Command Line Help
bioclip predict
usage: bioclip predict [-h] [--format {table,csv}] [--output OUTPUT]
[--rank {kingdom,phylum,class,order,family,genus,species} |
--cls CLS | --bins BINS] [--k K] [--device DEVICE]
[--model MODEL] [--pretrained PRETRAINED]
image_file [image_file ...]
positional arguments:
image_file input image file(s)
options:
-h, --help show this help message and exit
--format {table,csv} format of the output, default: csv
--output OUTPUT print output to file, default: stdout
--rank {kingdom,phylum,class,order,family,genus,species}
rank of the classification, default: species (when)
--cls CLS classes to predict: either a comma separated list or a
path to a text file of classes (one per line), when
specified the --rank and --bins arguments are not allowed.
--bins BINS path to CSV file with two columns with the first being
classes and second being bin names, when specified the
--cls argument is not allowed.
--k K number of top predictions to show, default: 5
--device DEVICE device to use (cpu or cuda or mps), default: cpu
--model MODEL model identifier (see command list-models);
default: hf-hub:imageomics/bioclip
--pretrained PRETRAINED
pretrained model checkpoint as tag or file, depends on
model; needed only if more than one is available
(see command list-models)
bioclip embed
usage: bioclip embed [-h] [--output OUTPUT] [--device DEVICE] [--model MODEL]
[--pretrained PRETRAINED] image_file [image_file ...]
positional arguments:
image_file input image file(s)
options:
-h, --help show this help message and exit
--output OUTPUT print output to file, default: stdout
--device DEVICE device to use (cpu or cuda or mps), default: cpu
--model MODEL model identifier (see command list-models);
default: hf-hub:imageomics/bioclip
--pretrained PRETRAINED
pretrained model checkpoint as tag or file, depends
on model; needed only if more than one is available
(see command list-models)
bioclip list-models
usage: bioclip list-models [-h] [--model MODEL]
Note that this will only list models known to open_clip; any model identifier
loadable by open_clip, such as from hf-hub, file, etc should also be usable for
--model in the embed and predict commands.
(The default model hf-hub:imageomics/bioclip is one example.)
options:
-h, --help show this help message and exit
--model MODEL list available tags for pretrained model checkpoint(s) for
specified model