Day #249 - Porting Base faster_rcnn_inception_v2_coco_2018_01_28 Model to OpenVino

• This model was downloaded from link - http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_v2_coco_2018_01_28.tar.gz
• Openvino says this model is supported - This link contains models supported. https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_TensorFlow.html#inpage-nav-2-1
• Execute command in Python Console - 

C:\Intel\openvino_2019.1.133\deployment_tools\model_optimizer\python mo_tf.py --data_type=FP32 --tensorflow_object_detection_api_pipeline_config "C:\faster_rcnn_inception_v2_coco_2018_01_28\pipeline.config" --tensorflow_use_custom_operations_config "C:\Intel\openvino_2019.1.133\deployment_tools\model_optimizer\extensions\front\tf\faster_rcnn_support.json" --input_model "C:\frozen_inference_graph.pb"

Porting in OpenVino format is successful, However, I did encounter other issues in custom training. Will share learning's after finding a solution.

Happy Mastering DL!!!