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"get_uuid", "title": "Extract UUID from filenames", "topics": [ "get_uuid" ] }, { "page": "ggplot_color", "title": "ggplot2-like colors generation", "topics": [ "ggplot_color" ] }, { "page": "gpa", "title": "Generalized Procrustes Analysis", "topics": [ "gpa" ] }, { "page": "hist.image", "title": "Compute and Plot Histogram for an 'image' Object", "topics": [ "hist.image" ] }, { "page": "image", "title": "The 'image' class constructor and utilities", "topics": [ "as_image", "image", "is_image" ] }, { "page": "image_align", "title": "Aligns an 'image' object by hand", "topics": [ "image_align" ] }, { "page": "image_alpha", "title": "Add Alpha Layer to an RGB Image", "topics": [ "image_alpha" ] }, { "page": "image_augment", "title": "Augment Images", "topics": [ "image_augment" ] }, { "page": "image_binary", "title": "Creates a binary image", "topics": [ "image_binary" ] }, { "page": "image_binary_dl", "title": "Deep Learning Binary Mask Extraction", "topics": [ "image_binary_dl" ] }, { "page": "image_bwlabel", "title": "Label connected components in a binary image", "topics": [ "image_bwlabel" ] }, { "page": "image_canny_edge", "title": "Canny Edge Detector", "topics": [ "image_canny_edge" ] }, { "page": "image_classify_dl", "title": "Real-Time and Zero-Shot Image Classification", "topics": [ "image_classify_dl" ] }, { "page": "image_color_labels", "title": "Colorize Labeled Images", "topics": [ "image_color_labels" ] }, { "page": "image_combine", "title": "Combines images to a grid", "topics": [ "image_combine" ] }, { "page": "image_contour_line", "title": "Smooth Contour Line Detection", "topics": [ "image_contour_line" ] }, { "page": "image_correction", "title": "Correct Image Colors using a Color Checker", "topics": [ "image_correction" ] }, { "page": "image_correction_pick", "title": "Interactive Color Correction", "topics": [ "image_correction_pick" ] }, { "page": "image_create", "title": "Create an 'image' object of a given color", "topics": [ "image_create" ] }, { "page": "image_data", "title": "Extract raw or numeric image data array/matrix", "topics": [ "image_data", "image_data.image" ] }, { "page": "image_depth_dl", "title": "Estimate Relative 3D Depth with Depth Anything V2", "topics": [ "image_depth_dl" ] }, { "page": "image_detect_dl", "title": "Universal Object Detection with YOLO26", "topics": [ "image_detect_dl" ] }, { "page": "image_detect_sahi", "title": "Slicing Aided Hyper Inference (SAHI) for Object Detection", "topics": [ "image_detect_sahi" ] }, { "page": "image_detect_world", "title": "Open-Vocabulary Zero-Shot Object Detection with YOLO-World", "topics": [ "image_detect_world" ] }, { "page": "image_embed_dl", "title": "Extract Image Embeddings with OpenAI CLIP ViT-B/32", "topics": [ "image_embed_dl" ] }, { "page": "image_expand", "title": "Expands an image", "topics": [ "image_expand" ] }, { "page": "image_features_dl", "title": "Extract Foundation Features and Semantic Visualization with DINOv2", "topics": [ "image_features_dl" ] }, { "page": "image_generate_dl", "title": "Ultra-Fast Generative Image Synthesis with SD-Turbo / LCM", "topics": [ "image_generate_dl" ] }, { "page": "image_index", "title": "Image indexes", "topics": [ "image_index", "plot.image_index" ] }, { "page": "image_inpaint_dl", "title": "Generative AI Image Inpainting with SD-Turbo", "topics": [ "image_inpaint_dl" ] }, { "page": "image_label", "title": "Label Connected Components in a Binary Image", "topics": [ "image_label" ] }, { "page": "image_line_segment", "title": "Line Segment Detection in an Image", "topics": [ "image_line_segment" ] }, { "page": "image_pose_dl", "title": "Universal Human Pose Estimation with YOLO26", "topics": [ "image_pose_dl" ] }, { "page": "image_prepare", "title": "Prepare an image", "topics": [ "image_prepare" ] }, { "page": "image_remove_bg_dl", "title": "Deep Learning Background Removal (Transparent / RGBA)", "topics": [ "image_remove_bg", "image_remove_bg_dl" ] }, { "page": "image_remove_reflection", "title": "Remove Specular Light Reflections", "topics": [ "image_remove_reflection" ] }, { "page": "image_resize", "title": "Resize an image", "topics": [ "image_resize" ] }, { "page": "image_segment", "title": "Image segmentation", "topics": [ "image_segment", "image_segment_iter" ] }, { "page": "image_segment_dl", "title": "Deep Learning Semantic & Instance Segmentation, Object Detection, and Visual Exemplar Counting", "topics": [ "image_segment_dl" ] }, { "page": "image_segment_kmeans", "title": "Image segmentation using k-means clustering", "topics": [ "image_segment_kmeans" ] }, { "page": "image_segment_manual", "title": "Image segmentation by hand", "topics": [ "image_segment_manual" ] }, { "page": "image_segment_mask", "title": "Segment an 'image' object using a brush mask", "topics": [ "image_segment_mask" ] }, { "page": "image_segment_sahi", "title": "Slicing Aided Hyper Inference (SAHI) for Instance Segmentation", "topics": [ "image_segment_sahi" ] }, { "page": "image_shp", "title": "Construct a shape file from an image", "topics": [ "image_shp" ] }, { "page": "image_skeleton_mat", "title": "Medial Axis Tree (MAT) Topological Skeletonization", "topics": [ "image_skeleton_mat" ] }, { "page": "image_square", "title": "Squares an image", "topics": [ "image_square" ] }, { "page": "image_stardist_dl", "title": "Star-Convex Object Detection with StarDist", "topics": [ "image_stardist_dl" ] }, { "page": "image_stitch", "title": "Native Planar Image Stitching and Panorama", "topics": [ "image_stitch" ] }, { "page": "image_superres_dl", "title": "4x Super-Resolution with Real-ESRGAN Compact", "topics": [ "image_superres_dl" ] }, { "page": "image_thinning_guo_hall", "title": "Perform Guo-Hall thinning on a binary image or list of binary images", "topics": [ "image_thinning_guo_hall" ] }, { "page": "image_to_mat", "title": "Convert an image to a data.frame", "topics": [ "image_to_mat" ] }, { "page": "image_transpose", "title": "Transpose an Image", "topics": [ "image_transpose", "t.image" ] }, { "page": "image_view", "title": "Create an interactive map view of an image", "topics": [ "image_view" ] }, { "page": "image_watershed", "title": "Intelligent Morphological Watershed (Spanning Forest + Union-Find)", "topics": [ "image_watershed" ] }, { "page": "landmarks", "title": "Create image landmarks", "topics": [ "landmarks" ] }, { "page": "landmarks_add", "title": "Artificially inflates the number of landmarks", "topics": [ "landmarks_add" ] }, { "page": "landmarks_angle", "title": "Angles between landmarks", "topics": [ "landmarks_angle" ] }, { "page": "landmarks_dist", "title": "Distances between landmarks", "topics": [ "landmarks_dist" ] }, { "page": "landmarks_regradi", "title": "Pseudolandmarks with equally spaced angles", "topics": [ "landmarks_regradi" ] }, { "page": "leading_zeros", "title": "Add leading zeros to a numeric sequence", "topics": [ "leading_zeros" ] }, { "page": "line_on_halfplot", "title": "Extract mid‐lines from half‐plots", "topics": [ "line_on_halfplot" ] }, { "page": "list_cameras", "title": "List Connected Video Cameras", "topics": [ "list_cameras" ] }, { "page": "make_brush", "title": "Makes a brush", "topics": [ "make_brush" ] }, { "page": "make_mask", "title": "Makes a mask in an image", "topics": [ "make_mask" ] }, { "page": "mean.image", "title": "Mean method for 'image' objects", "topics": [ "mean.image" ] }, { "page": "measure_disease", "title": "Performs plant disease measurements", "topics": [ "measure_disease", "measure_disease_iter" ] }, { "page": "measure_disease_byl", "title": "Performs plant disease measurements by leaf", "topics": [ "measure_disease_byl" ] }, { "page": "measure_disease_shp", "title": "Measure disease using shapefiles", "topics": [ "measure_disease_shp" ] }, { "page": "measure_injury", "title": "Measures Injury in Images", "topics": [ "measure_injury" ] }, { "page": "model_to_int8", "title": "Convert Installed ONNX