loadModel {imageseg} | R Documentation |
Load TensorFlow model from hdf5 file
Description
Load TensorFlow model from hdf5 file
Usage
loadModel(modelFile, restoreCustomObjects = TRUE)
Arguments
modelFile |
character. File name of the .hdf5 model file to load |
restoreCustomObjects |
logical. Restore custom objects (loss function & dice coefficient) used in training of habitat models |
Details
Loads a trained TensorFlow model from a hdf5 file, and (optionally) restores custom objects.
Value
keras model
Examples
## Not run:
# Canopy model
wd_model_can <- "C:/Path/To/Model" # change this
filename_model_can <- "imageseg_canopy_model.hdf5"
model_can <- loadModel(file.path(wd_model_can, filename_model_can))
# Understory model
# note, here we just specify the complete path, not separate by directory and file name as above
model_file_us <- "C:/Path/To/Model/imageseg_understory_model.hdf5"
model_us <- loadModel(model_file_us)
## End(Not run)
[Package imageseg version 0.5.0 Index]