# Local Point-Count Processing for Coral Photoquadrats

## 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