aievents.py
Created By: Andrew Player
File Name: aievents.py
Description: CLI Interface
- outputdir_help
- seed_help
- cropsize_help
- split_help
- tilesize_help
- inputshape_help
- epochs_help
- batchsize_help
- filters_help
- dropout_help
- learningrate_help
- amplitude_help
Create a dataset from real interferogran products.
Create a randomly generated simulated dataset of wrapped interferograms and their corresponding event-masks.
Create a randomly generated synthetic dataset of wrapped interferograms and their corresponding event-masks.
Masks events in the given wrapped interferogram using a tensorflow model and plots it, with the option to save.
Prints the model summary.
Create data directory subtree. This should be run before make-*-dataset.
Show the wrapped interferogram and event-mask from a given dataset file (.npz).
Plots the wrapped, unwrapped, and correlation images in an InSAR Product.
Show a randomly generated synthetic wrapped interferogram along with an event-mask.
Show a randomly generated wrapped interferogram from simulated deformation, atmospheric turbulence, atmospheric topographic error, and incoherence masking.
Split the dataset into train and test sets.
Predicts on a synthetic wrapped interferogram & event-mask pair and plots the results
Train a U-Net or ResNet style model.
Visualize the feature maps of the model for a random synthetic interferogram.
This file was automatically generated via andrewplayer3's fork of lazydocs.