update notebooks

flash_notebooks/finetuning/finetuning_image_classification.ipynb

@@ -0,0 +1,167 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "fatal-doctor",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import flash\n",
+    "from flash.core.data import download_data\n",
+    "from flash.vision import ImageClassificationData, ImageClassifier"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "important-underground",
+   "metadata": {},
+   "source": [
+    "# 1. Download the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "celtic-publisher",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "download_data(\"https://pl-flash-data.s3.amazonaws.com/hymenoptera_data.zip\", 'data/')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "atmospheric-batch",
+   "metadata": {},
+   "source": [
+    "# 2. Load the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "broadband-massachusetts",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "datamodule = ImageClassificationData.from_folders(\n",
+    "    train_folder=\"data/hymenoptera_data/train/\",\n",
+    "    valid_folder=\"data/hymenoptera_data/val/\",\n",
+    "    test_folder=\"data/hymenoptera_data/test/\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "biblical-boundary",
+   "metadata": {},
+   "source": [
+    "# 3. Build the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "upper-staff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = ImageClassifier(num_classes=datamodule.num_classes)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "sixth-lancaster",
+   "metadata": {},
+   "source": [
+    "# 4. Create the trainer. Run once on data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "generous-paraguay",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trainer = flash.Trainer(max_epochs=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "physical-prophet",
+   "metadata": {},
+   "source": [
+    "# 5. Train the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "oriented-hudson",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trainer.finetune(model, datamodule=datamodule, unfreeze_milestones=(0, 1))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "sexual-puzzle",
+   "metadata": {},
+   "source": [
+    "# 6. Test the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eight-russell",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trainer.test()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ultimate-halloween",
+   "metadata": {},
+   "source": [
+    "# 7. Save it!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "literary-establishment",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trainer.save_checkpoint(\"image_classification_model.pt\")"
+   ]
+  }
+ ],
+ "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": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}