Local Point-Count Processing for Coral Photoquadrats

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Documentation for package ‘pointcoral’ version 0.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

check_crosswalk	Check a label crosswalk against point data
convert_cpce_coords	Convert CPCe coordinates to image pixel coordinates
export_coralnet_points	Export point labels in a simple CoralNet-style CSV
export_segformer_sparse	Export SegFormer-style sparse masks
export_yolo_classification	Export YOLO-style classification patches
extract_point_patches	Extract point-centered image patches
make_class_lookup	Make a class lookup table
make_ml_points	Make an ML-ready point-label table
make_sparse_masks	Create sparse semantic segmentation masks from point labels
match_images	Match CPCe point rows to image files
plot_points_on_image	Plot CPCe points on an image
qc_label_summary	Summarize point-label QC issues
read_cpce_export	Read a CPCe CSV or Excel export
read_cpce_file	Read one CPCe '.cpc' file
read_cpce_folder	Read CPCe files and exports from a folder
read_cpce_output_raw_tabs	Read _raw sheets from a CPCe output workbook
read_label_crosswalk	Read a label crosswalk
run_pointcoral	Run the full pointcoral workflow from folders
split_ml_points	Split ML points into train/validation/test sets
standardize_labels	Standardize CPCe labels with a crosswalk
summarize_images	Summarize points at image level
summarize_points	Summarize point counts and percent cover
summarize_sites	Summarize points at site level
summarize_transects	Summarize points at transect level
validate_points	Validate a point table
write_ml_points_csv	Write ML point CSV files
write_pointcoral_dataset	Write a complete pointcoral dataset from imported points
write_qc_overlays	Write QC overlays for point annotations
write_summary_tables	Write ecological summary tables