training scripts commands.txt

Train Tensorflow model Google Cloud-------------------------------

<In the models/research directory>
protoc object_detection/protos/*.proto --python_out=.
export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim
python setup.py sdist
(cd slim && python setup.py sdist)

gcloud ml-engine jobs submit training `whoami`_object_detection_resnet_`date +%m_%d_%Y_%H_%M_%S` \
    --runtime-version 1.15 \
    --job-dir=${YOUR_GCS_BUCKET}/train-resnet-lionfish \
    --region us-east1 \
    --packages dist/object_detection-0.1.tar.gz,slim/dist/slim-0.1.tar.gz,dist/absl-py-0.9.0.tar.gz,dist/pytools-2020.1.tar.gz,dist/pycocotools-2.0.0.tar.gz \
    --module-name object_detection.model_main \
	--config object_detection/samples/cloud/cloud3.yml \
    -- \
	--model_dir=${YOUR_GCS_BUCKET}/train-resnet-lionfish \
	--train_dir=${YOUR_GCS_BUCKET}/train-resnet-lionfish \
    --pipeline_config_path=${YOUR_GCS_BUCKET}/data-resnet-lionfish/pipeline.config

Tensorboard-------------------------------------------

tensorboard --logdir=${YOUR_GCS_BUCKET}/train-resnet-lionfish

Convert Tensorflow to frozen pb--------------------

python object_detection/export_inference_graph.py \
    --input_type image_tensor \
    --pipeline_config_path pipeline.config \
    --trained_checkpoint_prefix model.ckpt-76678 \
    --output_directory output_inference_graph.pb