AC: small fixes for custom evaluator (#3228)

Author: eaidova

tools/accuracy_checker/openvino/tools/accuracy_checker/annotation_converters/smartlab_action_recognition.py

@@ -43,7 +43,8 @@ def convert(self, check_content=False, progress_callback=None, progress_interval
         num_iterations = len(stream_description)
         for idx, annotation_line in enumerate(stream_description):
             identifier, label = annotation_line.split()
-            annotations.append(ClassificationAnnotation(identifier, int(label)))
+            label = int(label) if int(label) in [1, 2] else 0
+            annotations.append(ClassificationAnnotation(identifier, label))
             if progress_callback and idx % progress_interval == 0:
                 progress_callback(idx * 100 / num_iterations)
         return ConverterReturn(annotations, self.get_meta(), None)

tools/accuracy_checker/openvino/tools/accuracy_checker/evaluators/custom_evaluators/base_models.py

@@ -306,7 +306,7 @@ def load_model(self, network_info, launcher, log=False):
             if weights:
                 self.network = launcher.read_network(str(model), str(weights))
             else:
-                self.network = launcher.ie_core.read_network(str(model))
+                self.network = launcher.read_network(str(model), None)
             self.load_network(self.network, launcher)
         self.set_input_and_output()
         if log: