Remove unnecessary fields from the /api/lambda/functions response (#8004)

Remove several fields that haven't been used for one reason or another:

* `labels` and `attributes` have been replaced by `labels_v2`. Keeping
them around nearly triples the response length.

* `framework` hasn't been used by the UI since #5635, and IMO was never
useful to begin with. There are no decisions that the UI can take based
on this field, so it's essentially just a freeform text field, and we
already have a freeform text field - `description`. (Which... the UI
doesn't display either. But it could!)

Remove the `framework` field from the function descriptions as well,
since it has no other purpose.

* `state` has, as far I could determine, never been used by the UI. I
could see a field like this potentially being useful (e.g. the UI could
still display a function, but prevent it from being used if it's
unavailable), but since none of that is implemented right now, I see no
reason to have this field in the API.

Author: SpecLad

cvat-core/src/core-types.ts

@@ -37,7 +37,6 @@ export interface SerializedModel {
     name?: string;
     labels_v2?: MLModelLabel[];
     version?: number;
-    framework?: string;
     description?: string;
     kind?: ModelKind;
     type?: string;

cvat-core/src/ml-model.ts

@@ -35,10 +35,6 @@ export default class MLModel {
         return this.serialized.version;
     }
 
-    public get framework(): string {
-        return this.serialized.framework;
-    }
-
     public get description(): string {
         return this.serialized.description;
     }

cvat/apps/lambda_manager/tests/test_lambda.py

@@ -36,9 +36,8 @@
 id_function_state_building = "test-model-has-state-building"
 id_function_state_error = "test-model-has-state-error"
 
-expected_keys_in_response_all_functions = ["id", "kind", "labels", "description", "framework", "name"]
+expected_keys_in_response_all_functions = ["id", "kind", "labels_v2", "description", "name"]
 expected_keys_in_response_function_interactor = expected_keys_in_response_all_functions + ["min_pos_points", "startswith_box"]
-expected_keys_in_response_function_tracker = expected_keys_in_response_all_functions + ["state"]
 expected_keys_in_response_requests = ["id", "function", "status", "progress", "enqueued", "started", "ended", "exc_info"]
 
 path = os.path.join(os.path.dirname(__file__), 'assets', 'tasks.json')
@@ -247,9 +246,6 @@ def _check_expected_keys_in_response_function(self, data):
         if kind == "interactor":
             for key in expected_keys_in_response_function_interactor:
                 self.assertIn(key, data)
-        elif kind == "tracker":
-            for key in expected_keys_in_response_function_tracker:
-                self.assertIn(key, data)
         else:
             for key in expected_keys_in_response_all_functions:
                 self.assertIn(key, data)

cvat/apps/lambda_manager/views.py

@@ -185,14 +185,10 @@ def parse_attributes(attrs_spec):
                 raise ValidationError(
                     "`{}` lambda function has non-unique attributes for label {}".format(self.id, label),
                     code=status.HTTP_404_NOT_FOUND)
-        # state of the function
-        self.state = data['status']['state']
         # description of the function
         self.description = data['spec']['description']
         # http port to access the serverless function
         self.port = data["status"].get("httpPort")
-        # framework which is used for the function (e.g. tensorflow, openvino)
-        self.framework = meta_anno.get('framework')
         # display name for the function
         self.name = meta_anno.get('name', self.id)
         self.min_pos_points = int(meta_anno.get('min_pos_points', 1))
@@ -207,10 +203,8 @@ def to_dict(self):
         response = {
             'id': self.id,
             'kind': str(self.kind),
-            'labels': [label['name'] for label in self.labels],
             'labels_v2': self.labels,
             'description': self.description,
-            'framework': self.framework,
             'name': self.name,
             'version': self.version
         }
@@ -224,15 +218,6 @@ def to_dict(self):
                 'animated_gif': self.animated_gif
             })
 
-        if self.kind is LambdaType.TRACKER:
-            response.update({
-                'state': self.state
-            })
-        if self.kind is LambdaType.DETECTOR:
-            response.update({
-                'attributes': self.func_attributes
-            })
-
         return response
 
     def invoke(

serverless/onnx/WongKinYiu/yolov7/nuclio/function-gpu.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: YOLO v7
     type: detector
-    framework: onnx
     spec: |
       [
         { "id": 0, "name": "person", "type": "rectangle" },

serverless/onnx/WongKinYiu/yolov7/nuclio/function.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: YOLO v7
     type: detector
-    framework: onnx
     spec: |
       [
         { "id": 0, "name": "person", "type": "rectangle" },

serverless/openvino/dextr/nuclio/function.yaml

@@ -6,7 +6,6 @@ metadata:
     version: 2
     type: interactor
     spec:
-    framework: openvino
     min_pos_points: 4
     animated_gif: https://raw.githubusercontent.com/opencv/cvat/0fbb19ae3846a017853d52e187f0ce149adced7d/site/content/en/images/dextr_example.gif
     help_message: The interactor allows to get a mask of an object using its extreme points (more or equal than 4). You can add a point left-clicking the image

serverless/openvino/omz/intel/face-detection-0205/nuclio/function.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: Attributed face detection
     type: detector
-    framework: openvino
     spec: |
       [
         { "id": 0, "name": "face", "type": "rectangle", "attributes": [

serverless/openvino/omz/intel/person-reidentification-retail-0277/nuclio/function.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: Person reidentification
     type: reid
-    framework: openvino
     spec:
 
 spec:

serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/function.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: Semantic segmentation for ADAS
     type: detector
-    framework: openvino
     spec: |
       [
         { "id": 0, "name": "road", "type": "mask" },

