1、yolov3
python /app/intel/openvino/deployment_tools/model_optimizer/mo_tf.py --input_model frozen_yolov3_model.pb --tensorflow_use_custom_operations_config /app/intel/openvino/deployment_tools/model_optimizer/extensions/front/tf/yolo_v3.json --b 1 --data_type FP32
2、mobilenet v2
进入下载模型路径下
cd /app/openvino_models/ir/FP32/public/ssd_mobilenet_v2_coco/ssd_mobilenet_v2_coco_2018_03_29/
python /app/intel/openvino/deployment_tools/model_optimizer/mo_tf.py --input_model frozen_inference_graph.pb --output=detection_boxes,detection_scores,num_detections --tensorflow_use_custom_operations_config /app/intel/openvino/deployment_tools/model_optimizer/extensions/front/tf/ssd_v2_support.json --tensorflow_object_detection_api_pipeline_config ./pipeline.config --data_type FP32
3、faster_rcnn_resnet101_coco
python /app/intel/openvino/deployment_tools/mod