pyopia.instrument.silcam

Module containing SilCam specific tools to enable compatability with the pyopia.pipeline

See: Davies, E. J., Brandvik, P. J., Leirvik, F., & Nepstad, R. (2017). The use of wide-band transmittance imaging to size and classify suspended particulate matter in seawater. Marine Pollution Bulletin, 115(1–2). https://doi.org/10.1016/j.marpolbul.2016.11.063

Functions

generate_config(raw_files, model_path, ...)	Generate example silcam config.toml as a dict
load_bayer_rgb8(filename)	load an RG8 .bsilc file from disc and convert it to RGB image
load_image(filename)	Deprecated since version 2.4.6.
load_mono8(filename)	load a mono8 .msilc file from disc
load_rgb8(filename)	load an RGB .silc file from disc
timestamp_from_filename(filename[, prefix_chars])	get a pandas timestamp from a silcam filename

Classes

ImagePrep([image_level])	PyOpia pipline-compatible class for preparing silcam images for further analysis
SilCamLoad([image_format, prefix_chars])	PyOpia pipline-compatible class for loading a single silcam image and extracting the timestamp using pyopia.instrument.silcam.timestamp_from_filename()