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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "323b609a",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/zenon/.local/share/miniconda3/lib/python3.7/site-packages/requests/__init__.py:104: RequestsDependencyWarning: urllib3 (1.26.13) or chardet (5.1.0)/charset_normalizer (2.0.4) doesn't match a supported version!\n",
" RequestsDependencyWarning)\n"
]
}
],
"source": [
"import fiftyone as fo\n",
"from fiftyone import ViewField as F"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "8c6686e0",
"metadata": {},
"outputs": [],
"source": [
"dataset = fo.load_dataset('dataset')\n",
"classes = dataset.default_classes"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "cfd472e0",
"metadata": {},
"outputs": [],
"source": [
"LABEL_STUDIO_URL = 'http://localhost:8080'\n",
"API_KEY = 'e7597adcd96248038940943173f4cbb877c5d9a1'"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "460a0c9c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The backend 'labelstudio' does not support attributes. Provided attributes will be ignored.\n",
"Uploading media to Label Studio...\n",
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name='/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/685.jpg'>, 'image/jpeg')), ('63f3a5cc9a511e57cf91372c', ('63f3a5cc9a511e57cf91372c', <_io.BufferedReader name='/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/686.jpg'>, 'image/jpeg')), ('63f3a5cc9a511e57cf91372d', ('63f3a5cc9a511e57cf91372d', <_io.BufferedReader name='/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/687.jpg'>, 'image/jpeg')), ('63f3a5cc9a511e57cf91372e', ('63f3a5cc9a511e57cf91372e', <_io.BufferedReader name='/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/688.jpg'>, 'image/jpeg')), ('63f3a5cc9a511e57cf91372f', ('63f3a5cc9a511e57cf91372f', <_io.BufferedReader name='/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/689.jpg'>, 'image/jpeg')), ('63f3a5cc9a511e57cf913730', ('63f3a5cc9a511e57cf913730', <_io.BufferedReader name='/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/690.jpg'>, 'image/jpeg')), ('63f3a5cc9a511e57cf913731', ('63f3a5cc9a511e57cf913731', <_io.BufferedReader name='/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/691.jpg'>, 'image/jpeg')), ('63f3a5cc9a511e57cf913732', ('63f3a5cc9a511e57cf913732', <_io.BufferedReader name='/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/692.jpg'>, 'image/jpeg')), ('63f3a5cc9a511e57cf913733', ('63f3a5cc9a511e57cf913733', <_io.BufferedReader name='/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/693.jpg'>, 'image/jpeg')), ('63f3a5cc9a511e57cf913734', ('63f3a5cc9a511e57cf913734', <_io.BufferedReader name='/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/694.jpg'>, 'image/jpeg'))]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Upload complete\n",
"Launching editor at 'http://localhost:8080/projects/23'...\n",
"{\n",
" \"key\": \"labelstudio_basic_recipe\",\n",
" \"version\": \"0.18.0\",\n",
" \"timestamp\": \"2023-06-15T14:08:51.729928\",\n",
" \"config\": {\n",
" \"method\": \"labelstudio\",\n",
" \"cls\": \"fiftyone.utils.labelstudio.LabelStudioBackendConfig\",\n",
" \"name\": \"labelstudio\",\n",
" \"label_schema\": {\n",
" \"ground_truth\": {\n",
" \"type\": \"detections\",\n",
" \"classes\": [\n",
" \"Healthy\",\n",
" \"Stressed\"\n",
" ],\n",
" \"attributes\": {},\n",
" \"existing_field\": true,\n",
" \"allow_additions\": true,\n",
" \"allow_deletions\": true,\n",
" \"allow_label_edits\": true,\n",
" \"allow_spatial_edits\": true\n",
" }\n",
" },\n",
