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  • official/projects/waste_identification_ml/Triton_TF_Cloud_Deployment/client

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official/projects/waste_identification_ml/Triton_TF_Cloud_Deployment/client/run_images.sh

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@@ -27,8 +27,8 @@ Steps Performed:
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--memory : Number of frames an object can be missed and still be
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tracked.
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--project_id : Google Cloud Project ID for BigQuery operations.
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--dataset_id : BigQuery Dataset ID where results will be stored.
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--table_id : BigQuery Table ID where results will be stored.
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--bq_dataset_id : BigQuery Dataset ID where results will be stored.
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--bq_table_id : BigQuery Table ID where results will be stored.
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--overwrite : If set to True, overwrites the pre-existing BigQuery
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table.
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EOF
@@ -44,7 +44,7 @@ else
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exit 1
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fi
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python pipeline_images.py \
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python inference_pipeline.py \
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--input_directory=gs://recykal/TestData/Delterra \
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--output_directory=gs://recykal/TestData/output \
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--height=1024 \
@@ -55,6 +55,6 @@ python pipeline_images.py \
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--search_range_y=20 \
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--memory=1 \
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--project_id=waste-identification-ml-330916 \
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--dataset_id=circularnet_dataset \
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--table_id=circularnet_table \
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--bq_dataset_id=circularnet_dataset \
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--bq_table_id=circularnet_table \
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--overwrite=True

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