RPS.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[{"file_id":"11_ZEAf-BJw3EB4RlwaG_lugsgYxXRDZ_","timestamp":1722653881589}],"machine_shape":"hm","gpuType":"L4"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","source":["import os\n","from tensorflow.keras.models import Sequential\n","from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout\n","import pandas as pd\n","from PIL import Image\n","import numpy as np\n","import gdown\n","from sklearn.model_selection import train_test_split\n","import tensorflow as tf\n","from tensorflow.keras.preprocessing.image import ImageDataGenerator\n","from re import sub\n","from google.colab import drive"],"metadata":{"id":"wYymN-lyV6mG"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"61fG03UQsO0t","executionInfo":{"status":"ok","timestamp":1722011336552,"user_tz":-420,"elapsed":3169,"user":{"displayName":"Minh Phạm Tuấn","userId":"10498019973223653458"}},"outputId":"c223ee6b-91b9-403c-be25-912e22875aea"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]}]},{"cell_type":"code","source":["#parameters\n","img_height, img_width = 30, 30\n","batch_size = 32\n","data_dir = '/content/drive/My Drive/DATA/DATA_AUGMENTATION'\n","CLASS_LABEL = ['Background', 'Paper', 'Rock', 'Scissors']"],"metadata":{"id":"EtC_nfIFsbcs"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["train_datagen = ImageDataGenerator(\n","    rescale = 1./255, #scale value between 1 and 0 since pixel values in images are usually in the range [0, 255]\n","    #augmentation\n","    rotation_range = 20, #randomly rotates 20 degrees\n","    width_shift_range = 0.2, #randomly shift horizontally 20%\n","    height_shift_range = 0.2, #randomly shift vertically 20%\n","    zoom_range = 0.2, #randomly zoom out or in 20%\n","    horizontal_flip = True, #randomly flip the image\n","    fill_mode = 'nearest', #fill in case the imager is blank after roatate\n",")"],"metadata":{"id":"E7MJ73cKTq2U"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["val_datagen = ImageDataGenerator(\n","    rescale = 1./255,\n","    validation_split = 0.2,\n",")\n","#applying augmentation only on the validation data"],"metadata":{"id":"pMn72O12Uewm"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["#load trainning and validation data\n","train_generator = train_datagen.flow_from_directory(\n","#vut data vao day\n","    directory = data_dir,\n","    target_size=(img_height, img_width),\n","    batch_size=batch_size,\n","    class_mode='categorical',\n","    subset = 'training'\n",")\n","val_generator = val_datagen.flow_from_directory(\n","#vut data vao\n","    directory = data_dir,\n","    target_size=(img_height, img_width),\n","    batch_size=batch_size,\n","    class_mode='categorical',\n","    subset = 'validation'\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gZTRnA4jXlAq","executionInfo":{"status":"ok","timestamp":1722011336553,"user_tz":-420,"elapsed":3,"user":{"displayName":"Minh Phạm Tuấn","userId":"10498019973223653458"}},"outputId":"d8dc1a8c-f497-4533-ed60-4775ad323cc2"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Found 1136 images belonging to 4 classes.\n","Found 225 images belonging to 4 classes.\n"]}]},{"cell_type":"code","source":["model = Sequential([\n","    Conv2D(32, (3, 3), activation='relu', input_shape=(img_height, img_width, 3)),\n","    MaxPooling2D(pool_size=(2, 2)),\n","    Conv2D(64, (3, 3), activation='relu'),\n","    MaxPooling2D(pool_size=(2, 2)),\n","    Conv2D(128, (3, 3), activation='relu'),\n","    MaxPooling2D(pool_size=(2, 2)),\n","    Flatten(),\n","    Dense(128, activation='relu'),\n","    Dropout(0.5),\n","    Dense(4, activation='softmax')\n","])"],"metadata":{"id":"RM6QOaS2ag7C"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["model.compile(optimizer='adam',\n","              loss='categorical_crossentropy',\n","              metrics=['accuracy'])"],"metadata":{"id":"ULK4-vaReRPf"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["model.fit(\n","    train_generator,\n","    epochs=10,\n","    validation_data=val_generator\n",")"],"metadata":{"id":"L8MrLjsVffRE","executionInfo":{"status":"ok","timestamp":1722012305234,"user_tz":-420,"elapsed":33667,"user":{"displayName":"Minh Phạm Tuấn","userId":"10498019973223653458"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"4b639c0e-d6d8-449b-a134-aeeebefd1242"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/10\n","36/36 [==============================] - 5s 93ms/step - loss: 0.2111 - accuracy: 0.9340 - val_loss: 0.0711 - val_accuracy: 0.9822\n","Epoch 2/10\n","36/36 [==============================] - 3s 91ms/step - loss: 0.1467 - accuracy: 0.9533 - val_loss: 0.0856 - val_accuracy: 0.9689\n","Epoch 3/10\n","36/36 [==============================] - 3s 87ms/step - loss: 0.1507 - accuracy: 0.9604 - val_loss: 0.0530 - val_accuracy: 0.9778\n","Epoch 4/10\n","36/36 [==============================] - 3s 88ms/step - loss: 0.1127 - accuracy: 0.9639 - val_loss: 0.1218 - val_accuracy: 0.9644\n","Epoch 5/10\n","36/36 [==============================] - 3s 89ms/step - loss: 0.1136 - accuracy: 0.9621 - val_loss: 0.0591 - val_accuracy: 0.9867\n","Epoch 6/10\n","36/36 [==============================] - 3s 95ms/step - loss: 0.0818 - accuracy: 0.9736 - val_loss: 0.0614 - val_accuracy: 0.9733\n","Epoch 7/10\n","36/36 [==============================] - 3s 89ms/step - loss: 0.0887 - accuracy: 0.9665 - val_loss: 0.0199 - val_accuracy: 1.0000\n","Epoch 8/10\n","36/36 [==============================] - 3s 90ms/step - loss: 0.0812 - accuracy: 0.9701 - val_loss: 0.0265 - val_accuracy: 0.9911\n","Epoch 9/10\n","36/36 [==============================] - 3s 92ms/step - loss: 0.0716 - accuracy: 0.9789 - val_loss: 0.0320 - val_accuracy: 0.9867\n","Epoch 10/10\n","36/36 [==============================] - 3s 92ms/step - loss: 0.1083 - accuracy: 0.9648 - val_loss: 0.0186 - val_accuracy: 0.9911\n"]},{"output_type":"execute_result","data":{"text/plain":["<keras.src.callbacks.History at 0x7e40f00e5d80>"]},"metadata":{},"execution_count":22}]},{"cell_type":"code","source":["val_loss, val_accuracy = model.evaluate(val_generator)\n","print(f'Validation Loss: {val_loss}')\n","print(f'Validation Accuracy: {val_accuracy}')"],"metadata":{"id":"4iP3MRaggFqv","executionInfo":{"status":"ok","timestamp":1722012019056,"user_tz":-420,"elapsed":3888,"user":{"displayName":"Minh Phạm Tuấn","userId":"10498019973223653458"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"2df141c1-6f08-4bfd-fb9b-629d9bf8765a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["8/8 [==============================] - 0s 49ms/step - loss: 0.0550 - accuracy: 0.9867\n","Validation Loss: 0.05498744547367096\n","Validation Accuracy: 0.9866666793823242\n"]}]}]}