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Freeze graph\n\n    ```bash\n    cd automl/efficientdet\n    python3 model_inspect.py --runmode=saved_model --model_name=efficientdet-d4 --ckpt_path=efficientdet-d4 --saved_model_dir=savedmodeldir\n    ```\n\n2. Create IR\n    ```bash\n    git clone https://github.com/openvinotoolkit/openvino --depth 1\n\n    python3 openvino/model-optimizer/mo.py \\\n      --input_model efficientdet-d4.pb \\\n      --transformations_config openvino/model-optimizer/extensions/front/tf/automl_efficientdet.json \\\n      --input_shape \"[1, 1024, 1024, 3]\"\n    ```\n    find resolution of your model at https://github.com/google/automl/blob/master/efficientdet/hparams_config.py\n\n    `automl_efficientdet.json` contains topology hyper-parameters\n\n3. Validate model comparing accuracy with an original frozen TensorFlow graph\n    ```bash\n    python3 scripts/validate.py --version d4 --width 1024 --height 1024\n    ```\n\n\u003cimg src=\"./images/res_d4.jpg\" width=\"512\"\u003e\n","funding_links":["https://www.buymeacoffee.com/dkurt"],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdkurt%2Fopenvino_efficientdet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdkurt%2Fopenvino_efficientdet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdkurt%2Fopenvino_efficientdet/lists"}