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DaankrolDaankrol
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cleanup
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‎notebooks/001_create_project.ipynb

+45-357
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‎notebooks/003_upload_and_predict_image.ipynb

+33-33
Original file line numberDiff line numberDiff line change
@@ -11,14 +11,12 @@
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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": "bc86f115-d96c-463c-962d-6b50d88b330d",
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# As usual we will connect to the platform first, using the server details from the .env file\n",
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"\n",
@@ -28,7 +26,9 @@
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"geti_server_configuration = get_server_details_from_env()\n",
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"\n",
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"geti = Geti(server_config=geti_server_configuration)"
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]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -41,15 +41,15 @@
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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": "63108a6c-c99b-4be9-b4fc-eca5556756c6",
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"metadata": {},
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"outputs": [],
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"source": [
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"from geti_sdk.rest_clients import ImageClient, PredictionClient, ProjectClient\n",
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"\n",
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"project_client = ProjectClient(session=geti.session, workspace_id=geti.workspace_id)"
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]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -61,13 +61,13 @@
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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": "5b2dbd9b-29b9-4000-8c55-cdb5cfd86463",
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"metadata": {},
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"outputs": [],
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"source": [
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"PROJECT_NAME = \"COCO animal detection demo\""
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]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -79,10 +79,8 @@
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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": "059ff478-a5da-4363-a281-3ef5ad265151",
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"metadata": {},
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"outputs": [],
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"source": [
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"project = project_client.get_project(project_name=PROJECT_NAME)\n",
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"image_client = ImageClient(\n",
@@ -91,7 +89,9 @@
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"prediction_client = PredictionClient(\n",
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" session=geti.session, workspace_id=geti.workspace_id, project=project\n",
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")"
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]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -104,14 +104,14 @@
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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": "2465640a-50ca-46cf-92bb-75dc29c65ab2",
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"metadata": {},
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"outputs": [],
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"source": [
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"images = image_client.get_all_images()\n",
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"print(f\"Project '{project.name}' contains {len(images)} images.\")"
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]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -123,15 +123,15 @@
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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": "5113c81a-5e5f-4109-b781-b057bb7e674d",
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"metadata": {},
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"outputs": [],
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"source": [
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"from geti_sdk.demos import EXAMPLE_IMAGE_PATH\n",
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"\n",
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"image = image_client.upload_image(image=EXAMPLE_IMAGE_PATH)"
134-
]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -143,14 +143,14 @@
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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": "a8ff33cf-f693-4c55-95bb-215e5065f99f",
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"metadata": {},
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"outputs": [],
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"source": [
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"images = image_client.get_all_images()\n",
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"print(f\"Project '{project.name}' contains {len(images)} images.\")"
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]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -167,10 +167,8 @@
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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": "1b9fc8a2-8020-40ed-927c-ea124d698190",
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"metadata": {},
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"outputs": [],
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"source": [
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"from geti_sdk.demos import ensure_trained_example_project\n",
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"\n",
@@ -179,7 +177,9 @@
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"\n",
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"# Then, request the prediction\n",
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"prediction = prediction_client.get_image_prediction(image)"
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]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -192,20 +192,18 @@
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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": "3ff32064-a90a-4de7-9bd7-4bc8f1377e6b",
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"metadata": {},
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"outputs": [],
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"source": [
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"print(prediction.overview)"
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]
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],
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"outputs": [],
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"execution_count": null
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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": "1affebae-88b4-46ac-97c5-e8373a880d74",
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"metadata": {},
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"outputs": [],
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"source": [
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"import cv2\n",
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"\n",
@@ -220,7 +218,9 @@
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"image_rgb = cv2.cvtColor(numpy_image, cv2.COLOR_BGR2RGB)\n",
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"result = visualizer.draw(image_rgb, prediction)\n",
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"visualizer.show_in_notebook(result)"
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]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -233,10 +233,8 @@
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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": "1bb56cd8-35db-45f8-8b2f-64aa36caff1e",
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"metadata": {},
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"outputs": [],
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"source": [
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"quick_image, quick_prediction = geti.upload_and_predict_image(\n",
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" project=project,\n",
@@ -247,7 +245,9 @@
247245
"quick_image_rgb = cv2.cvtColor(quick_image.numpy, cv2.COLOR_BGR2RGB)\n",
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"quick_result = visualizer.draw(quick_image_rgb, quick_prediction)\n",
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"visualizer.show_in_notebook(quick_result)"
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]
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],
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"outputs": [],
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"execution_count": null
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}
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],
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"metadata": {

‎notebooks/004_create_pipeline_project_from_dataset.ipynb

+26-26
Original file line numberDiff line numberDiff line change
@@ -13,10 +13,8 @@
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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": "35717528-ee7e-41be-af63-7451e6c169f1",
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"metadata": {},
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"outputs": [],
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"source": [
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"# As usual we will connect to the platform first, using the server details from the .env file\n",
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"\n",
@@ -26,7 +24,9 @@
2624
"geti_server_configuration = get_server_details_from_env()\n",
2725
"\n",
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"geti = Geti(server_config=geti_server_configuration)"
29-
]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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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": "45ee2b8f-6f79-4916-857b-9af585848d21",
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"metadata": {},
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"outputs": [],
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"source": [
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"from geti_sdk.demos import get_coco_dataset\n",
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"\n",
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"COCO_PATH = get_coco_dataset(dataset_path=None)"
50-
]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -60,10 +60,8 @@
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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": "25c1033b-2856-46c0-b513-7b41de0b128e",
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"metadata": {},
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"outputs": [],
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"source": [
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"from geti_sdk.annotation_readers import DatumAnnotationReader\n",
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"\n",
@@ -73,7 +71,9 @@
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"annotation_reader_task_2 = DatumAnnotationReader(\n",
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" base_data_folder=COCO_PATH, annotation_format=\"coco\"\n",
7573
")"
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]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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},
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{
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"cell_type": "code",
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"id": "58d7ab28-11e3-43bd-ba8a-cf111b9c209b",
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"metadata": {},
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"outputs": [],
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"source": [
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"domestic_animals = [\"dog\", \"cat\", \"horse\"]\n",
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"wild_animals = [\"elephant\", \"giraffe\"]"
100-
]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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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": "3b2b3428-b4c4-4421-83cb-0726502c9fcf",
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"metadata": {},
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"outputs": [],
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"source": [
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"all_labels = domestic_animals + wild_animals\n",
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"annotation_reader_task_1.filter_dataset(labels=all_labels, criterion=\"OR\")\n",
120118
"annotation_reader_task_1.group_labels(labels_to_group=all_labels, group_name=\"animal\")"
121-
]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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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": "4a7d6e23-799b-4e1c-9d0e-3c7f10812020",
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"metadata": {},
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"outputs": [],
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"source": [
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"annotation_reader_task_2.filter_dataset(labels=all_labels, criterion=\"OR\")\n",
140138
"annotation_reader_task_2.group_labels(\n",
141139
" labels_to_group=domestic_animals, group_name=\"domestic\"\n",
142140
")\n",
143141
"annotation_reader_task_2.group_labels(labels_to_group=wild_animals, group_name=\"wild\")"
144-
]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
@@ -158,10 +158,8 @@
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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": "e73a6646-1b1d-4997-b986-c8f75bbe0c38",
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"metadata": {},
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"outputs": [],
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"source": [
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"PROJECT_NAME = \"COCO multitask animal demo\"\n",
167165
"PROJECT_TYPE = \"detection_to_classification\"\n",
@@ -175,7 +173,9 @@
175173
" number_of_images_to_annotate=90,\n",
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" enable_auto_train=True,\n",
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")"
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]
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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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": "142e6932-0b3e-4a32-b5e2-bcc655dd807e",
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"metadata": {},
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"outputs": [],
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"source": [
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"print(project.summary)"
196-
]
194+
],
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"outputs": [],
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"execution_count": null
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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": "32050c75-56ec-4489-9a6d-7452a0d80345",
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"metadata": {},
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"source": [],
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"outputs": [],
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"source": []
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"execution_count": null
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}
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],
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"metadata": {

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