{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "6876d5cf", "metadata": {}, "outputs": [], "source": [ "from tensorflow.keras.layers import Input, Lambda, Dense, Flatten\n", "from tensorflow.keras.models import Model\n", "from tensorflow.keras.applications.vgg16 import VGG16, preprocess_input\n", "\n", "\n", "from glob import glob\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "IMAGE_SIZE = [224, 224]" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "train_dir='../fish-dataset/FishImgDataset/train'\n", "test_dir='../fish-dataset/FishImgDataset/test'\n", "val_dir='../fish-dataset/FishImgDataset/val'" ] }, { "cell_type": "code", "execution_count": 4, "id": "580e4e14", "metadata": {}, "outputs": [], "source": [ "# Define the input layer\n", "input_layer = Input(shape=IMAGE_SIZE + [3])" ] }, { "cell_type": "code", "execution_count": 5, "id": "6abf63f1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARNING:tensorflow:From c:\\Users\\kengu\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\keras\\src\\backend\\tensorflow\\core.py:219: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n", "\n" ] } ], "source": [ "# Add preprocessing layer\n", "preprocessed = Lambda(preprocess_input)(input_layer)" ] }, { "cell_type": "code", "execution_count": 6, "id": "18c27a36", "metadata": {}, "outputs": [], "source": [ "# Load VGG16 model with pretrained ImageNet weights, without top layers\n", "vgg = VGG16(input_shape=IMAGE_SIZE + [3], weights='imagenet', include_top=False)" ] }, { "cell_type": "code", "execution_count": 7, "id": "5d291e73", "metadata": {}, "outputs": [], "source": [ "# Freeze the layers so they won't be trained\n", "for layer in vgg.layers:\n", " layer.trainable = False" ] }, { "cell_type": "code", "execution_count": 8, "id": "b400a18d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "31" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# For getting number of classes\n", "folders = glob('../fish-dataset/FishImgDataset/train/*')\n", "len(folders)" ] }, { "cell_type": "code", "execution_count": 9, "id": "c1cce70c", "metadata": {}, "outputs": [], "source": [ "# Layers\n", "x = Flatten()(vgg.output)\n", "# x = Dense(1000, activation='relu')(x)\n", "prediction = Dense(len(folders), activation='softmax')(x)" ] }, { "cell_type": "code", "execution_count": 10, "id": "36084bef", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Model: \"functional\"\n",
       "
\n" ], "text/plain": [ "\u001b[1mModel: \"functional\"\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃ Layer (type)                     Output Shape                  Param # ┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ input_layer_1 (InputLayer)      │ (None, 224, 224, 3)    │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block1_conv1 (Conv2D)           │ (None, 224, 224, 64)   │         1,792 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block1_conv2 (Conv2D)           │ (None, 224, 224, 64)   │        36,928 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block1_pool (MaxPooling2D)      │ (None, 112, 112, 64)   │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block2_conv1 (Conv2D)           │ (None, 112, 112, 128)  │        73,856 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block2_conv2 (Conv2D)           │ (None, 112, 112, 128)  │       147,584 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block2_pool (MaxPooling2D)      │ (None, 56, 56, 128)    │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block3_conv1 (Conv2D)           │ (None, 56, 56, 256)    │       295,168 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block3_conv2 (Conv2D)           │ (None, 56, 56, 256)    │       590,080 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block3_conv3 (Conv2D)           │ (None, 56, 56, 256)    │       590,080 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block3_pool (MaxPooling2D)      │ (None, 28, 28, 256)    │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block4_conv1 (Conv2D)           │ (None, 28, 28, 512)    │     1,180,160 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block4_conv2 (Conv2D)           │ (None, 28, 28, 512)    │     2,359,808 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block4_conv3 (Conv2D)           │ (None, 28, 28, 512)    │     2,359,808 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block4_pool (MaxPooling2D)      │ (None, 14, 14, 512)    │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block5_conv1 (Conv2D)           │ (None, 14, 14, 512)    │     2,359,808 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block5_conv2 (Conv2D)           │ (None, 14, 14, 512)    │     2,359,808 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block5_conv3 (Conv2D)           │ (None, 14, 14, 512)    │     2,359,808 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ block5_pool (MaxPooling2D)      │ (None, 7, 7, 512)      │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ flatten (Flatten)               │ (None, 25088)          │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense (Dense)                   │ (None, 31)             │       777,759 │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "
\n" ], "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", "│ input_layer_1 (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m1,792\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m36,928\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m73,856\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m147,584\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m295,168\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m590,080\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m590,080\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m1,180,160\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,359,808\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,359,808\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block5_conv1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,359,808\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block5_conv2 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,359,808\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block5_conv3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,359,808\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ block5_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ flatten (\u001b[38;5;33mFlatten\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25088\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m31\u001b[0m) │ \u001b[38;5;34m777,759\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 Total params: 15,492,447 (59.10 MB)\n",
       "
\n" ], "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m15,492,447\u001b[0m (59.10 MB)\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 Trainable params: 777,759 (2.97 MB)\n",
       "
\n" ], "text/plain": [ "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m777,759\u001b[0m (2.97 MB)\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 Non-trainable params: 14,714,688 (56.13 MB)\n",
       "
\n" ], "text/plain": [ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m14,714,688\u001b[0m (56.13 MB)\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Model object\n", "model = Model(inputs=vgg.input, outputs=prediction)\n", "\n", "# View the structure of the model\n", "model.summary()" ] }, { "cell_type": "code", "execution_count": 11, "id": "bf8918ba", "metadata": {}, "outputs": [], "source": [ "model.compile(\n", " loss='categorical_crossentropy',\n", " optimizer='adam',\n", " metrics=['accuracy']\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "b01124ab", "metadata": {}, "outputs": [], "source": [ "from tensorflow.keras.callbacks import EarlyStopping\n", "\n", "early_stop = EarlyStopping(monitor='val_loss', patience=3, restore_best_weights=True)" ] }, { "cell_type": "code", "execution_count": 13, "id": "3a032b23", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Found 8791 images belonging to 31 classes.\n", "Found 2751 images belonging to 31 classes.\n", "Found 1760 images belonging to 31 classes.\n" ] } ], "source": [ "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", "\n", "train_datagen = ImageDataGenerator(rescale = 1./255,\n", " shear_range = 0.2,\n", " zoom_range = 0.2,\n", " horizontal_flip = True)\n", "\n", "test_datagen = ImageDataGenerator(rescale = 1./255)\n", "val_datagen = ImageDataGenerator(rescale = 1./255)\n", "\n", "training_set = train_datagen.flow_from_directory(train_dir,\n", " target_size = (224, 224),\n", " batch_size = 32,\n", " class_mode = 'categorical')\n", "val_set= val_datagen.flow_from_directory(val_dir,\n", " target_size = (224, 224),\n", " batch_size = 32,\n", " class_mode = 'categorical')\n", "\n", "test_set = test_datagen.flow_from_directory(test_dir,\n", " target_size = (224, 224),\n", " batch_size = 32,\n", " class_mode = 'categorical')" ] }, { "cell_type": "code", "execution_count": 14, "id": "d19157b3", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "c:\\Users\\kengu\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-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" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/10\n", "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3s/step - accuracy: 0.4034 - loss: 2.5734" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1253s\u001b[0m 5s/step - accuracy: 0.4039 - loss: 2.5708 - val_accuracy: 0.7354 - val_loss: 0.9202\n", "Epoch 2/10\n", "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.7362 - loss: 0.9456" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1305s\u001b[0m 5s/step - accuracy: 0.7362 - loss: 0.9456 - val_accuracy: 0.8313 - val_loss: 0.6029\n", "Epoch 3/10\n", "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.8167 - loss: 0.6451" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1322s\u001b[0m 5s/step - accuracy: 0.8167 - loss: 0.6451 - val_accuracy: 0.8771 - val_loss: 0.4544\n", "Epoch 4/10\n", "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1360s\u001b[0m 5s/step - accuracy: 0.8573 - loss: 0.4972 - val_accuracy: 0.8644 - val_loss: 0.5038\n", "Epoch 5/10\n", "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.8587 - loss: 0.4766" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1266s\u001b[0m 5s/step - accuracy: 0.8588 - loss: 0.4765 - val_accuracy: 