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  "Title": "Local Point-Count Processing for Coral Photoquadrats",
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  "Description": "Imports Coral Point Count with Excel extensions (CPCe)\npoint-count annotations and related exported tables,\nstandardizes labels with a user-supplied crosswalk, creates\necological cover summaries, writes quality-control overlays,\nand exports machine-learning-ready point labels, image patches,\nsparse masks, and train/validation/test splits. The package is\nfully local and does not depend on third-party web platforms,\nuser accounts, or other closed services. CPCe methods are\ndescribed by Kohler and Gill (2006) \"Coral Point Count with\nExcel extensions (CPCe): A Visual Basic program for the\ndetermination of coral and substrate coverage using random\npoint count methodology\" <doi:10.1016/j.cageo.2005.11.009>.",
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  "URL": "https://el-cordero.github.io/pointcoral/,\nhttps://github.com/el-cordero/pointcoral",
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  "Repository": "https://el-cordero.r-universe.dev",
  "Date/Publication": "2026-07-18 15:33:47 UTC",
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    "convert_cpce_coords",
    "export_coralnet_points",
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    "extract_point_patches",
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    "run_pointcoral",
    "split_ml_points",
    "standardize_labels",
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    "summarize_points",
    "summarize_sites",
    "summarize_transects",
    "validate_points",
    "write_ml_points_csv",
    "write_pointcoral_dataset",
    "write_qc_overlays",
    "write_summary_tables"
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      "title": "Check a label crosswalk against point data",
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      ]
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      "page": "convert_cpce_coords",
      "title": "Convert CPCe coordinates to image pixel coordinates",
      "topics": [
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      ]
    },
    {
      "page": "export_coralnet_points",
      "title": "Export point labels in a simple CoralNet-style CSV",
      "topics": [
        "export_coralnet_points"
      ]
    },
    {
      "page": "export_segformer_sparse",
      "title": "Export SegFormer-style sparse masks",
      "topics": [
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      ]
    },
    {
      "page": "export_yolo_classification",
      "title": "Export YOLO-style classification patches",
      "topics": [
        "export_yolo_classification"
      ]
    },
    {
      "page": "extract_point_patches",
      "title": "Extract point-centered image patches",
      "topics": [
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      ]
    },
    {
      "page": "make_class_lookup",
      "title": "Make a class lookup table",
      "topics": [
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      ]
    },
    {
      "page": "make_ml_points",
      "title": "Make an ML-ready point-label table",
      "topics": [
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      ]
    },
    {
      "page": "make_sparse_masks",
      "title": "Create sparse semantic segmentation masks from point labels",
      "topics": [
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      ]
    },
    {
      "page": "match_images",
      "title": "Match CPCe point rows to image files",
      "topics": [
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      ]
    },
    {
      "page": "plot_points_on_image",
      "title": "Plot CPCe points on an image",
      "topics": [
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      ]
    },
    {
      "page": "qc_label_summary",
      "title": "Summarize point-label QC issues",
      "topics": [
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      ]
    },
    {
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      "topics": [
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      ]
    },
    {
      "page": "read_cpce_file",
      "title": "Read one CPCe '.cpc' file",
      "topics": [
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      ]
    },
    {
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      "title": "Read CPCe files and exports from a folder",
      "topics": [
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      ]
    },
    {
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      "title": "Read _raw sheets from a CPCe output workbook",
      "topics": [
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      ]
    },
    {
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      "topics": [
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    },
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      "topics": [
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    },
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      "title": "Summarize points at site level",
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