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rabah-khalekrabah-khalek
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Renaming classes (#57)
* cleanup and refactoring of examples * refactoring models and datasets * refactoring detectors * added pillow dep * added scikit-learn dep * added pandas dep
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‎examples/image_classification/load_datasets.ipynb

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‎examples/image_classification/sc_models.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9507a745-37b9-48ab-8ffe-68cc1de7bae7",
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"metadata": {},
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"outputs": [],
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"source": [
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"from giskard_vision.image_classification.dataloaders.loaders import DataLoaderSkinCancer"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "318972bd-635f-4be2-8b05-dcdfc74f4175",
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"metadata": {},
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"outputs": [],
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"source": [
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"sc = DataLoaderSkinCancer()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "acda20b2-fbd2-440d-a1cf-065e1e1056ba",
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"metadata": {},
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"outputs": [],
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"source": [
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"from giskard_vision.image_classification.models.wrappers import *"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c1254d8c-33f1-4658-b9bd-a01230c4506e",
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"metadata": {},
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"outputs": [],
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"source": [
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"m1 = SkinCancerHFModel()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a2a21164-cbdb-4f19-8106-3762dc037501",
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"metadata": {},
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"outputs": [],
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"source": [
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"m1.predict_probas(sc.get_image(0))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e7905124-ed98-4518-b1a5-c94eb419b44f",
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"metadata": {},
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"outputs": [],
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"source": [
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"m1.predict_image(sc.get_image(0))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "784e3266-b1b9-447d-accf-c655f110989c",
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"metadata": {},
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"outputs": [],
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"source": [
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"m1.predict(sc)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0fcf57af-08b4-4d83-922d-cebabeb420ee",
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"metadata": {},
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"outputs": [],
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"source": [
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"m2 = MicrosoftResNetImageNet50HFModel()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "978875f0-1598-463f-a0f6-8e4859e9b69f",
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"metadata": {},
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"outputs": [],
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"source": [
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"m2.predict_probas(sc.get_image(0))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5cd590cc-e56e-4027-beea-545725e5a66b",
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"metadata": {},
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"outputs": [],
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"source": [
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"m2.predict_image(sc.get_image(0))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "10dcebb6-10fe-4c24-8fd1-ca44549da624",
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"metadata": {},
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"outputs": [],
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"source": [
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"m3 = Jsli96ResNetImageNetHFModel()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "902ac845-2cfe-4f03-9d09-6997f1a32d49",
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"metadata": {},
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"outputs": [],
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"source": [
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"m2.predict_probas(sc.get_image(0))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎examples/image_classification/sc_scan.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from giskard_vision.image_classification.models.wrappers import SkinCancerHFModel\n",
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"from giskard_vision.image_classification.dataloaders.loaders import DataLoaderSkinCancer\n",
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"from giskard_vision import scan\n",
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"\n",
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"model = SkinCancerHFModel()\n",
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"dataset = DataLoaderSkinCancer()\n",
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"\n",
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"results = scan(model=model, dataset=dataset, raise_exceptions=True)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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