Size control of the 2D larva view

Changelog

• option --view-factor for commands larvatagger.sh open larvatagger open and larvatagger-gui.jl
• argument viewfactor for function larvaviewer and larvaeditor
• default value is 2 on macOS, 1 on the other platforms

This hopefully fixes long-standing issue #16.

scripts/larvatagger

@@ -29,7 +29,7 @@ import|merge|train|predict|--version|-V)
 LarvaTagger
 
 Usage:
-  larvatagger open <file-path> [--backends=<path>] [--port=<number>] [--quiet] [--viewer] [--browser] [--manual-label=<label>] [--segment=<t0,t1>]
+  larvatagger open <file-path> [--backends=<path>] [--port=<number>] [--quiet] [--viewer] [--browser] [--view-factor=<real>] [--manual-label=<label>]
   larvatagger import <input-path> [<output-file>] [--id=<id>] [--framerate=<fps>] [--pixelsize=<μm>] [--overrides=<comma-separated-list>] [--default-label=<label>] [--manual-label=<label>] [--decode] [--copy-labels]
   larvatagger train <backend-path> <data-path> <model-instance> [--pretrained-model=<instance>] [--labels=<comma-separated-list>] [--sample-size=<N>] [--balancing-strategy=<strategy>] [--class-weights=<csv>] [--manual-label=<label>] [--layers=<N>] [--iterations=<N>] [--seed=<seed>]
   larvatagger train <backend-path> <data-path> <model-instance> --fine-tune=<instance> [--balancing-strategy=<strategy>] [--manual-label=<label>] [--iterations=<N>] [--seed=<seed>]
@@ -39,26 +39,27 @@ Usage:
   larvatagger -h | --help
 
 Options:
-  -h --help            Show this screen.
-  -V --version         Show version.
-  -q --quiet           Do not show instructions.
-  --id=<id>            Run or assay ID, e.g. `date_time`.
-  --framerate=<fps>    Camera frame rate, in frames per second.
-  --pixelsize=<μm>     Camera pixel size, in micrometers.
-  --backends=<path>    Path to backend repository.
-  --port=<number>      Port number the server listens to.
-  --viewer             Disable editing capabilities.
-  --browser            Automatically open a browser tab at the served location.
-  --make-dataset       Perform the make_dataset stage prior to proceeding to predict_model.
-  --skip-make-dataset  Skip the make_dataset stage (default behavior since TaggingBackends==0.10).
-  --data-isolation     Isolate the backend data directories for parallel tagging of multiple data files.
-  --sample-size=<N>    Sample only N track segments from the data repository.
-  --layers=<N>         (MaggotUBA) Number of layers of the classifier.
-  --iterations=<N>     (MaggotUBA) Number of training iterations (can be two integers separated by a comma).
-  --seed=<seed>        Seed for the backend's random number generators.
-  --segment=<t0,t1>    Start and end times (included, comma-separated) for cropping and including tracks.
-  --decode             Do not encode the labels into integer indices.
-  --copy-labels        Replicate discrete behavior data from the input file.
+  -h --help             Show this screen.
+  -V --version          Show version.
+  -q --quiet            Do not show instructions.
+  --id=<id>             Run or assay ID, e.g. `date_time`.
+  --framerate=<fps>     Camera frame rate, in frames per second.
+  --pixelsize=<μm>      Camera pixel size, in micrometers.
+  --backends=<path>     Path to backend repository.
+  --port=<number>       Port number the server listens to.
+  --viewer              Disable editing capabilities.
+  --browser             Automatically open a browser tab at the served location.
+  --view-factor=<real>  Scaling factor for the larva views; default is 2 on macOS, 1 elsewhere.
+  --make-dataset        Perform the make_dataset stage prior to proceeding to predict_model.
+  --skip-make-dataset   Skip the make_dataset stage (default behavior since TaggingBackends==0.10).
+  --data-isolation      Isolate the backend data directories for parallel tagging of multiple data files.
+  --sample-size=<N>     Sample only N track segments from the data repository.
+  --layers=<N>          (MaggotUBA) Number of layers of the classifier.
+  --iterations=<N>      (MaggotUBA) Number of training iterations (can be two integers separated by a comma).
+  --seed=<seed>         Seed for the backend's random number generators.
+  --segment=<t0,t1>     Start and end times (included, comma-separated) for cropping and including tracks.
+  --decode              Do not encode the labels into integer indices.
+  --copy-labels         Replicate discrete behavior data from the input file.
   --default-label=<label>             Label all untagged data as <label>.
   --manual-label=<label>              Secondary label for manually labelled data [default: edited].
   --labels=<comma-separated-list>     Comma-separated list of behavior tags/labels.