add in serializing check in auto annotation model runner (cvat-ai#770)

utils/auto_annotation/README.md

@@ -7,46 +7,60 @@ A small command line program to test and run AutoAnnotation Scripts.
 Change in to the root of the project directory and run
 
 ```shell
-$ python cvat/utils/auto_annotation/run_modely.py --py /path/to/python/interp.py \
-                                                  --xml /path/to/xml/file.xml \
-                                                  --bin /path/to/bin/file.bin \
-                                                  --json /path/to/json/mapping/mapping.json
+$ python cvat/utils/auto_annotation/run_model.py --py /path/to/python/interp.py \
+                                                 --xml /path/to/xml/file.xml \
+                                                 --bin /path/to/bin/file.bin \
+                                                 --json /path/to/json/mapping/mapping.json
 ```
 
 Some programs need to run unrestricted or as an administer. Use the `--unrestriced` flag to simulate.
 
 You can pass image files in to fully simulate your findings. Images are passed in as a list
 
 ```shell
-$ python cvat/utils/auto_annotation/run_modely.py --py /path/to/python/interp.py \
-                                                  --xml /path/to/xml/file.xml \
-                                                  --bin /path/to/bin/file.bin \
-                                                  --json /path/to/json/mapping/mapping.json \
-                                                  --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg
+$ python cvat/utils/auto_annotation/run_model.py --py /path/to/python/interp.py \
+                                                 --xml /path/to/xml/file.xml \
+                                                 --bin /path/to/bin/file.bin \
+                                                 --json /path/to/json/mapping/mapping.json \
+                                                 --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg
 ```
 
 Additionally, it's sometimes useful to visualize your images. 
 Use the `--show-images` flag to have each image with the annotations pop up. 
 
 ```shell
-$ python cvat/utils/auto_annotation/run_modely.py --py /path/to/python/interp.py \
-                                                  --xml /path/to/xml/file.xml \
-                                                  --bin /path/to/bin/file.bin \
-                                                  --json /path/to/json/mapping/mapping.json \
-                                                  --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg \ 
-                                                  --show-images
+$ python cvat/utils/auto_annotation/run_model.py --py /path/to/python/interp.py \
+                                                 --xml /path/to/xml/file.xml \
+                                                 --bin /path/to/bin/file.bin \
+                                                 --json /path/to/json/mapping/mapping.json \
+                                                 --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg \ 
+                                                 --show-images
 ```
 
 There's a command that let's you scan quickly by setting the length of time (in milliseconds) to display each image. 
 Use the `--show-image-delay` flag and set the appropriate time.
 
 ```shell
 # Display each image in a window for 2 seconds
-$ python cvat/utils/auto_annotation/run_modely.py --py /path/to/python/interp.py \
-                                                  --xml /path/to/xml/file.xml \
-                                                  --bin /path/to/bin/file.bin \
-                                                  --json /path/to/json/mapping/mapping.json \
-                                                  --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg \
-                                                  --show-images
-                                                  --show-image-delay 2000
+$ python cvat/utils/auto_annotation/run_model.py --py /path/to/python/interp.py \
+                                                 --xml /path/to/xml/file.xml \
+                                                 --bin /path/to/bin/file.bin \
+                                                 --json /path/to/json/mapping/mapping.json \
+                                                 --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg \
+                                                 --show-images \
+                                                 --show-image-delay 2000
+```
+
+Visualization isn't always enough. 
+The CVAT has a serialization step that can throw errors on model upload even after successful visualization.
+You must install the necessary packages installed, but then you can add the `--serialize` command to ensure that your 
+results will serialize correctly.
+
+```shell
+$ python cvat/utils/auto_annotation/run_model.py --py /path/to/python/interp.py \
+                                                 --xml /path/to/xml/file.xml \
+                                                 --bin /path/to/bin/file.bin \
+                                                 --json /path/to/json/mapping/mapping.json \
+                                                 --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg \
+                                                 --serialize
 ```

utils/auto_annotation/run_model.py

@@ -28,6 +28,7 @@ def _get_kwargs():
 
     parser.add_argument('--show-images', action='store_true', help='Show the results of the annotation in a window')
     parser.add_argument('--show-image-delay', default=0, type=int, help='Displays the images for a set duration in milliseconds, default is until a key is pressed')
+    parser.add_argument('--serialize', default=False, action='store_true', help='Try to serialize the result')
 
     return vars(parser.parse_args())
 
@@ -103,6 +104,19 @@ def main():
                                               py_file,
                                               restricted=restricted)
 
+    if kwargs['serialize']:
+        os.environ['DJANGO_SETTINGS_MODULE'] = 'cvat.settings.production'
+        import django
+        django.setup()
+
+        from cvat.apps.engine.serializers import LabeledDataSerializer
+
+        serializer = LabeledDataSerializer(data=results)
+
+        if not serializer.is_valid():
+            logging.critical('Data unable to be serialized correctly!')
+            serializer.is_valid(raise_exception=True)
+
     logging.warning('Program didn\'t have any errors.')
     show_images = kwargs.get('show_images', False)