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romanowskaromanowska
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Remove Anomaly Segmentation code (#1029)
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‎web_ui/src/assets/domains/anomaly-segmentation.svg‎

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This file was deleted.

‎web_ui/src/assets/domains/index.tsx‎

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@@ -8,5 +8,4 @@ export { ReactComponent as ClassificationImg } from './classification-single.svg
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export { ReactComponent as ClassificationHierarchicalImg } from './classification-hierarchical.svg';
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export { ReactComponent as AnomalyClassificationImg } from './anomaly-classification.svg';
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export { ReactComponent as AnomalyDetectionImg } from './anomaly-detection.svg';
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export { ReactComponent as AnomalySegmentationImg } from './anomaly-segmentation.svg';
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export { ReactComponent as KeypointDetectionImg } from './keypoint-detection.svg';

‎web_ui/src/core/datasets/dataset.enum.ts‎

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@@ -48,7 +48,6 @@ export enum DATASET_IMPORT_TO_NEW_PROJECT_STEP {
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export enum DATASET_IMPORT_TASK_TYPE {
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ANOMALY_CLASSIFICATION = 'anomaly_classification',
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ANOMALY_DETECTION = 'anomaly_detection',
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ANOMALY_SEGMENTATION = 'anomaly_segmentation',
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CLASSIFICATION = 'classification',
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CROP = 'crop',
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DETECTION = 'detection',
@@ -65,7 +64,6 @@ export enum DATASET_IMPORT_TASK_TYPE {
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export enum DATASET_IMPORT_DOMAIN {
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ANOMALY_CLASSIFICATION = 'Anomaly classification',
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ANOMALY_DETECTION = 'Anomaly detection',
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ANOMALY_SEGMENTATION = 'Anomaly segmentation',
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CLASSIFICATION = 'Classification',
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CROP = 'Crop',
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DETECTION = 'Detection',

‎web_ui/src/core/datasets/dtos/dataset.enum.ts‎

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@@ -4,7 +4,6 @@ export enum DATASET_IMPORT_TASK_TYPE_DTO {
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ANOMALY = 'anomaly',
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ANOMALY_CLASSIFICATION = 'anomaly_classification',
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ANOMALY_DETECTION = 'anomaly_detection',
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ANOMALY_SEGMENTATION = 'anomaly_segmentation',
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CLASSIFICATION = 'classification',
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CROP = 'crop',
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DETECTION = 'detection',

‎web_ui/src/core/datasets/services/utils.ts‎

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Original file line numberDiff line numberDiff line change
@@ -35,7 +35,6 @@ const TASK_TYPE_FROM_TASK_TYPE_DTO: Record<DATASET_IMPORT_TASK_TYPE_DTO, DATASET
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[DATASET_IMPORT_TASK_TYPE_DTO.CLASSIFICATION_HIERARCHICAL]: DATASET_IMPORT_TASK_TYPE.CLASSIFICATION_HIERARCHICAL,
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[DATASET_IMPORT_TASK_TYPE_DTO.ANOMALY_CLASSIFICATION]: DATASET_IMPORT_TASK_TYPE.ANOMALY_CLASSIFICATION,
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[DATASET_IMPORT_TASK_TYPE_DTO.ANOMALY_DETECTION]: DATASET_IMPORT_TASK_TYPE.ANOMALY_DETECTION,
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[DATASET_IMPORT_TASK_TYPE_DTO.ANOMALY_SEGMENTATION]: DATASET_IMPORT_TASK_TYPE.ANOMALY_SEGMENTATION,
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[DATASET_IMPORT_TASK_TYPE_DTO.SEGMENTATION]: DATASET_IMPORT_TASK_TYPE.SEGMENTATION,
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[DATASET_IMPORT_TASK_TYPE_DTO.SEGMENTATION_INSTANCE]: DATASET_IMPORT_TASK_TYPE.SEGMENTATION_INSTANCE,
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[DATASET_IMPORT_TASK_TYPE_DTO.ANOMALY]: DATASET_IMPORT_TASK_TYPE.ANOMALY_CLASSIFICATION,
@@ -54,19 +53,14 @@ const TASK_TYPE_DTO_FROM_TASK_TYPE: Record<DATASET_IMPORT_TASK_TYPE, DATASET_IMP
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[DATASET_IMPORT_TASK_TYPE.CLASSIFICATION_HIERARCHICAL]: DATASET_IMPORT_TASK_TYPE_DTO.CLASSIFICATION_HIERARCHICAL,
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[DATASET_IMPORT_TASK_TYPE.ANOMALY_CLASSIFICATION]: DATASET_IMPORT_TASK_TYPE_DTO.ANOMALY_CLASSIFICATION,
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[DATASET_IMPORT_TASK_TYPE.ANOMALY_DETECTION]: DATASET_IMPORT_TASK_TYPE_DTO.ANOMALY_DETECTION,
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[DATASET_IMPORT_TASK_TYPE.ANOMALY_SEGMENTATION]: DATASET_IMPORT_TASK_TYPE_DTO.ANOMALY_SEGMENTATION,
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[DATASET_IMPORT_TASK_TYPE.SEGMENTATION]: DATASET_IMPORT_TASK_TYPE_DTO.SEGMENTATION,
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[DATASET_IMPORT_TASK_TYPE.SEGMENTATION_INSTANCE]: DATASET_IMPORT_TASK_TYPE_DTO.SEGMENTATION_INSTANCE,
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[DATASET_IMPORT_TASK_TYPE.KEYPOINT_DETECTION]: DATASET_IMPORT_TASK_TYPE_DTO.KEYPOINT_DETECTION,
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};
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export const getTaskTypeDTOFromTaskType = (taskType: DATASET_IMPORT_TASK_TYPE): DATASET_IMPORT_TASK_TYPE_DTO => {
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if (
65-
[
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DATASET_IMPORT_TASK_TYPE.ANOMALY_DETECTION,
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DATASET_IMPORT_TASK_TYPE.ANOMALY_SEGMENTATION,
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DATASET_IMPORT_TASK_TYPE.ANOMALY_CLASSIFICATION,
69-
].includes(taskType)
63+
[DATASET_IMPORT_TASK_TYPE.ANOMALY_DETECTION, DATASET_IMPORT_TASK_TYPE.ANOMALY_CLASSIFICATION].includes(taskType)
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) {
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return DATASET_IMPORT_TASK_TYPE_DTO.ANOMALY;
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}

