{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Convolutional Neural Networks\n", "\n", "## Project: Write an Algorithm for Landmark Classification\n", "\n", "\n", "### Transfer learning\n", "\n", "In the previous notebook we have trained our own CNN and we got a certain performance. Let's see how hard it is to match that performance with transfer learning.\n", "\n", "---\n", "## \"\" style=\"width:50px\"/> Step 0: Setting up\n", "\n", "The following cells make sure that your environment is setup correctly and check that your GPU is available and ready to go. You have to execute them every time you restart your notebook." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Install requirements\n", "!pip install -r requirements.txt" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "GPU available\n", "Dataset already downloaded. If you need to re-download, please delete the directory landmark_images\n", "Reusing cached mean and std\n" ] } ], "source": [ "from src.helpers import setup_env\n", "\n", "# If running locally, this will download dataset (make sure you have at \n", "# least 2 Gb of space on your hard drive)\n", "setup_env()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "## \"\" style=\"width:50px\"/> Step 1: Create transfer learning architecture\n", "\n", "Open the file `src/transfer.py` and complete the `get_model_transfer_learning` function. When you are done, execute this test:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m============================= test session starts =============================\u001b[0m\n", "platform win32 -- Python 3.11.7, pytest-8.4.1, pluggy-1.6.0 -- C:\\Program Files\\Python311\\python.exe\n", "cachedir: .pytest_cache\n", "rootdir: c:\\Users\\Legion\\Downloads\\starter-kit\n", "\u001b[1mcollecting ... \u001b[0mcollected 1 item\n", "\n", "src/transfer.py::test_get_model_transfer_learning \u001b[32mPASSED\u001b[0m\u001b[32m [100%]\u001b[0m\n", "\n", "\u001b[33m============================== warnings summary ===============================\u001b[0m\n", "src/transfer.py::test_get_model_transfer_learning\n", " C:\\Program Files\\Python311\\Lib\\site-packages\\torchvision\\models\\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n", " warnings.warn(\n", "\n", "src/transfer.py::test_get_model_transfer_learning\n", " C:\\Program Files\\Python311\\Lib\\site-packages\\torchvision\\models\\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.\n", " warnings.warn(msg)\n", "\n", "-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n", "\u001b[33m================== \u001b[32m1 passed\u001b[0m, \u001b[33m\u001b[1m2 warnings\u001b[0m\u001b[33m in 81.65s (0:01:21)\u001b[0m\u001b[33m ===================\u001b[0m\n" ] } ], "source": [ "!pytest -vv src/transfer.py" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "## \"\" style=\"width:50px\"/> Step 2: Train, validation and test\n", "\n", "Let's train our transfer learning model! Let's start defining the hyperparameters:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "batch_size = 64 # size of the minibatch for stochastic gradient descent (or Adam)\n", "valid_size = 0.2 # fraction of the training data to reserve for validation\n", "num_epochs = 70 # number of epochs for training\n", "num_classes = 50 # number of classes. Do not change this\n", "learning_rate = 0.001 # Learning rate for SGD (or Adam)\n", "opt = 'AdamW' # optimizer. 'sgd' or 'adam' or 'adamw'\n", "weight_decay = 0.0001 # regularization. Increase this to combat overfitting" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from src.data import get_data_loaders\n", "from src.optimization import get_optimizer, get_loss\n", "from src.train import optimize\n", "from src.transfer import get_model_transfer_learning\n", "\n", "# Get a model using get_model_transfer_learning. Use one of the names reported here:\n", "# https://pytorch.org/vision/0.10/models.html\n", "# For example, if you want to load ResNet 18, use \"resnet18\"\n", "# NOTE: use the hyperparameters defined in the previous cell, do NOT copy/paste the\n", "# values\n", "model_transfer = get_model_transfer_learning(\"resnet18\", n_classes=num_classes)\n", "\n", "# train the model\n", "data_loaders = get_data_loaders(batch_size=batch_size)\n", "optimizer = get_optimizer(\n", " model_transfer,\n", " learning_rate=learning_rate,\n", " optimizer=opt,\n", " weight_decay=weight_decay,\n", ")\n", "loss = get_loss()\n", "\n", "optimize(\n", " data_loaders,\n", " model_transfer,\n", " optimizer,\n", " loss,\n", " n_epochs=num_epochs,\n", " save_path=\"checkpoints/model_transfer.pt\",\n", " interactive_tracking=True\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\"?\" __Question:__ Outline the steps you took to get to your final CNN architecture and your reasoning at each step. Describe why you think the architecture is suitable for the current problem." