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Remove unnecessary edit in the example config files
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examples/mineral-extract-sites-detection/config_trne.yaml

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@@ -57,7 +57,6 @@ train_model.py:
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detectron2_config_file: ../../detectron2_config_dqry.yaml # path relative to the working_folder
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model_weights:
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model_zoo_checkpoint_url: COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml
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init_model_weights: False
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# Object detection with the optimised trained model
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make_detections.py:

examples/swimming-pool-detection/GE/config_GE.yaml

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@@ -45,7 +45,6 @@ train_model.py:
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detectron2_config_file: '../detectron2_config_GE.yaml' # path relative to the working_folder
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model_weights:
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model_zoo_checkpoint_url: "COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml"
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init_model_weights: False
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make_detections.py:
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working_directory: output_GE

examples/swimming-pool-detection/NE/config_NE.yaml

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@@ -50,7 +50,6 @@ train_model.py:
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detectron2_config_file: '../detectron2_config_NE.yaml' # path relative to the working_folder
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model_weights:
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model_zoo_checkpoint_url: "COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml"
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init_model_weights: False
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make_detections.py:
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working_directory: output_NE
@@ -84,4 +83,4 @@ assess_detections.py:
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tst: tst_detections_at_0dot05_threshold.gpkg
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oth: oth_detections_at_0dot05_threshold.gpkg
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output_folder: .
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metrics_method: micro-average # 1: macro-average ; 3: macro-weighted-average ; 2: micro-average
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metrics_method: micro-average # 1: macro-average ; 3: macro-weighted-average ; 2: micro-average

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