‎web_ui/src/core/datasets/utils.ts‎

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@@ -47,7 +47,6 @@ export const getJobInfo = (steps: JobStep[] | undefined, defaultMessage: string)
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export const TASK_TYPE_TO_DOMAIN: Record<DATASET_IMPORT_TASK_TYPE, DATASET_IMPORT_DOMAIN | undefined> = {
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[DATASET_IMPORT_TASK_TYPE.ANOMALY_CLASSIFICATION]: DATASET_IMPORT_DOMAIN.ANOMALY_CLASSIFICATION,
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[DATASET_IMPORT_TASK_TYPE.ANOMALY_DETECTION]: DATASET_IMPORT_DOMAIN.ANOMALY_DETECTION,
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[DATASET_IMPORT_TASK_TYPE.ANOMALY_SEGMENTATION]: DATASET_IMPORT_DOMAIN.ANOMALY_SEGMENTATION,
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[DATASET_IMPORT_TASK_TYPE.CLASSIFICATION]: DATASET_IMPORT_DOMAIN.CLASSIFICATION,
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[DATASET_IMPORT_TASK_TYPE.DETECTION]: DATASET_IMPORT_DOMAIN.DETECTION,
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[DATASET_IMPORT_TASK_TYPE.DETECTION_ROTATED_BOUNDING_BOX]: DATASET_IMPORT_DOMAIN.DETECTION_ROTATED_BOUNDING_BOX,

‎web_ui/src/core/labels/label.interface.ts‎

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@@ -39,7 +39,7 @@ export enum LABEL_BEHAVIOUR {
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// A local label is applied to a shape to localize a point of interest. It is
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// used by the detection and segmentation tasks.
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// Only 1 localized label can be applied to an annotation at a time.
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// An exception exists for anomaly detection and anomaly segmentation, whose
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// An exception exists for anomaly detection whose
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// "anomalous" label is both LOCAL and GLOBAL.
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LOCAL = 1 << 1,
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‎web_ui/src/core/labels/utils.test.ts‎

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@@ -112,7 +112,7 @@ describe('Label behaviour based on task type', () => {
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);
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});
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it.each([DOMAIN.ANOMALY_CLASSIFICATION, DOMAIN.ANOMALY_DETECTION, DOMAIN.ANOMALY_SEGMENTATION])(
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it.each([DOMAIN.ANOMALY_CLASSIFICATION, DOMAIN.ANOMALY_DETECTION])(
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'gives anomalous behaviour to anomalous labels for %o domain',
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(domain) => {
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const behaviour = getBehaviourFromDTO({ ...labelDTO, name: 'Anomalous', is_anomalous: true }, domain);

‎web_ui/src/core/projects/core.interface.ts‎

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@@ -10,7 +10,6 @@ export interface ProjectIdentifier extends WorkspaceIdentifier {
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export enum DOMAIN {
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ANOMALY_CLASSIFICATION = 'Anomaly classification',
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ANOMALY_DETECTION = 'Anomaly detection',
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ANOMALY_SEGMENTATION = 'Anomaly segmentation',
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CLASSIFICATION = 'Classification',
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CROP = 'Crop',
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DETECTION = 'Detection',

‎web_ui/src/core/projects/domains.test.ts‎

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@@ -11,7 +11,6 @@ describe('domains', () => {
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[DOMAIN.DETECTION, false],
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[DOMAIN.ANOMALY_DETECTION, false],
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[DOMAIN.SEGMENTATION, false],
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[DOMAIN.ANOMALY_SEGMENTATION, false],
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])('isClassificationDomain(%o) is %o', (domain, result) => {
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expect(isClassificationDomain(domain)).toBe(result);
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});
@@ -22,7 +21,6 @@ describe('domains', () => {
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[DOMAIN.DETECTION, true],
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[DOMAIN.ANOMALY_DETECTION, true],
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[DOMAIN.SEGMENTATION, false],
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[DOMAIN.ANOMALY_SEGMENTATION, false],
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])('isDetectionDomain(%o) is %o', (domain, result) => {
2725
expect(isDetectionDomain(domain)).toBe(result);
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});
@@ -33,7 +31,6 @@ describe('domains', () => {
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[DOMAIN.DETECTION, false],
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[DOMAIN.ANOMALY_DETECTION, false],
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[DOMAIN.SEGMENTATION, true],
36-
[DOMAIN.ANOMALY_SEGMENTATION, true],
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])('isSegmentationDomain(%o) is %o', (domain, result) => {
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expect(isSegmentationDomain(domain)).toBe(result);
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});
@@ -44,7 +41,6 @@ describe('domains', () => {
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[DOMAIN.DETECTION, false],
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[DOMAIN.ANOMALY_DETECTION, true],
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[DOMAIN.SEGMENTATION, false],
47-
[DOMAIN.ANOMALY_SEGMENTATION, true],
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])('isAnomalyDomain(%o) is %o', (domain, result) => {
4945
expect(isAnomalyDomain(domain)).toBe(result);
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});

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