Renaming classes (#57)

* cleanup and refactoring of examples * refactoring models and datasets * refactoring detectors * added pillow dep * added scikit-learn dep * added pandas dep
Giskard-AI · Aug 19, 2024 · f44ba9d · f44ba9d
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diff --git a/examples/image_classification/load_datasets.ipynb b/examples/image_classification/load_datasets.ipynb
diff --git a/examples/image_classification/sc_models.ipynb b/examples/image_classification/sc_models.ipynb
@@ -0,0 +1,145 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9507a745-37b9-48ab-8ffe-68cc1de7bae7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from giskard_vision.image_classification.dataloaders.loaders import DataLoaderSkinCancer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "318972bd-635f-4be2-8b05-dcdfc74f4175",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sc = DataLoaderSkinCancer()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "acda20b2-fbd2-440d-a1cf-065e1e1056ba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from giskard_vision.image_classification.models.wrappers import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c1254d8c-33f1-4658-b9bd-a01230c4506e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m1 = SkinCancerHFModel()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a2a21164-cbdb-4f19-8106-3762dc037501",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m1.predict_probas(sc.get_image(0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e7905124-ed98-4518-b1a5-c94eb419b44f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m1.predict_image(sc.get_image(0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "784e3266-b1b9-447d-accf-c655f110989c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m1.predict(sc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0fcf57af-08b4-4d83-922d-cebabeb420ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m2 = MicrosoftResNetImageNet50HFModel()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "978875f0-1598-463f-a0f6-8e4859e9b69f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m2.predict_probas(sc.get_image(0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5cd590cc-e56e-4027-beea-545725e5a66b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m2.predict_image(sc.get_image(0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10dcebb6-10fe-4c24-8fd1-ca44549da624",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m3 = Jsli96ResNetImageNetHFModel()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "902ac845-2cfe-4f03-9d09-6997f1a32d49",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m2.predict_probas(sc.get_image(0))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/image_classification/sc_scan.ipynb b/examples/image_classification/sc_scan.ipynb
@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from giskard_vision.image_classification.models.wrappers import SkinCancerHFModel\n",
+    "from giskard_vision.image_classification.dataloaders.loaders import DataLoaderSkinCancer\n",
+    "from giskard_vision import scan\n",
+    "\n",
+    "model = SkinCancerHFModel()\n",
+    "dataset = DataLoaderSkinCancer()\n",
+    "\n",
+    "results = scan(model=model, dataset=dataset, raise_exceptions=True)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}