Models to 8-Bit Precision (INT8)", "topics": [ "models_to_int8", "model_to_int8" ] }, { "page": "mosaic_aggregate", "title": "SpatRaster aggregation", "topics": [ "mosaic_aggregate" ] }, { "page": "mosaic_analyze", "title": "Analyze a mosaic of remote sensing data", "topics": [ "mosaic_analyze" ] }, { "page": "mosaic_analyze_iter", "title": "Analyze mosaics iteratively", "topics": [ "mosaic_analyze_iter" ] }, { "page": "mosaic_chm", "title": "Calculate Canopy Height Model and Volume", "topics": [ "mosaic_chm" ] }, { "page": "mosaic_chm_extract", "title": "Extracts height metrics and plot quality from a Canopy Height Model (CHM)", "topics": [ "mosaic_chm_extract" ] }, { "page": "mosaic_chm_mask", "title": "Apply a height mask to CHM data", "topics": [ "mosaic_chm_mask" ] }, { "page": "mosaic_classify", "title": "Classify a Mosaic Based on Index Breaks", "topics": [ "mosaic_classify" ] }, { "page": "mosaic_clip", "title": "Clip Raster Mosaic by Polygons", "topics": [ "mosaic_clip" ] }, { "page": "mosaic_crop", "title": "Crop or Mask a Mosaic Raster", "topics": [ "mosaic_crop" ] }, { "page": "mosaic_draw", "title": "Drawing Lines or Polygons with Raster Information", "topics": [ "mosaic_draw" ] }, { "page": "mosaic_epsg", "title": "Determine EPSG Code for a Mosaic", "topics": [ "mosaic_epsg" ] }, { "page": "mosaic_extract", "title": "Extract Values from a Raster Mosaic Using a Shapefile", "topics": [ "extract_cpp", "mosaic_extract" ] }, { "page": "mosaic_hist", "title": "A wrapper around terra::hist()", "topics": [ "mosaic_hist" ] }, { "page": "mosaic_index", "title": "Mosaic Index", "topics": [ "mosaic_index" ] }, { "page": "mosaic_index2", "title": "Mosaic Index with GDAL", "topics": [ "mosaic_index2" ] }, { "page": "mosaic_input", "title": "Create and Export mosaics", "topics": [ "mosaic_export", "mosaic_input" ] }, { "page": "mosaic_interpolate", "title": "Mosaic interpolation", "topics": [ "mosaic_interpolate" ] }, { "page": "mosaic_lonlat2epsg", "title": "Project a Mosaic from Lon/Lat to EPSG-based CRS", "topics": [ "mosaic_lonlat2epsg" ] }, { "page": "mosaic_plot", "title": "A wrapper around terra::plot()", "topics": [ "mosaic_plot" ] }, { "page": "mosaic_plot_rgb", "title": "A wrapper around terra::plotRGB()", "topics": [ "mosaic_plot_rgb" ] }, { "page": "mosaic_prepare", "title": "Prepare a mosaic", "topics": [ "mosaic_prepare" ] }, { "page": "mosaic_project", "title": "Project a Mosaic to a New Coordinate Reference System (CRS)", "topics": [ "mosaic_project" ] }, { "page": "mosaic_resample", "title": "A wrapper around terra::resample()", "topics": [ "mosaic_resample" ] }, { "page": "mosaic_rotate", "title": "Rotate a mosaic image by specified angles", "topics": [ "mosaic_rotate" ] }, { "page": "mosaic_segment", "title": "Segment a mosaic", "topics": [ "mosaic_segment" ] }, { "page": "mosaic_segment_pick", "title": "Segments a mosaic interactively", "topics": [ "mosaic_segment_pick" ] }, { "page": "mosaic_to_pliman", "title": "Mosaic to pliman", "topics": [ "mosaic_to_pliman" ] }, { "page": "mosaic_to_rgb", "title": "Mosaic to RGB", "topics": [ "mosaic_to_rgb" ] }, { "page": "mosaic_vectorize", "title": "Vectorize a 'SpatRaster' mask to an 'sf' object", "topics": [ "mosaic_vectorize" ] }, { "page": "mosaic_view", "title": "Mosaic View", "topics": [ "mosaic_view" ] }, { "page": "object_bbox", "title": "Compute Bounding Boxes from Contours", "topics": [ "object_bbox" ] }, { "page": "object_edge", "title": "Object edges", "topics": [ "object_edge" ] }, { "page": "object_export", "title": "Export multiple objects from an image to multiple images", "topics": [ "object_export" ] }, { "page": "object_export_shp", "title": "Export multiple objects from an image to multiple images", "topics": [ "object_export_shp" ] }, { "page": "object_haralick", "title": "Compute Haralick texture features", "topics": [ "object_haralick" ] }, { "page": "object_label", "title": "Labels objects", "topics": [ "object_label" ] }, { "page": "object_map", "title": "Map Object Distances", "topics": [ "object_map" ] }, { "page": "object_mark", "title": "Mark Object Points", "topics": [ "object_mark" ] }, { "page": "object_rgb", "title": "Extract red, green and blue values from objects", "topics": [ "object_rgb" ] }, { "page": "object_scatter", "title": "Plot object thumbnails at (x, y) coordinates derived from image features", "topics": [ "object_scatter" ] }, { "page": "object_split", "title": "Splits objects from an image into multiple images", "topics": [ "object_split" ] }, { "page": "object_split_shp", "title": "Splits image objects based on a shape file", "topics": [ "object_split_shp" ] }, { "page": "object_to_color", "title": "Apply color to image objects", "topics": [ "object_to_color" ] }, { "page": "object_veins", "title": "Object veins detection and quantification", "topics": [ "object_veins" ] }, { "page": "onnx_install", "title": "Proprietary ONNX Runtime Installer for pliman", "topics": [ "onnx_install", "pliman_install_onnx" ] }, { "page": "onnx_quantize", "title": "Quantize ONNX Models to 8-Bit Precision (INT8)", "topics": [ "onnx_quantize" ] }, { "page": "Ops.image", "title": "Group generic Ops method for 'image' objects", "topics": [ "Ops.image" ] }, { "page": "order_quad_corners", "title": "Order Quadrilateral Corners Topologically", "topics": [ "order_quad_corners" ] }, { "page": "otsu", "title": "Calculate Otsu's threshold", "topics": [ "otsu" ] }, { "page": "palettes", "title": "Create image palettes", "topics": [ "image_palette", "palettes" ] }, { "page": "pipe", "title": "Forward-pipe operator", "topics": [ "%>%", "pipe" ] }, { "page": "pixel_index", "title": "Get the pixel indices for a given row of a binary image", "topics": [ "pixel_index" ] }, { "page": "pliman_available_models", "title": "List Available Pre-Trained Neural Models", "topics": [ "pliman_available_models" ] }, { "page": "pliman_clear_sessions", "title": "Clear Cached ONNX Runtime Sessions", "topics": [ "pliman_clear_sessions" ] }, { "page": "pliman_configure_dl", "title": "Configure Complete Deep Learning Environment for pliman (100% Native C++)", "topics": [ "pliman_configure_dl" ] }, { "page": "pliman_download_model", "title": "Download Pre-Trained Neural Models", "topics": [ "pliman_download_model" ] }, { "page": "pliman_download_onnx", "title": "Download Microsoft ONNX Runtime C++ Library Directly", "topics": [ "pliman_download_onnx" ] }, { "page": "pliman_gpu_info", "title": "GPU Information and DirectML Status in pliman", "topics": [ "pliman_gpu_info" ] }, { "page": "pliman_images", "title": "Sample images", "topics": [ "pliman_images" ] }, { "page": "pliman_indexes_ican_compute", "title": "List Computable Indexes Based on Available Bands", "topics": [ "pliman_indexes_ican_compute" ] }, { "page": "pliman_model_dir", "title": "Model Directory Management for pliman Deep Learning Models", "topics": [ "pliman_model_dir" ] }, { "page": "pliman_models_base_url", "title": "Get Base URL for Pre-Trained Neural Models", "topics": [ "pliman_models_base_url" ] }, { "page": "pliman_onnx_dir", "title": "Directory for ONNX Runtime C++ Shared Libraries", "topics": [ "pliman_onnx_dir" ] }, { "page": "pliman_onnx_lib_path", "title": "Locate ONNX Runtime C++ Shared Library", "topics": [ "pliman_onnx_lib_path" ] }, { "page": "pliman_viewer", "title": "Global option for controlling the viewer in pliman package", "topics": [ "pliman_viewer" ] }, { "page": "plot_bbox", "title": "Add Bounding Boxes to an Existing Plot", "topics": [ "plot_bbox" ] }, { "page": "plot_id", "title": "Generate plot IDs with different layouts", "topics": [ "plot_id" ] }, { "page": "plot_index", "title": "Plot an image index", "topics": [ "plot_index" ] }, { "page": "plot_index_shp", "title": "Plot rectangles colored by a quantitative attribute and overlay on an RGB image", "topics": [ "plot_index_shp" ] }, { "page": "plot_line_segment", "title": "Plot Detected Line Segments", "topics": [ "plot_line_segment" ] }, { "page": "plot_lw", "title": "Plot