" \"media_field\": \"filepath\",\n",
" \"url\": \"http://localhost:8080\",\n",
" \"project_name\": null\n",
" }\n",
"}\n"
]
}
],
"source": [
"view = dataset.view()\n",
"\n",
"# A unique identifier for this run\n",
"anno_key = \"labelstudio_basic_recipe\"\n",
"\n",
"#label_schema = {\n",
"# \"new_ground_truth\": {\n",
"# \"type\": \"detections\",\n",
"# \"classes\": dataset.distinct(\"ground_truth.detections.label\"),\n",
"# },\n",
"#}\n",
"\n",
"view.delete_annotation_run(anno_key)\n",
"\n",
"view.annotate(\n",
" anno_key,\n",
" backend=\"labelstudio\",\n",
" label_field=\"ground_truth\",\n",
" label_type=\"detections\",\n",
" launch_editor=True,\n",
" url=LABEL_STUDIO_URL,\n",
" api_key=API_KEY,\n",
")\n",
"print(dataset.get_annotation_info(anno_key))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "abb60702",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<Sample: {\n",
" 'id': '63f3a5cb9a511e57cf913038',\n",
" 'media_type': 'image',\n",
" 'filepath': '/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/000.jpg',\n",
" 'tags': ['val'],\n",
" 'metadata': <ImageMetadata: {\n",
" 'size_bytes': 161280,\n",
" 'mime_type': 'image/jpeg',\n",
" 'width': 1200,\n",
" 'height': 900,\n",
" 'num_channels': 3,\n",
" }>,\n",
" 'ground_truth': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '63f3a5cb9a511e57cf913037',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Stressed',\n",
" 'bounding_box': [0.0, 0.23306249999999995, 1.0, 0.708137],\n",
" 'mask': None,\n",
" 'confidence': None,\n",
" 'index': None,\n",
" 'eval': 'tp',\n",
" 'eval_id': '644fdb62cdd055da7827b102',\n",
" 'eval_iou': 0.9493934132737343,\n",
" 'eval_resnet_final': 'fn',\n",
" 'eval_resnet_final_id': '',\n",
" 'eval_yolo_resnet_final': 'fn',\n",
" 'eval_yolo_resnet_final_id': '',\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'predictions': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '644fdb62cdd055da7827b102',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Stressed',\n",
" 'bounding_box': [\n",
" 0.023333333333333334,\n",
" 0.22555555555555556,\n",
" 0.9591666666666666,\n",
" 0.7155555555555555,\n",
" ],\n",
" 'mask': None,\n",
" 'confidence': 56.0,\n",
" 'index': None,\n",
" 'eval': 'tp',\n",
" 'eval_id': '63f3a5cb9a511e57cf913037',\n",
" 'eval_iou': 0.9493934132737343,\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_tp': 1,\n",
" 'eval_fp': 0,\n",
" 'eval_fn': 0,\n",
" 'predictions_resnet_final': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '6450bf684d3fa77ee41434cb',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Healthy',\n",
" 'bounding_box': [\n",
" 0.023333333333333334,\n",
" 0.22555555555555556,\n",
" 0.9591666666666666,\n",
" 0.7155555555555555,\n",
" ],\n",
" 'mask': None,\n",
" 'confidence': 90.0,\n",
" 'index': None,\n",
" 'eval_resnet_final': 'fp',\n",
" 'eval_resnet_final_id': '',\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_resnet_final_tp': 0,\n",
" 'eval_resnet_final_fp': 1,\n",
" 'eval_resnet_final_fn': 1,\n",
" 'predictions_yolo_resnet_final': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '6450c2b14d3fa77ee414422f',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Healthy',\n",
" 'bounding_box': [0.0325, 0.2288888888888889, 0.9341666666666667, 0.71],\n",
" 'mask': None,\n",
" 'confidence': 76.0,\n",
" 'index': None,\n",
" 'eval_yolo_resnet_final': 'fp',\n",
" 'eval_yolo_resnet_final_id': '',\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_yolo_resnet_final_tp': 0,\n",
" 'eval_yolo_resnet_final_fp': 1,\n",
" 'eval_yolo_resnet_final_fn': 1,\n",
"}>\n",
"<Sample: {\n",
" 'id': '63f3a5cb9a511e57cf91303b',\n",
" 'media_type': 'image',\n",
" 'filepath': '/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/001.jpg',\n",
" 'tags': ['val'],\n",
" 'metadata': <ImageMetadata: {\n",
" 'size_bytes': 123515,\n",
" 'mime_type': 'image/jpeg',\n",
" 'width': 1280,\n",
" 'height': 720,\n",
" 'num_channels': 3,\n",
" }>,\n",
" 'ground_truth': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '63f3a5cb9a511e57cf913039',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Stressed',\n",
" 'bounding_box': [\n",
" 0.36019999999999996,\n",
" 0.07434799999999997,\n",
" 0.2523,\n",
" 0.767352,\n",
" ],\n",
" 'mask': None,\n",
" 'confidence': None,\n",
" 'index': None,\n",
" 'eval': 'tp',\n",
" 'eval_id': '644fdb63cdd055da7827b103',\n",
" 'eval_iou': 0.9863392639043914,\n",
" 'eval_resnet_final': 'fn',\n",
" 'eval_resnet_final_id': '',\n",
" 'eval_yolo_resnet_final': 'tp',\n",
" 'eval_yolo_resnet_final_id': '6450c2b24d3fa77ee4144230',\n",
" 'eval_yolo_resnet_final_iou': 0.9744874260687789,\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'predictions': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '644fdb63cdd055da7827b103',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Stressed',\n",
" 'bounding_box': [\n",
" 0.36015625,\n",
" 0.06388888888888888,\n",
" 0.25234375,\n",
" 0.7777777777777778,\n",
" ],\n",
" 'mask': None,\n",
" 'confidence': 53.0,\n",
" 'index': None,\n",
" 'eval': 'tp',\n",
" 'eval_id': '63f3a5cb9a511e57cf913039',\n",
" 'eval_iou': 0.9863392639043914,\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_tp': 1,\n",
" 'eval_fp': 0,\n",
" 'eval_fn': 0,\n",
" 'predictions_resnet_final': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '6450bf694d3fa77ee41434cc',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Healthy',\n",
" 'bounding_box': [\n",
" 0.36015625,\n",
" 0.06388888888888888,\n",
" 0.25234375,\n",
" 0.7777777777777778,\n",
" ],\n",
" 'mask': None,\n",
" 'confidence': 62.0,\n",
" 'index': None,\n",
" 'eval_resnet_final': 'fp',\n",
" 'eval_resnet_final_id': '',\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_resnet_final_tp': 0,\n",
" 'eval_resnet_final_fp': 1,\n",
" 'eval_resnet_final_fn': 1,\n",
" 'predictions_yolo_resnet_final': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '6450c2b24d3fa77ee4144230',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Stressed',\n",
" 'bounding_box': [\n",
" 0.3609375,\n",
" 0.06805555555555555,\n",
" 0.24921875,\n",
" 0.7694444444444445,\n",
" ],\n",
" 'mask': None,\n",
" 'confidence': 77.0,\n",
" 'index': None,\n",
" 'eval_yolo_resnet_final': 'tp',\n",
" 'eval_yolo_resnet_final_id': '63f3a5cb9a511e57cf913039',\n",
" 'eval_yolo_resnet_final_iou': 0.9744874260687789,\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_yolo_resnet_final_tp': 1,\n",
" 'eval_yolo_resnet_final_fp': 0,\n",
" 'eval_yolo_resnet_final_fn': 0,\n",
"}>\n",
"<Sample: {\n",
" 'id': '63f3a5cb9a511e57cf91303c',\n",
" 'media_type': 'image',\n",
" 'filepath': '/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/003.jpg',\n",
" 'tags': ['val'],\n",
" 'metadata': <ImageMetadata: {\n",
" 'size_bytes': 701759,\n",
" 'mime_type': 'image/jpeg',\n",
" 'width': 1024,\n",
" 'height': 1024,\n",
" 'num_channels': 3,\n",
" }>,\n",
" 'ground_truth': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '63f3a5cb9a511e57cf91303a',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Stressed',\n",
" 'bounding_box': [0.0811, 0.18782549999999998, 0.5938, 0.688175],\n",
" 'mask': None,\n",
" 'confidence': None,\n",
" 'index': None,\n",
