score_jp2_image_dir: Score a directory of jp2 images with a Keras model
In treysp/coolit: Identify water cooling towers from aerial orthoimagery

Score a directory of jp2 images with a Keras model

score_jp2_image_dir(jp2_dir, jp2_aux_dir, model_params_dput_file,
  model_h5_weights, score_outdir = NULL, compress_score_rds = FALSE,
  return_score = TRUE, verbose = FALSE, tile_overlap = 0,
  complete_image = FALSE)

`jp2_dir`	Path to directory containing .jp2 image files
`jp2_aux_dir`	Path to directory containing .jp2.aux.xml files with metadata about .jp2 image with corresponding name
`model_params_dput_file`	Path to file containing `dput` export of parameters used during training of the model contained in 'model_h5_weights'.
`model_h5_weights`	Saved h5 weights from a trained keras model, used to score the image tiles.
`score_outdir`	Path to directory where results of image scoring should be save
`compress_score_rds`	Should saved score results be compressed
`return_score`	Should list of score results be returned as an R object by the function
`verbose`	Should messages about current step being processes be printed to screen?
`tile_overlap`	Number of pixel overlap in adjacent tiles (in both X and Y directions). See `calc_slice_corners`.
`complete_image`	See `calc_slice_corners`.

List of data frame with one row for each tile, containing: - jp2_path - jp2_aux_path - Numeric tile ID number - Tile corner cells in source jp2 pixel values - List-column containing each tile's extent based on the source jp2's projected raster - sf geometry column containing each tile's sf polygon - List-column containing tile's RGB layers in a 4d array of dimension \[1, tile_n_cols, tile_n_rows, 3\] - Model predicted probability for each image tile

If score outpath != NULL each returned data frame will be saved to outpath as an RDS file, compressed if compress_score_rds == TRUE.

treysp/coolit documentation built on June 5, 2019, 5:16 p.m.