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\"\" style=\"width:25px\"/> __Answer:__ I decided to use ResNet18 for the base of my model, since it performs fairly well on ImageNet and is not too large of a model. Also, since ResNet18 was trained for the ImageNet task, it is a good model to use for this landmark classification task, since both ImageNet and this landmark task use images of natural scenes. It also uses the Residual block architecture like I did with my model, so it should be the most reasonable metric to compare my CNN model against." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now play with the hyperparameters and see which performance you can get on the validation set. You should get at least 60% for a passing grade, but a good model choice and a good training strategy could get you up to 80% or so. Let's see how close you can get!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "## \"\" style=\"width:50px\"/> Step 3: Test the Model\n", "\n", "Try out your model on the test dataset of landmark images. Use the code cell below to calculate and print the test loss and accuracy. Ensure that your test accuracy is greater than 60% and matches more or less what you got on the validation set (otherwise you're overfitting!)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Testing: 100%|██████████████████████████████████| 20/20 [00:04<00:00, 4.12it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Test Loss: 1.001863\n", "\n", "\n", "Test Accuracy: 74% (925/1250)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "data": { "text/plain": [ "1.0018629178404808" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import torch\n", "from src.train import one_epoch_test\n", "from src.transfer import get_model_transfer_learning\n", "\n", "model_transfer = get_model_transfer_learning(\"resnet18\", n_classes=num_classes)\n", "# Load saved weights\n", "model_transfer.load_state_dict(torch.load('checkpoints/model_transfer.pt'))\n", "\n", "one_epoch_test(data_loaders['test'], model_transfer, loss)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "## \"\" style=\"width:50px\"/> Step 4: Export using torchscript\n", "\n", "Now, just like we did with our original model, we export the best fit model using torchscript so that it can be used in our application:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reusing cached mean and std\n", "Dataset mean: tensor([0.4638, 0.4725, 0.4687]), std: tensor([0.2697, 0.2706, 0.3017])\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "c:\\Program Files\\Python311\\Lib\\site-packages\\torchvision\\models\\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n", " warnings.warn(\n", "c:\\Program Files\\Python311\\Lib\\site-packages\\torchvision\\models\\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.\n", " warnings.warn(msg)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Reusing cached mean and std\n" ] } ], "source": [ "from src.predictor import Predictor\n", "from src.helpers import compute_mean_and_std\n", "from src.data import get_data_loaders\n", "from src.transfer import get_model_transfer_learning\n", "import torch\n", "\n", "# First let's get the class names from our data loaders\n", "data_loaders = get_data_loaders()\n", "class_names = data_loaders[\"train\"].dataset.classes\n", "\n", "# Then let's move the model_transfer to the CPU\n", "# (we don't need GPU for inference)\n", "model_transfer = get_model_transfer_learning(\"resnet18\")\n", "model_transfer.load_state_dict(torch.load('checkpoints/model_transfer.pt'))\n", "model_transfer = model_transfer.cpu()\n", "# Let's make sure we use the right weights by loading the\n", "# best weights we have found during training\n", "# NOTE: remember to use map_location='cpu' so the weights\n", "# are loaded on the CPU (and not the GPU)\n", "model_transfer.load_state_dict(\n", " torch.load(\"checkpoints/model_transfer.pt\", map_location=\"cpu\")\n", ")\n", "\n", "# Let's wrap our model using the predictor class\n", "mean, std = compute_mean_and_std()\n", "predictor = Predictor(model_transfer, class_names, mean, std).cpu()\n", "\n", "# Export using torch.jit.script\n", "scripted_predictor = torch.jit.script(predictor)\n", "scripted_predictor.save(\"checkpoints/transfer_exported.pt\")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|███████████████████████████████████████| 1250/1250 [00:48<00:00, 25.54it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Accuracy: 0.728\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import torch\n", "from src.predictor import predictor_test\n", "from src.helpers import plot_confusion_matrix\n", "\n", "model_reloaded = torch.jit.load(\"checkpoints/transfer_exported.pt\")\n", "\n", "pred, truth = predictor_test(data_loaders['test'], model_reloaded)\n", "\n", "plot_confusion_matrix(pred, truth)" ] } ], "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": "3.11.7" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }