A Collection of ML Tools for Conservation Research

Documentation for package ‘animl’ version 2.0.0

build_file_manifest	File Management Module
check_file	Check for files existence and prompt user if they want to load
crop_images	Crops all images from an input file with specific required columns: Frame, bbox1, bbox2, bbox3, and bbox4
detect_MD_batch	Apply MegaDetector to a Given Batch of Images
extract_frames	Extract frames from video for classification
extract_frames_old	Extract frames from video for classification
extract_frame_single	Extract Frames for Single Video
get_animals	Return a dataframe of only MD animals
get_empty	Return MD empty, vehicle and human images in a dataframe
load_data	Load .csv or .Rdata file
load_model	Load a Classifier Model with animl-py
megadetector	Load MegaDetector
parse_MD	parse MD results into a simple dataframe
plot_boxes	Plot bounding boxes on image from md results
predict_species	Infer Species for Given Detections
remove_link	Remove Sorted Links
save_data	Save Data to Given File
sequence_classification	Leverage sequences to classify images
sort_MD	Create SymLink Directories and Sort Classified Images Based on MD Results
sort_species	Create SymLink Directories and Sort Classified Images
update_labels	Udate Results from File Browser
WorkingDirectory	Set Working Directory and Save File Global Variables