length and width lines on objects", "topics": [ "plot_lw" ] }, { "page": "plot_yolo_heatmap", "title": "Plot YOLO Feature Activation Heatmap", "topics": [ "plot_yolo_heatmap" ] }, { "page": "plot.image", "title": "Plot method for 'image' objects", "topics": [ "plot.image" ] }, { "page": "plot.image_shp", "title": "S3 method 'plot' for 'image_shp' objects", "topics": [ "plot.image_shp" ] }, { "page": "plot.root_analysis", "title": "Plot method for root_analysis objects", "topics": [ "plot.root_analysis" ] }, { "page": "plot.yolo_fewshot_model", "title": "Plot a Few-Shot Exemplar Model", "topics": [ "plot.yolo_fewshot_model" ] }, { "page": "plot.yolo_train", "title": "Plot Diagnostic Evaluations and Performance Curves for YOLO Models", "topics": [ "plot.yolo_train" ] }, { "page": "poly_apex_base_angle", "title": "Calculate the apex and base angles of an object", "topics": [ "poly_apex_base_angle" ] }, { "page": "poly_pcv", "title": "Compute Perimeter Complexity Value (PCV)", "topics": [ "poly_pcv" ] }, { "page": "poly_width_at", "title": "Width at a given height", "topics": [ "poly_width_at" ] }, { "page": "predict_binary_glm", "title": "Fast Binary Image Prediction from a Logistic Regression Model", "topics": [ "predict_binary_glm" ] }, { "page": "prepare_to_shp", "title": "Prepare images to analyze_objects_shp()", "topics": [ "prepare_to_shp" ] }, { "page": "print.image", "title": "Print method for 'image' objects", "topics": [ "print.image" ] }, { "page": "print.pliman_video_frames", "title": "Print method for pliman_video_frames", "topics": [ "print.pliman_video_frames" ] }, { "page": "print.root_analysis", "title": "Print method for root_analysis objects", "topics": [ "print.root_analysis" ] }, { "page": "print.yolo_train", "title": "Print YOLO Training Summary", "topics": [ "print.yolo_train" ] }, { "page": "random_color", "title": "Random built-in color names", "topics": [ "random_color" ] }, { "page": "remove_reflection_cpp", "title": "Grayscale Reflection Removal via Masked Median Inpainting", "topics": [ "remove_reflection_cpp" ] }, { "page": "rgb_image", "title": "Create an RGB Image from Red, Green, and Blue Channels", "topics": [ "rgbImage", "rgb_image" ] }, { "page": "root_analyze", "title": "Advanced Root System Phenotyping Architecture", "topics": [ "root_analyze" ] }, { "page": "sad", "title": "Produces Santandard Area Diagrams", "topics": [ "sad" ] }, { "page": "sentinel_to_tif", "title": "Convert Sentinel data to GeoTIFF format", "topics": [ "sentinel_to_tif" ] }, { "page": "separate_col", "title": "Turns a single character column into multiple columns.", "topics": [ "separate_col" ] }, { "page": "set_pliman_viewer", "title": "Set the value of the pliman_viewer option", "topics": [ "set_pliman_viewer" ] }, { "page": "shapefile_build", "title": "Build a shapefile from a mosaic raster", "topics": [ "shapefile_build" ] }, { "page": "shapefile_edit", "title": "Edit Features in a Shapefile", "topics": [ "shapefile_edit" ] }, { "page": "shapefile_interpolate", "title": "Interpolate values at specific points based on coordinates and a target variable", "topics": [ "shapefile_interpolate" ] }, { "page": "shapefile_measures", "title": "Extract geometric measures from a shapefile object", "topics": [ "shapefile_measures" ] }, { "page": "shapefile_operations", "title": "Spatial Operations on Shapefiles", "topics": [ "shapefile_crosses", "shapefile_difference", "shapefile_intersection", "shapefile_operations", "shapefile_outside", "shapefile_overlaps", "shapefile_touches", "shapefile_union", "shapefile_within" ] }, { "page": "shapefile_plot", "title": "A wrapper around terra::plot()", "topics": [ "shapefile_plot" ] }, { "page": "shapefile_surface", "title": "Generate a spatial surface plot based on interpolated values", "topics": [ "shapefile_surface" ] }, { "page": "shapefile_transform", "title": "Apply Affine Transformations to Spatial Grids", "topics": [ "shapefile_transform" ] }, { "page": "summary_index", "title": "Summary