Merge pull request #3264 from Wovchena/demos/tests-add-time_series_forecasting_demo

demos/tests: add time_series_forecasting_demo

Author: Wovchena

demos/tests/cases.py

@@ -1337,6 +1337,9 @@ def single_option_cases(key, *args):
         ]
     )),
 
+    PythonDemo(name='time_series_forecasting_demo', device_keys=[],
+        model_keys=['-m'], test_cases=[TestCase(options={'-h': ''})]),
+
     PythonDemo(name='whiteboard_inpainting_demo', device_keys=['-d'],
                model_keys=['-m_i', '-m_s'], test_cases=combine_cases(
         TestCase(options={'-i': TestDataArg('msasl/global_crops/_nz_sivss20/clip_0017/img_%05d.jpg'),

demos/time_series_forecasting_demo/python/README.md

@@ -12,12 +12,6 @@ The program provides an interactive CLI interface that gets a test dataset in .p
 
 ## Preparing to Run
 
-Install required dependencies with command:
-
-```sh
-pip install -r requirements.txt
-```
-
 The list of models supported by the demo is in `<omz_dir>/demos/whiteboard_inpainting_demo/python/models.lst` file.
 This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin).
 

demos/time_series_forecasting_demo/python/time_series_forecasting_demo.py

@@ -21,7 +21,8 @@
 import matplotlib.pyplot as plt
 import matplotlib.animation as animation
 from openvino.runtime import Core, get_version
-from accuracy_checker.dataset import read_annotation
+from openvino.tools.accuracy_checker.dataset import read_annotation
+
 
 log.basicConfig(format='[ %(levelname)s ] %(message)s', level=log.DEBUG, stream=sys.stdout)