" 'eval': 'fn',\n",
" 'eval_id': '',\n",
" 'eval_resnet_final': 'fn',\n",
" 'eval_resnet_final_id': '',\n",
" 'eval_yolo_resnet_final': 'fn',\n",
" 'eval_yolo_resnet_final_id': '',\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'predictions': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '644fdb63cdd055da7827b104',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Healthy',\n",
" 'bounding_box': [0.0810546875, 0.1728515625, 0.59375, 0.703125],\n",
" 'mask': None,\n",
" 'confidence': 61.0,\n",
" 'index': None,\n",
" 'eval': 'fp',\n",
" 'eval_id': '',\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_tp': 0,\n",
" 'eval_fp': 1,\n",
" 'eval_fn': 1,\n",
" 'predictions_resnet_final': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '6450bf6a4d3fa77ee41434cd',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
" 'label': 'Healthy',\n",
" 'bounding_box': [0.0810546875, 0.1728515625, 0.59375, 0.703125],\n",
" 'mask': None,\n",
" 'confidence': 99.0,\n",
" 'index': None,\n",
" 'eval_resnet_final': 'fp',\n",
" 'eval_resnet_final_id': '',\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_resnet_final_tp': 0,\n",
" 'eval_resnet_final_fp': 1,\n",
" 'eval_resnet_final_fn': 1,\n",
" 'predictions_yolo_resnet_final': <Detections: {\n",
" 'detections': [\n",
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" 'id': '6450c2b34d3fa77ee4144231',\n",
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" 'tags': [],\n",
" 'label': 'Healthy',\n",
" 'bounding_box': [0.0771484375, 0.181640625, 0.6005859375, 0.685546875],\n",
" 'mask': None,\n",
" 'confidence': 99.0,\n",
" 'index': None,\n",
" 'eval_yolo_resnet_final': 'fp',\n",
" 'eval_yolo_resnet_final_id': '',\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_yolo_resnet_final_tp': 0,\n",
" 'eval_yolo_resnet_final_fp': 1,\n",
" 'eval_yolo_resnet_final_fn': 1,\n",
"}>\n",
"<Sample: {\n",
" 'id': '63f3a5cb9a511e57cf913048',\n",
" 'media_type': 'image',\n",
" 'filepath': '/home/zenon/Documents/master-thesis/classification/evaluation/dataset/images/val/004.jpg',\n",
" 'tags': ['val'],\n",
" 'metadata': <ImageMetadata: {\n",
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" }>,\n",
" 'ground_truth': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
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" 'attributes': {},\n",
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" 'eval': 'fn',\n",
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" 'eval_resnet_final': 'fn',\n",
" 'eval_resnet_final_id': '',\n",
" 'eval_yolo_resnet_final': 'fn',\n",
" 'eval_yolo_resnet_final_id': '',\n",
" }>,\n",
" <Detection: {\n",
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" 'eval_id': '',\n",
" 'eval_resnet_final': 'tp',\n",
" 'eval_resnet_final_id': '6450bf6b4d3fa77ee41434cf',\n",
" 'eval_resnet_final_iou': 0.6238313381495026,\n",
" 'eval_yolo_resnet_final': 'tp',\n",
" 'eval_yolo_resnet_final_id': '6450c2b44d3fa77ee4144233',\n",
" 'eval_yolo_resnet_final_iou': 0.9098951892471772,\n",
" }>,\n",
" <Detection: {\n",
" 'id': '63f3a5cb9a511e57cf91303f',\n",
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" 'tags': [],\n",
" 'label': 'Healthy',\n",
" 'bounding_box': [0.6750630000000001, 0.3283585, 0.277078, 0.429851],\n",
" 'mask': None,\n",
" 'confidence': None,\n",
" 'index': None,\n",
" 'eval': 'fn',\n",
" 'eval_id': '',\n",
" 'eval_resnet_final': 'fn',\n",
" 'eval_resnet_final_id': '',\n",
" 'eval_yolo_resnet_final': 'tp',\n",
" 'eval_yolo_resnet_final_id': '6450c2b44d3fa77ee4144234',\n",
" 'eval_yolo_resnet_final_iou': 0.9321679339320338,\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'predictions': <Detections: {\n",
" 'detections': [\n",
" <Detection: {\n",
" 'id': '644fdb64cdd055da7827b105',\n",
" 'attributes': {},\n",
" 'tags': [],\n",
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" ],\n",
" 'mask': None,\n",
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" 'index': None,\n",
" 'eval': 'fp',\n",
" 'eval_id': '',\n",
" }>,\n",
" <Detection: {\n",
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" 0.4515625,\n",
" 0.5791666666666667,\n",
" ],\n",
" 'mask': None,\n",
" 'confidence': 62.0,\n",
" 'index': None,\n",
" 'eval': 'fp',\n",
" 'eval_id': '',\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_tp': 0,\n",
" 'eval_fp': 2,\n",
" 'eval_fn': 3,\n",
" 'predictions_resnet_final': <Detections: {\n",
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" 0.48727272727272725,\n",
" 0.8852459016393442,\n",
" ],\n",
" 'mask': None,\n",
" 'confidence': 67.0,\n",
" 'index': None,\n",
" 'eval_yolo_resnet_final': 'tp',\n",
" 'eval_yolo_resnet_final_id': '63f3a5cc9a511e57cf9136a1',\n",
" 'eval_yolo_resnet_final_iou': 0.9626494741871938,\n",
" }>,\n",
" ],\n",
" }>,\n",
" 'eval_yolo_resnet_final_tp': 1,\n",
" 'eval_yolo_resnet_final_fp': 0,\n",
" 'eval_yolo_resnet_final_fn': 0,\n",
"}>\n"
]
}
],
"source": [
"for sample in dataset:\n",
" print(sample)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "9e57cd86",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading labels from Label Studio...\n",
"Download complete\n",
"Loading labels for field 'ground_truth'...\n",
" 100% |█████████████████| 639/639 [1.1s elapsed, 0s remaining, 576.6 samples/s] \n"
]
},
{
"data": {
"text/html": [
"\n",
" <iframe\n",
" width=\"100%\"\n",
" height=\"800\"\n",
" src=\"http://localhost:5151/?context=ipython&subscription=f8354b3b-60f0-418a-a49d-f664312d58cc\"\n",
" frameborder=\"0\"\n",
" allowfullscreen\n",
" \n",
" ></iframe>\n",
" "
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"text/plain": [
"<IPython.lib.display.IFrame at 0x7fe94ac02bd0>"
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],
"source": [
"anno_key = \"labelstudio_basic_recipe\"\n",
"\n",
"# Merge annotations back into FiftyOne dataset\n",
"dataset = fo.load_dataset(\"dataset\")\n",
"dataset.load_annotations(anno_key, url=LABEL_STUDIO_URL, api_key=API_KEY)\n",
"\n",
"# Load the view that was annotated in the App\n",
"view = dataset.load_annotation_view(anno_key)\n",
"session = fo.launch_app(view=view)\n",
"\n",
"# Step 6: Cleanup\n",
"\n",
"# Delete tasks from Label Studio\n",
"#results = dataset.load_annotation_results(anno_key)\n",
"#results.cleanup()\n",
"\n",
"# Delete run record (not the labels) from FiftyOne\n",
"#dataset.delete_annotation_run(anno_key)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "65f64f8b",
"metadata": {},
"outputs": [],
"source": [
"# Delete tasks from Label Studio\n",
"#results = dataset.load_annotation_results(anno_key)\n",
"#results.cleanup()\n",
"\n",
"# Delete run record (not the labels) from FiftyOne\n",
"dataset.delete_annotation_run(anno_key)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "ef4fd54f",
"metadata": {},
"outputs": [],
"source": [
"dataset.save()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b099682d",
"metadata": {},
"outputs": [],
"source": []
}
],
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"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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"nbformat": 4,
"nbformat_minor": 5
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