pass in model name and task id to run auto annotation script (#934)

utils/auto_annotation/README.md

@@ -4,10 +4,26 @@ A small command line program to test and run AutoAnnotation Scripts.
 
 ## Instructions
 
-Change in to the root of the project directory and run
+There are two modes to run this script in. If you already have a model uploaded into the server, and you're having 
+issues with running it in production, you can pass in the model name and a task id that you want to test against.
 
 ```shell
-$ python cvat/utils/auto_annotation/run_model.py --py /path/to/python/interp.py \
+# Note that this module can be found in cvat/utils/auto_annotation/run_model.py
+$ python /path/to/run_model.py --model-name mymodel --task-id 4
+```
+
+If you're running in docker, this can be useful way to debug your model.
+
+``` shell
+$ docker exec -it cvat bash -ic 'python3 ~/cvat/apps/auto_annotation/run_model.py --model-name my-model --task-id 4
+```
+
+If you are developing an auto annotation model or you can't get something uploaded into the server, 
+then you'll need to specify the individual inputs.
+
+```shell
+# Note that this module can be found in cvat/utils/auto_annotation/run_model.py
+$ python path/to/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
@@ -18,7 +34,7 @@ Some programs need to run unrestricted or as an administer. Use the `--unrestric
 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_model.py --py /path/to/python/interp.py \
+$ python /path/to/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 \
@@ -29,7 +45,7 @@ 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_model.py --py /path/to/python/interp.py \
+$ python /path/to/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 \
@@ -40,7 +56,7 @@ $ python cvat/utils/auto_annotation/run_model.py --py /path/to/python/interp.py
 If you'd like to see the labels printed on the image, use the `--show-labels` flag
 
 ```shell
-$ python cvat/utils/auto_annotation/run_model.py --py /path/to/python/interp.py \
+$ python /path/to/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 \
@@ -55,7 +71,7 @@ In this example, 2000 milliseconds is 2 seconds for each image.
 
 ```shell
 # Display each image in a window for 2 seconds
-$ python cvat/utils/auto_annotation/run_model.py --py /path/to/python/interp.py \
+$ python /path/to/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 \
@@ -70,7 +86,7 @@ You must install the necessary packages installed, but then you can add the `--s
 results will serialize correctly.
 
 ```shell
-$ python cvat/utils/auto_annotation/run_model.py --py /path/to/python/interp.py \
+$ python /path/to/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 \

utils/auto_annotation/run_model.py

@@ -4,6 +4,8 @@ import json
 import argparse
 import random
 import logging
+import fnmatch
+from operator import xor
 
 import numpy as np
 import cv2
@@ -18,10 +20,14 @@ from cvat.apps.auto_annotation.inference import run_inference_engine_annotation
 
 def _get_kwargs():
     parser = argparse.ArgumentParser()
-    parser.add_argument('--py', required=True, help='Path to the python interpt file')
-    parser.add_argument('--xml', required=True, help='Path to the xml file')
-    parser.add_argument('--bin', required=True, help='Path to the bin file')
-    parser.add_argument('--json', required=True, help='Path to the JSON mapping file')
+    parser.add_argument('--py', help='Path to the python interpt file')
+    parser.add_argument('--xml', help='Path to the xml file')
+    parser.add_argument('--bin', help='Path to the bin file')
+    parser.add_argument('--json', help='Path to the JSON mapping file')
+
+    parser.add_argument('--model-name', help='Name of the model in the Model Manager')
+    parser.add_argument('--task-id', type=int, help='ID task used to test the model')
+
     parser.add_argument('--restricted', dest='restricted', action='store_true')
     parser.add_argument('--unrestricted', dest='restricted', action='store_false')
     parser.add_argument('--image-files', nargs='*', help='Paths to image files you want to test')
@@ -56,14 +62,75 @@ def find_min_y(array):
 
     return array[index]
 
+def _get_docker_files(model_name: str, task_id: int):
+    os.environ['DJANGO_SETTINGS_MODULE'] = 'cvat.settings.development'
+
+    import django
+    django.setup()
+
+    from cvat.apps.auto_annotation.models import AnnotationModel
+    from cvat.apps.engine.models import Task as TaskModel
+
+    task = TaskModel(pk=task_id)
+    model = AnnotationModel.objects.get(name=model_name)
+
+    images_dir = task.get_data_dirname()
+
+    py_file = model.interpretation_file.name
+    mapping_file = model.labelmap_file.name
+    xml_file = model.model_file.name
+    bin_file = model.weights_file.name
+
+    image_files = []
+    for root, _, filenames in os.walk(images_dir):
+        for filename in fnmatch.filter(filenames, '*.jpg'):
+            image_files.append(os.path.join(root, filename))
+
+    return py_file, mapping_file, bin_file, xml_file, image_files
+
 
 def main():
     kwargs = _get_kwargs()
 
-    py_file = kwargs['py']
-    bin_file = kwargs['bin']
-    mapping_file = kwargs['json']
-    xml_file = kwargs['xml']
+    py_file = kwargs.get('py')
+    bin_file = kwargs.get('bin')
+    mapping_file = kwargs.get('json')
+    xml_file = kwargs.get('xml')
+
+    model_name = kwargs.get('model_name')
+    task_id = kwargs.get('task_id')
+
+    is_docker = model_name and task_id
+
+    # xor is `exclusive or`. English is: if one or the other but not both
+    if xor(bool(model_name), bool(task_id)):
+        logging.critical('Must provide both `--model-name` and `--task-id` together!')
+        return
+
+    if is_docker:
+        files = _get_docker_files(model_name, task_id)
+        py_file = files[0]
+        mapping_file = files[1]
+        bin_file = files[2]
+        xml_file = files[3]
+        image_files = files[4]
+    else:
+        return_ = False
+        if not py_file:
+            logging.critical('Must provide --py file!')
+            return_ = True
+        if not bin_file:
+            logging.critical('Must provide --bin file!')
+            return_ = True
+        if not xml_file:
+            logging.critical('Must provide --xml file!')
+            return_ = True
+        if not mapping_file:
+            logging.critical('Must provide --json file!')
+            return_ = True
+
+        if return_:
+            return
 
     if not os.path.isfile(py_file):
         logging.critical('Py file not found! Check the path')
@@ -98,6 +165,8 @@ def main():
     mapping = {int(k): v for k, v in mapping.items()}
 
     restricted = kwargs['restricted']
+
+    if not is_docker:
         image_files = kwargs.get('image_files')
 
     if image_files: