detect_MD_batch: Apply MegaDetector to a Given Batch of Images

In icr-ctl/animl: A Collection of ML Tools for Conservation Research

Apply MegaDetector to a Given Batch of Images

Description

Apply MegaDetector to a Given Batch of Images

Usage

detect_MD_batch(
  detector,
  image_file_names,
  checkpoint_path = NULL,
  checkpoint_frequency = -1,
  confidence_threshold = 0.1,
  quiet = TRUE,
  image_size = NULL,
  file_col = "Frame"
)

Arguments

detector	preloaded md model
image_file_names	list of image filenames, a single image filename, or folder
checkpoint_path	path to checkpoint file
checkpoint_frequency	write results to checkpoint file every N images
confidence_threshold	only detections above this threshold are returned
quiet	print debugging statements when false, defaults to true
image_size	overrides default image size, 1280
file_col	select which column if image_file_names is a manifest

Value

list of dictionaries of MegaDetector detections

Examples

## Not run: mdres <- detectMD_batch(md_py, allframes$Frame)

icr-ctl/animl documentation built on Feb. 16, 2025, 11:33 p.m.