade 4 si besoin\nclass_weights[4] = class_weights[4] * 1.2\n\nprint(\"✅ Nouveaux poids avec focus sur le Stade 3 :\")\nfor i, w in class_weights.items():\n    print(f\"   Stade {i} : {w:.2f}\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T19:20:30.834616Z","iopub.execute_input":"2026-04-03T19:20:30.835574Z","iopub.status.idle":"2026-04-03T19:20:30.843007Z","shell.execute_reply.started":"2026-04-03T19:20:30.835541Z","shell.execute_reply":"2026-04-03T19:20:30.842243Z"}},"outputs":[{"name":"stdout","text":"✅ Nouveaux poids avec focus sur le Stade 3 :\n   Stade 0 : 0.40\n   Stade 1 : 2.00\n   Stade 2 : 0.75\n   Stade 3 : 5.67\n   Stade 4 : 2.98\n","output_type":"stream"}],"execution_count":31},{"cell_type":"code","source":"import tensorflow as tf\n\n# On s'assure que tout est dégelé\nmodel.layers[0].trainable = True\n\n# Learning rate ultra-faible pour de la micro-chirurgie\noptimizer = tf.keras.optimizers.Adam(learning_rate=5e-6)\n\nmodel.compile(\n    optimizer=optimizer,\n    loss='categorical_crossentropy',\n    metrics=['accuracy', tf.keras.metrics.AUC(name='auc')]\n)\n\nprint(\"🔥 Lancement du Fine-Tuning ciblé (Objectif : Recall Stade 3)...\")\nhistory_focus = model.fit(\n    train_generator,\n    epochs=5, # 5 époques suffisent pour ce réglage fin\n    validation_data=val_generator,\n    class_weight=class_weights,\n    callbacks=callbacks # Tes callbacks vont sauvegarder si le val_loss s'améliore\n)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T19:20:54.825843Z","iopub.execute_input":"2026-04-03T19:20:54.826158Z","iopub.status.idle":"2026-04-03T19:55:20.219856Z","shell.execute_reply.started":"2026-04-03T19:20:54.826129Z","shell.execute_reply":"2026-04-03T19:55:20.219171Z"}},"outputs":[{"name":"stdout","text":"🔥 Lancement du Fine-Tuning ciblé (Objectif : Recall Stade 3)...\n","output_type":"stream"},{"name":"stderr","text":"/usr/local/lib/python3.12/dist-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n  self._warn_if_super_not_called()\n","output_type":"stream"},{"name":"stdout","text":"Epoch 1/5\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.5339 - auc: 0.8204 - loss: 2.0086\nEpoch 1: val_loss did not improve from 0.70120\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m472s\u001b[0m 5s/step - accuracy: 0.5339 - auc: 0.8204 - loss: 2.0074 - val_accuracy: 0.7213 - val_auc: 0.9345 - val_loss: 0.7149 - learning_rate: 5.0000e-06\nEpoch 2/5\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3s/step - accuracy: 0.5421 - auc: 0.8324 - loss: 1.7842\nEpoch 2: val_loss did not improve from 0.70120\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m398s\u001b[0m 4s/step - accuracy: 0.5423 - auc: 0.8325 - loss: 1.7831 - val_accuracy: 0.6995 - val_auc: 0.9313 - val_loss: 0.7329 - learning_rate: 5.0000e-06\nEpoch 3/5\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3s/step - accuracy: 0.5793 - auc: 0.8539 - loss: 1.5458\nEpoch 3: val_loss did not improve from 0.70120\n\nEpoch 3: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-07.\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m396s\u001b[0m 4s/step - accuracy: 0.5793 - auc: 0.8539 - loss: 1.5461 - val_accuracy: 0.6858 - val_auc: 0.9271 - val_loss: 0.7566 - learning_rate: 5.0000e-06\nEpoch 4/5\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3s/step - accuracy: 0.5730 - auc: 0.8566 - loss: 1.6018\nEpoch 4: val_loss did not improve from 0.70120\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m397s\u001b[0m 4s/step - accuracy: 0.5731 - auc: 0.8566 - loss: 1.6013 - val_accuracy: 0.6749 - val_auc: 0.9242 - val_loss: 0.7726 - learning_rate: 1.0000e-06\nEpoch 5/5\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3s/step - accuracy: 0.5849 - auc: 0.8615 - loss: 1.5363\nEpoch 5: val_loss did not improve from 0.70120\n\nEpoch 5: ReduceLROnPlateau reducing learning rate to 1.9999999949504855e-07.\n\u001b[1m92/92\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m395s\u001b[0m 4s/step - accuracy: 0.5848 - auc: 0.8614 - loss: 1.5361 - val_accuracy: 0.6667 - val_auc: 0.9212 - val_loss: 0.7885 - learning_rate: 1.0000e-06\nEpoch 5: early stopping\nRestoring model weights from the end of the best epoch: 1.