0.9008 - val_loss: 0.3746\n", "Epoch 6/10\n", "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.8818 - loss: 0.3935" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1279s\u001b[0m 5s/step - accuracy: 0.8818 - loss: 0.3935 - val_accuracy: 0.9335 - val_loss: 0.2650\n", "Epoch 7/10\n", "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3s/step - accuracy: 0.9117 - loss: 0.2993" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1246s\u001b[0m 5s/step - accuracy: 0.9117 - loss: 0.2994 - val_accuracy: 0.9397 - val_loss: 0.2450\n", "Epoch 8/10\n", "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1188s\u001b[0m 4s/step - accuracy: 0.9248 - loss: 0.2489 - val_accuracy: 0.9331 - val_loss: 0.2535\n", "Epoch 9/10\n", "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4s/step - accuracy: 0.9244 - loss: 0.2411" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1290s\u001b[0m 5s/step - accuracy: 0.9244 - loss: 0.2412 - val_accuracy: 0.9447 - val_loss: 0.2200\n", "Epoch 10/10\n", "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3s/step - accuracy: 0.9304 - loss: 0.2308" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m275/275\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1120s\u001b[0m 4s/step - accuracy: 0.9304 - loss: 0.2309 - val_accuracy: 0.9447 - val_loss: 0.2185\n" ] } ], "source": [ "# Model Training\n", "FishModel = model.fit(\n", " training_set,\n", " validation_data=val_set,\n", " epochs=10,\n", " steps_per_epoch=len(training_set),\n", " validation_steps=len(val_set),\n", " callbacks=[early_stop, checkpoint]\n", ")\n" ] }, { "cell_type": "code", "execution_count": 15, "id": "85ff2eb9", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# loss\n", "plt.plot(FishModel.history['loss'], label='train loss')\n", "plt.plot(FishModel.history['val_loss'], label='val loss')\n", "plt.legend()\n", "plt.show()\n", "\n", "# accuracies\n", "plt.plot(FishModel.history['accuracy'], label='train acc')\n", "plt.plot(FishModel.history['val_accuracy'], label='val acc')\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 16, "id": "74be42b0", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Test Loss: 0.33337\n", "Test Accuracy: 92.39%\n" ] } ], "source": [ "results = model.evaluate(test_set, verbose=0)\n", "\n", "print(\" Test Loss: {:.5f}\".format(results[0]))\n", "print(\"Test Accuracy: {:.2f}%\".format(results[1] * 100))" ] }, { "cell_type": "code", "execution_count": 19, "id": "567361e9", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:absl:The `save_format` argument is deprecated in Keras 3. We recommend removing this argument as it can be inferred from the file path. Received: save_format=h5\n", "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" ] } ], "source": [ "model_name = 'FishModel_VGG16.h5'\n", "model.save(model_name, save_format='h5')\n", "model.save_weights('model_weights_VGG16.weights.h5')" ] }, { "cell_type": "code", "execution_count": 20, "id": "9a528c75", "metadata": {}, "outputs": [], "source": [ "from keras.models import load_model\n", "from keras.preprocessing.image import load_img,img_to_array\n", "\n", "model1 = load_model('../src/FishModel_VGG16.h5',compile=False) " ] }, { "cell_type": "code", "execution_count": 21, "id": "25ed057f", "metadata": {}, "outputs": [], "source": [ "class_name=['Bangus', 'Big Head Carp', 'Black Spotted Barb', 'Catfish', 'Climbing Perch', 'Fourfinger Threadfin','Freshwater Eel', 'Glass Perchlet', 'Goby', 'Gold Fish', 'Gourami', 'Grass Carp', 'Green Spotted Puffer',\n", " 'Indian Carp', 'Indo-Pacific Tarpon', 'Jaguar Gapote', 'Janitor Fish', 'Knifefish', 'Long-Snouted Pipefish','Mosquito Fish', 'Mudfish', 'Mullet', 'Pangasius', 'Perch', 'Scat Fish', 'Silver Barb', 'Silver Carp',\n", " 'Silver Perch', 'Snakehead', 'Tenpounder', 'Tilapia']" ] }, { "cell_type": "code", "execution_count": 24, "id": "87280b07", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "def predict(path):\n", " img=load_img(path,target_size=(224,224,3))\n", " img=img_to_array(img)\n", " img=img/255\n", " img=np.expand_dims(img,[0])\n", " answer=model1.predict(img)\n", " print(answer)\n", " y_class = answer.argmax(axis=-1)\n", " y = \" \".join(str(x) for x in y_class)\n", " y = int(y)\n", " res = class_name[y]\n", " return res" ] }, { "cell_type": "code", "execution_count": 27, "id": "a9455da8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 266ms/step\n", "[[6.8489062e-11 2.7360988e-13 1.1199348e-03 1.7609445e-12 4.3290679e-08\n", " 7.8410663e-12 7.3144234e-12 2.7877051e-05 2.1140707e-10 1.4721349e-09\n", " 4.0774681e-09 6.2314357e-05 2.3369503e-17 2.7077724e-06 1.8213807e-07\n", " 1.0930941e-10 3.1465708e-09 6.7175991e-12 1.6768088e-16 1.2923724e-06\n", " 1.0187119e-11 1.0953486e-09 6.5635756e-12 1.0566015e-10 2.0751342e-11\n", " 2.7108044e-07 1.2190459e-14 2.1361033e-07 7.2846362e-10 1.5052283e-15\n", " 9.9878520e-01]]\n" ] }, { "data": { "text/plain": [ "'Tilapia'" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "img='../tilapia.jpg'\n", "pic=load_img(img,target_size=(224,224,3))\n", "plt.imshow(pic)\n", "predict(img)" ] } ], "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": "3.10.0" } }, "nbformat": 4, "nbformat_minor": 5 }