Added skeleton keypoints detector COCO Whole Body (#7033)

### Motivation and context
Resolved #3756
Resolved #5324

Used model is UBody via mmpose
https://mmpose.readthedocs.io/en/latest/model_zoo/wholebody_2d_keypoint.html#topdown-heatmap-hrnet-ubody-coco-wholebody-on-ubody2d

Optional: 
- [ ] Try different detectors from mmdetect
- [ ] GPU support (it very quick on CPU as well)

**Deploy with**: ```./deploy_cpu.sh pytorch/mmpose/ubody2d/nuclio/```

**Recommendations**: redeploy this list of functions if you use any of
them after using this code
 
- tensorflow/faster_rcnn_inception_v2_coco/nuclio/
- tensorflow/matterport/mask_rcnn/nuclio/
- pytorch/facebookresearch/detectron2/retinanet_r101/nuclio/
- openvino/omz/public/yolo-v3-tf/nuclio/
- onnx/WongKinYiu/yolov7/nuclio/
- openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/
-
openvino/omz/public/faster_rcnn_inception_resnet_v2_atrous_coco/nuclio/
- openvino/omz/intel/text-detection-0004/nuclio/
- openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/
- openvino/omz/intel/face-detection-0205/nuclio/

changelog.d/20231024_123046_boris_keypoints.md

@@ -0,0 +1,6 @@
+### Added
+
+- CVAT now supports serverless Nuclio functions returning skeleton annotations.
+  Added keypoint detector supporting skeletons with following classes: body, head, foot, hands.
+  Deployment command: `./deploy_cpu.sh pytorch/mmpose/hrnet32/nuclio/`
+  (<https://github.com/opencv/cvat/pull/7033>)

cvat-core/src/core-types.ts

@@ -2,7 +2,7 @@
 //
 // SPDX-License-Identifier: MIT
 
-import { ModelKind, ModelReturnType } from './enums';
+import { ModelKind, ModelReturnType, ShapeType } from './enums';
 
 export interface ModelAttribute {
     name: string;
@@ -19,17 +19,24 @@ export interface ModelParams {
     };
 }
 
-export interface ModelTip {
+export interface MLModelTip {
     message: string;
     gif: string;
 }
 
+export interface MLModelLabel {
+    name: string;
+    type: ShapeType | 'unknown';
+    attributes: ModelAttribute[];
+    sublabels?: MLModelLabel[];
+    svg?: string,
+}
+
 export interface SerializedModel {
     id?: string | number;
     name?: string;
-    labels?: string[];
+    labels_v2?: MLModelLabel[];
     version?: number;
-    attributes?: Record<string, ModelAttribute>;
     framework?: string;
     description?: string;
     kind?: ModelKind;

cvat-core/src/lambda-manager.ts

@@ -41,15 +41,7 @@ class LambdaManager {
         const { results: functions, count: functionsCount } = functionsResult;
 
         const result = [...lambdaFunctions, ...functions];
-        const models = [];
-
-        for (const model of result) {
-            models.push(
-                new MLModel({
-                    ...model,
-                }),
-            );
-        }
+        const models = result.map((serialzedModel) => new MLModel({ ...serialzedModel }));
 
         this.cachedList = models;
         return { models, count: lambdaFunctions.length + functionsCount };

cvat-core/src/ml-model.ts

@@ -6,9 +6,11 @@
 import serverProxy from './server-proxy';
 import PluginRegistry from './plugins';
 import { decodePreview } from './frames';
-import { ModelProviders, ModelKind, ModelReturnType } from './enums';
 import {
-    SerializedModel, ModelAttribute, ModelParams, ModelTip,
+    ModelProviders, ModelKind, ModelReturnType,
+} from './enums';
+import {
+    SerializedModel, ModelParams, MLModelTip, MLModelLabel,
 } from './core-types';
 
 export default class MLModel {
@@ -27,18 +29,14 @@ export default class MLModel {
         return this.serialized.name;
     }
 
-    public get labels(): string[] {
-        return Array.isArray(this.serialized.labels) ? [...this.serialized.labels] : [];
+    public get labels(): MLModelLabel[] {
+        return Array.isArray(this.serialized.labels_v2) ? [...this.serialized.labels_v2] : [];
     }
 
     public get version(): number {
         return this.serialized.version;
     }
 
-    public get attributes(): Record<string, ModelAttribute> {
-        return this.serialized.attributes || {};
-    }
-
     public get framework(): string {
         return this.serialized.framework;
     }
@@ -67,7 +65,7 @@ export default class MLModel {
         return result;
     }
 
-    public get tip(): ModelTip {
+    public get tip(): MLModelTip {
         return {
             message: this.serialized.help_message,
             gif: this.serialized.animated_gif,
@@ -146,7 +144,7 @@ Object.defineProperties(MLModel.prototype.delete, {
         enumerable: false,
         value: async function implementation(this: MLModel): Promise<void> {
             if (this.isDeletable) {
-                await serverProxy.functions.delete(this.id);
+                await serverProxy.functions.delete(this.id as number);
             }
         },
     },