serverless/openvino/omz/intel/text-detection-0004/nuclio/function.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: Text detection v4
     type: detector
-    framework: openvino
     spec: |
       [
         { "id": 1, "name": "text", "type": "mask" }

serverless/openvino/omz/public/faster_rcnn_inception_resnet_v2_atrous_coco/nuclio/function.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: Faster RCNN
     type: detector
-    framework: openvino
     spec: |
       [
         { "id": 1, "name": "person", "type": "rectangle" },

serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/function.yaml

@@ -7,7 +7,6 @@ metadata:
   annotations:
     name: Mask RCNN
     type: detector
-    framework: openvino
     spec: |
       [
         { "id": 1, "name": "person", "type": "mask" },

serverless/openvino/omz/public/yolo-v3-tf/nuclio/function.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: YOLO v3
     type: detector
-    framework: openvino
     spec: |
       [
         { "id": 0, "name": "person", "type": "rectangle" },

serverless/pytorch/dschoerk/transt/nuclio/function-gpu.yaml

@@ -5,7 +5,6 @@ metadata:
     name: TransT
     type: tracker
     spec:
-    framework: pytorch
 
 spec:
   description: Fast Online Object Tracking and Segmentation

serverless/pytorch/dschoerk/transt/nuclio/function.yaml

@@ -5,7 +5,6 @@ metadata:
     name: TransT
     type: tracker
     spec:
-    framework: pytorch
 
 spec:
   description: Fast Online Object Tracking and Segmentation

serverless/pytorch/facebookresearch/detectron2/retinanet_r101/nuclio/function-gpu.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: RetinaNet R101
     type: detector
-    framework: pytorch
     spec: |
       [
         { "id": 1, "name": "person", "type": "rectangle" },

serverless/pytorch/facebookresearch/detectron2/retinanet_r101/nuclio/function.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: RetinaNet R101
     type: detector
-    framework: pytorch
     spec: |
       [
         { "id": 1, "name": "person", "type": "rectangle" },

serverless/pytorch/facebookresearch/sam/nuclio/function-gpu.yaml

@@ -10,7 +10,6 @@ metadata:
     version: 2
     type: interactor
     spec:
-    framework: pytorch
     min_pos_points: 1
     min_neg_points: 0
     animated_gif: https://raw.githubusercontent.com/cvat-ai/cvat/develop/site/content/en/images/hrnet_example.gif

serverless/pytorch/facebookresearch/sam/nuclio/function.yaml

@@ -10,7 +10,6 @@ metadata:
     version: 2
     type: interactor
     spec:
-    framework: pytorch
     min_pos_points: 1
     min_neg_points: 0
     animated_gif: https://raw.githubusercontent.com/cvat-ai/cvat/develop/site/content/en/images/hrnet_example.gif

serverless/pytorch/foolwood/siammask/nuclio/function-gpu.yaml

@@ -5,7 +5,6 @@ metadata:
     name: SiamMask
     type: tracker
     spec:
-    framework: pytorch
 
 spec:
   description: Fast Online Object Tracking and Segmentation

serverless/pytorch/foolwood/siammask/nuclio/function.yaml

@@ -5,7 +5,6 @@ metadata:
     name: SiamMask
     type: tracker
     spec:
-    framework: pytorch
 
 spec:
   description: Fast Online Object Tracking and Segmentation

serverless/pytorch/mmpose/hrnet32/nuclio/function.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: Human pose estimation
     type: detector
-    framework: pytorch
     spec: |
       [
         {

serverless/pytorch/saic-vul/fbrs/nuclio/function.yaml

@@ -6,7 +6,6 @@ metadata:
     version: 2
     type: interactor
     spec:
-    framework: pytorch
     min_pos_points: 1
     min_neg_points: 0
     animated_gif: https://raw.githubusercontent.com/cvat-ai/cvat/0fbb19ae3846a017853d52e187f0ce149adced7d/site/content/en/images/fbrs_example.gif

serverless/pytorch/saic-vul/hrnet/nuclio/function-gpu.yaml

@@ -6,7 +6,6 @@ metadata:
     version: 2
     type: interactor
     spec:
-    framework: pytorch
     min_pos_points: 1
     min_neg_points: 0
     animated_gif: https://raw.githubusercontent.com/cvat-ai/cvat/develop/site/content/en/images/hrnet_example.gif

serverless/pytorch/saic-vul/hrnet/nuclio/function.yaml

@@ -6,7 +6,6 @@ metadata:
     version: 2
     type: interactor
     spec:
-    framework: pytorch
     min_pos_points: 1
     min_neg_points: 0
     animated_gif: https://raw.githubusercontent.com/cvat-ai/cvat/develop/site/content/en/images/hrnet_example.gif

serverless/pytorch/shiyinzhang/iog/nuclio/function.yaml

@@ -6,7 +6,6 @@ metadata:
     version: 2
     type: interactor
     spec:
-    framework: pytorch
     min_pos_points: 1
     min_neg_points: 0
     startswith_box: true

serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/function-gpu.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: Faster RCNN via Tensorflow
     type: detector
-    framework: tensorflow
     spec: |
       [
         { "id": 1, "name": "person", "type": "rectangle" },

serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/function.yaml

@@ -4,7 +4,6 @@ metadata:
   annotations:
     name: Faster RCNN via Tensorflow
     type: detector
-    framework: tensorflow
     spec: |
       [
         { "id": 1, "name": "person", "type": "rectangle" },

site/content/en/docs/manual/advanced/serverless-tutorial.md

@@ -440,7 +440,6 @@ metadata:
   annotations:
     name: RetinaNet R101
     type: detector
-    framework: pytorch
     spec: |
       [
         { "id": 1, "name": "person" },