an object index", "topics": [ "summary_index" ] }, { "page": "Summary.image", "title": "Group generic Summary method for 'image' objects (min, max, range, sum, prod, any, all)", "topics": [ "Summary.image" ] }, { "page": "text_embed_dl", "title": "Extract Text Embeddings with OpenAI CLIP ViT-B/32", "topics": [ "text_embed_dl" ] }, { "page": "to_numeric", "title": "Convert 'image' between raw (0..255 uint8) and numeric (0..1 double)", "topics": [ "to_numeric", "to_raw" ] }, { "page": "utils_colorspace", "title": "Convert between colour spaces", "topics": [ "rgb_to_hsb", "rgb_to_lab", "rgb_to_srgb", "utils_colorspace" ] }, { "page": "utils_dpi", "title": "Utilities for image resolution", "topics": [ "cm_to_dpi", "cm_to_pixels", "distance", "dpi", "dpi_to_cm", "npixels", "pixels_to_cm", "utils_dpi" ] }, { "page": "utils_file", "title": "Utilities for file manipulation", "topics": [ "file_dir", "file_extension", "file_name", "manipulate_files", "utils_file" ] }, { "page": "utils_image", "title": "Import and export images", "topics": [ "image_export", "image_import", "image_input", "image_pliman", "utils_image" ] }, { "page": "utils_indexes", "title": "Utilities for image indexes", "topics": [ "pliman_indexes", "pliman_indexes_eq", "pliman_indexes_hs", "pliman_indexes_me", "pliman_indexes_rgb", "utils_indexes" ] }, { "page": "utils_measures", "title": "Utilities for object measures", "topics": [ "get_measures", "plot_measures", "utils_measures" ] }, { "page": "utils_neural", "title": "Deep Learning Background Removal & Salient Object Segmentation in pliman", "topics": [ "utils_neural" ] }, { "page": "utils_objects", "title": "Utilities for working with image objects", "topics": [ "object_contour", "object_coord", "object_id", "object_isolate", "utils_objects" ] }, { "page": "utils_pca", "title": "Utilities for Principal Component Axis analysis", "topics": [ "get_biplot", "pca", "plot.pca", "utils_pca" ] }, { "page": "utils_pick", "title": "Utilities for picking up points in an image", "topics": [ "pick_coords", "pick_count", "pick_palette", "pick_rgb", "pick_rgb_area", "utils_pick" ] }, { "page": "utils_polygon", "title": "Utilities for Polygons", "topics": [ "conv_hull", "conv_hull_unified", "poly_align", "poly_angles", "poly_area", "poly_caliper", "poly_centdist", "poly_centdist_mass", "poly_center", "poly_check", "poly_circularity", "poly_circularity_haralick", "poly_circularity_norm", "poly_close", "poly_convexity", "poly_distpts", "poly_eccentricity", "poly_elongation", "poly_flip_x", "poly_flip_y", "poly_is_closed", "poly_jitter", "poly_limits", "poly_lw", "poly_mass", "poly_measures", "poly_perimeter", "poly_rotate", "poly_sample", "poly_sample_prop", "poly_slide", "poly_smooth", "poly_solidity", "poly_spline", "poly_unclose", "utils_polygon" ] }, { "page": "utils_polygon_plot", "title": "Utilities for plotting polygons", "topics": [ "plot_contour", "plot_ellipse", "plot_mass", "plot_polygon", "utils_polygon_plot" ] }, { "page": "utils_rows_cols", "title": "Utilities for handling with rows and columns", "topics": [ "column_to_rownames", "remove_rownames", "round_cols", "rownames_to_column", "utils_rows_cols" ] }, { "page": "utils_shapefile", "title": "Import/export shapefiles.", "topics": [ "shapefile_export", "shapefile_input", "shapefile_view", "utils_shapefile" ] }, { "page": "utils_shapes", "title": "Utilities for drawing coordinates of known shapes", "topics": [ "draw_circle", "draw_n_tagon", "draw_rectangle", "draw_square", "draw_trian_equi", "draw_trian_rect", "utils_shapes" ] }, { "page": "utils_stats", "title": "These functions applies common statistics to a list of objects, returning a numeric vector.", "topics": [ "max_list", "mean_list", "min_list", "sd_list", "utils_stats" ] }, { "page": "utils_transform", "title": "Spatial transformations", "topics": [ "image_autocrop", "image_blur", "image_closing", "image_contrast", "image_crop", 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