\n","output_type":"stream"}],"execution_count":32},{"cell_type":"code","source":"from sklearn.metrics import confusion_matrix, classification_report\nimport seaborn as sns\nimport numpy as np\n\n# 1. Prédictions sur la validation\nval_generator.reset()\ny_pred = model.predict(val_generator)\ny_pred_classes = np.argmax(y_pred, axis=1)\ny_true = val_generator.classes\n\n# 2. Affichage\nplt.figure(figsize=(10, 8))\nsns.heatmap(confusion_matrix(y_true, y_pred_classes), annot=True, fmt='d', cmap='Greens')\nplt.title('Nouvelle Matrice de Confusion (Après Fine-Tuning)')\nplt.ylabel('Réel')\nplt.xlabel('Prédit')\nplt.show()\n\nprint(classification_report(y_true, y_pred_classes))","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T19:57:19.534826Z","iopub.execute_input":"2026-04-03T19:57:19.535134Z","iopub.status.idle":"2026-04-03T19:58:51.221657Z","shell.execute_reply.started":"2026-04-03T19:57:19.535107Z","shell.execute_reply":"2026-04-03T19:58:51.221079Z"}},"outputs":[{"name":"stdout","text":"\u001b[1m23/23\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m84s\u001b[0m 3s/step\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x800 with 2 Axes>","image/png":"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\n"},"metadata":{}},{"name":"stdout","text":"              precision    recall  f1-score   support\n\n           0       0.90      0.99      0.94       337\n           1       0.42      0.52      0.47        77\n           2       0.76      0.50      0.60       221\n           3       0.29      0.37      0.33        38\n           4       0.41      0.51      0.45        59\n\n    accuracy                           0.72       732\n   macro avg       0.56      0.58      0.56       732\nweighted avg       0.74      0.72      0.72       732\n\n","output_type":"stream"}],"execution_count":33},{"cell_type":"code","source":"from IPython.display import FileLink\nFileLink(r'best_model_aptos_finetuned.keras')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-28T21:06:16.226501Z","iopub.execute_input":"2026-04-28T21:06:16.226766Z","iopub.status.idle":"2026-04-28T21:06:16.234961Z","shell.execute_reply.started":"2026-04-28T21:06:16.226734Z","shell.execute_reply":"2026-04-28T21:06:16.2343Z"}},"outputs":[{"execution_count":1,"output_type":"execute_result","data":{"text/plain":"/kaggle/working/best_model_aptos_finetuned.keras","text/html":"Path (<tt>best_model_aptos_finetuned.keras</tt>) doesn't exist. It may still be in the process of being generated, or you may have the incorrect path."},"metadata":{}}],"execution_count":1},{"cell_type":"code","source":"import cv2\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport os\n\ndef tester_prediction(image_path):\n    # 1. Vérification du fichier\n    if not os.path.exists(image_path):\n        print(f\"❌ Erreur : L'image n'existe pas au chemin : {image_path}\")\n        return\n\n    # 2. Chargement et Prétraitement\n    img = cv2.imread(image_path)\n    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n    \n    # On utilise la fonction Ben Graham que tu as définie au début\n    try:\n        img_processed = ben_graham_preprocessing(img)\n    except NameError:\n        print(\"❌ Erreur : La fonction 'ben_graham_preprocessing' n'est pas définie. Réexécute la Cellule 2 !\")\n        return\n\n    img_final = np.expand_dims(img_processed, axis=0) \n    \n    # 3. Prédiction\n    preds = model.predict(img_final)\n    class_idx = np.argmax(preds)\n    confidence = preds[0][class_idx] * 100\n    \n    labels = [\"Sain\", \"Léger\", \"Modéré\", \"Sévère\", \"Proliférante\"]\n    \n    # 4. Affichage du résultat\n    plt.figure(figsize=(6,6))\n    plt.imshow(img_processed)\n    plt.title(f\"PRÉDICTION : {labels[class_idx]}\\nConfiance : {confidence:.2f}%\", fontsize=14, color='darkgreen')\n    plt.axis('off')\n    plt.show()\n\n# --- TEST RÉEL SUR UNE IMAGE DU DATASET ---\n# On pioche la première image du dossier de test pour voir si ça marche\ntest_folder = os.path.join(BASE_PATH, 'train_images')\npremiere_image = os.path.join(test_folder, os.listdir(test_folder)[0])\n\nprint(f\"Analyse de l'image : {premiere_image}\")\ntester_prediction(premiere_image)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-04-03T20:07:02.009398Z","iopub.execute_input":"2026-04-03T20:07:02.009894Z","iopub.status.idle":"2026-04-03T20:07:13.659583Z","shell.execute_reply.started":"2026-04-03T20:07:02.009862Z","shell.execute_reply":"2026-04-03T20:07:13.658757Z"}},"outputs":[{"name":"stdout","text":"Analyse de l'image : /kaggle/input/competitions/aptos2019-blindness-detection/train_images/ef476be214d4.png\n","output_type":"stream"},{"name":"stderr","text":"2026-04-03 20:07:09.517920: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n2026-04-03 20:07:09.652042: E external/local_xla/xla/stream_executor/cuda/cuda_timer.cc:86] Delay kernel timed out: measured time has sub-optimal accuracy. There may be a missing warmup execution, please investigate in Nsight Systems.\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 11s/step\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 600x600 with 1 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\n"},"metadata":{}}],"execution_count":60}]}