shashichilappagari commited on
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cccc500
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1 Parent(s): 14a1577

Update app.py

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  1. app.py +3 -3
app.py CHANGED
@@ -13,13 +13,13 @@ hw_location = "@cloud"
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  # Use cloud_zoo_url for @cloud, @local, and AI server inference options.
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  # Use '' for an AI server serving models from a local folder.
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  # Use a path to a JSON file for a single model zoo in case of @local inference.
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- model_zoo_url = "https://cs.degirum.com/degirum/public"
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  # lp_det_model_name: Name of the model for license plate detection.
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- lp_det_model_name = "yolo_v5s_lp_det--512x512_quant_n2x_orca1_1"
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  # lp_ocr_model_name: Name of the model for license plate OCR.
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- lp_ocr_model_name = "yolo_v5s_lp_ocr--256x256_quant_n2x_orca1_1"
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  # Connect to AI inference engine
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  model_zoo = dg.connect(hw_location, model_zoo_url, token=st.secrets["DG_TOKEN"])
 
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  # Use cloud_zoo_url for @cloud, @local, and AI server inference options.
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  # Use '' for an AI server serving models from a local folder.
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  # Use a path to a JSON file for a single model zoo in case of @local inference.
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+ model_zoo_url = "https://cs.degirum.com/degirum/degirum"
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  # lp_det_model_name: Name of the model for license plate detection.
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+ lp_det_model_name = "yolov8n_relu6_global_lp_det--640x640_quant_n2x_orca1_1"
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  # lp_ocr_model_name: Name of the model for license plate OCR.
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+ lp_ocr_model_name = "yolov8s_relu6_lp_ocr_7ch--256x128_quant_n2x_orca1_1"
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  # Connect to AI inference engine
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  model_zoo = dg.connect(hw_location, model_zoo_url, token=st.secrets["DG_TOKEN"])