AC: Add detection labels shift postprocessing for Efficientdet (openv…

…inotoolkit#1746)

* support efficientdet

* update postprocessor

* remove default value

tools/accuracy_checker/accuracy_checker/postprocessor/README.md

@@ -94,3 +94,5 @@ Accuracy Checker supports following set of postprocessors:
   * `size` - size of model input for recovering YCrCb image.
   * `dst_width` and `dst_height` - width and height of model input respectively for recovering YCrCb image.
 * `argmax_segmentation_mask` - translates categorical annotation segmentation mask to numerical. Supported representations: `SegmentationAnnotation`, `SegmentationPrediction`.
+* `shift_labels` - shifts predicted detection labels. Supported representation: `DetectionPrediction`.
+  * `offset` - value for shift.

tools/accuracy_checker/accuracy_checker/postprocessor/__init__.py

@@ -35,7 +35,7 @@
 from .correct_yolo_v2_boxes import CorrectYoloV2Boxes
 from .resize_segmentation_mask import ResizeSegmentationMask
 from .encode_segmentation_mask import EncodeSegMask
-from .shift import Shift
+from .shift import Shift, ShiftLabels
 from .normalize_landmarks_points import NormalizeLandmarksPoints
 from .clip_points import ClipPoints
 from .extend_segmentation_mask import ExtendSegmentationMask
@@ -84,6 +84,7 @@
     'ResizeSegmentationMask',
     'EncodeSegMask',
     'Shift',
+    'ShiftLabels',
     'ExtendSegmentationMask',
     'ZoomSegMask',
     'CropSegmentationMask',

tools/accuracy_checker/accuracy_checker/postprocessor/shift.py

@@ -16,8 +16,8 @@
 
 import numpy as np
 from ..config import NumberField
-from .postprocessor import PostprocessorWithSpecificTargets
-from ..representation import SegmentationAnnotation, SegmentationPrediction
+from .postprocessor import PostprocessorWithSpecificTargets, Postprocessor
+from ..representation import SegmentationAnnotation, SegmentationPrediction, DetectionPrediction, DetectionAnnotation
 
 
 class Shift(PostprocessorWithSpecificTargets):
@@ -55,3 +55,31 @@ def process_image(self, annotation, prediction):
             prediction_.mask = update_mask.astype(np.int16)
 
         return annotation, prediction
+
+
+class ShiftLabels(Postprocessor):
+    """
+    Shift predicted detection labels.
+    """
+
+    __provider__ = 'shift_labels'
+
+    prediction_types = (DetectionPrediction, )
+    annotation_types = (DetectionAnnotation, )
+
+    @classmethod
+    def parameters(cls):
+        parameters = super().parameters()
+        parameters.update({
+            'offset': NumberField(value_type=int, optional=False, description="Value for shift.")
+        })
+        return parameters
+
+    def configure(self):
+        self.offset = self.get_value_from_config('offset')
+
+    def process_image(self, annotation, prediction):
+        for prediction_ in prediction:
+            prediction_.labels += self.offset
+
+        return annotation, prediction