Handle invalid json labelmap file case correctly during create/update DL model stage.

CHANGELOG.md

@@ -35,6 +35,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Auto annotation fail for multijob tasks
 - Installation of CVAT with OpenVINO on the Windows platform
 - Background color was always black in utils/mask/converter.py
+- Handling of wrong labelamp json file in auto annotation (https://github.com/opencv/cvat/issues/554)
 
 ### Security
 -

cvat/apps/auto_annotation/admin.py

@@ -2,3 +2,14 @@
 # Copyright (C) 2018 Intel Corporation
 #
 # SPDX-License-Identifier: MIT
+
+from django.contrib import admin
+from .models import AnnotationModel
+
+@admin.register(AnnotationModel)
+class AnnotationModelAdmin(admin.ModelAdmin):
+    list_display = ('name', 'owner', 'created_date', 'updated_date',
+        'shared', 'primary', 'framework')
+
+    def has_add_permission(self, request):
+        return False

cvat/apps/auto_annotation/model_loader.py

@@ -65,6 +65,6 @@ def infer(self, image):
             return results.copy()
 
 
-def load_label_map(labels_path):
-        with open(labels_path, "r") as f:
-            return json.load(f)["label_map"]
+def load_labelmap(labels_path):
+    with open(labels_path, "r") as f:
+        return json.load(f)["label_map"]

cvat/apps/auto_annotation/model_manager.py

@@ -10,6 +10,8 @@
 import shutil
 import tempfile
 import itertools
+import sys
+import traceback
 
 from django.db import transaction
 from django.utils import timezone
@@ -22,7 +24,7 @@
 from cvat.apps.engine.annotation import put_task_data, patch_task_data
 
 from .models import AnnotationModel, FrameworkChoice
-from .model_loader import ModelLoader
+from .model_loader import ModelLoader, load_labelmap
 from .image_loader import ImageLoader
 from .import_modules import import_modules
 
@@ -44,11 +46,12 @@ def _delete_source_files():
     def _run_test(model_file, weights_file, labelmap_file, interpretation_file):
         test_image = np.ones((1024, 1980, 3), np.uint8) * 255
         try:
+            dummy_labelmap = {key: key for key in load_labelmap(labelmap_file).keys()}
             run_inference_engine_annotation(
                 data=[test_image,],
                 model_file=model_file,
                 weights_file=weights_file,
-                labels_mapping=labelmap_file,
+                labels_mapping=dummy_labelmap,
                 attribute_spec={},
                 convertation_file=interpretation_file,
                 restricted=restricted
@@ -370,7 +373,6 @@ def add_shapes(shapes, target_container):
 
     add_shapes(processed_detections.get_shapes(), result["shapes"])
 
-
     return result
 
 def run_inference_thread(tid, model_file, weights_file, labels_mapping, attributes, convertation_file, reset, user, restricted=True):

cvat/apps/auto_annotation/views.py

@@ -15,7 +15,7 @@
 from cvat.apps.authentication.auth import has_admin_role
 from cvat.apps.engine.log import slogger
 
-from .model_loader import load_label_map
+from .model_loader import load_labelmap
 from . import model_manager
 from .models import AnnotationModel
 
@@ -195,7 +195,7 @@ def start_annotation(request, mid, tid):
             {db_attr.name: db_attr.id for db_attr in db_label.attributespec_set.all()} for db_label in db_labels}
         db_labels = {db_label.name:db_label.id for db_label in db_labels}
 
-        model_labels = {value: key for key, value in load_label_map(labelmap_file).items()}
+        model_labels = {value: key for key, value in load_labelmap(labelmap_file).items()}
 
         labels_mapping = {}
         for user_model_label, user_db_label in user_defined_labels_mapping.items():