from random import shuffle
# Define the flags class for variables
FLAGS = tf.app.flags.FLAGS
# Define the data directory to use
home_dir = str(Path.home()) + '/PycharmProjects/Datasets/BreastData/Mammo/'
risk_dir = home_dir + 'RiskStudy/'
short_fu = risk_dir + '1yr_FU/Raw/'
brca_dir = home_dir + 'BRCA/'
calc_dir = home_dir + 'Calcs/Eduardo/'
chemo_dir = home_dir + 'Chemoprevention/'
sdl = SDL.SODLoader(data_root=home_dir)
sdd = SDD.SOD_Display()
def re_save_1yr(type='CC'):
"""
Loads the 1 year followup chemoprevention files and resaves the CC and/or MLO DICOM
:param box_dims: dimensions of the saved images
:return:
"""
# Load the filenames and randomly shuffle them
path = '/media/stmutasa/Slow1/PycharmProjects/Datasets/BreastData/Mammo/RiskStudy/1yr_FU/Raw/'
save_path_CC = '/media/stmutasa/Slow1/PycharmProjects/Datasets/BreastData/Mammo/RiskStudy/1yr_FU/Processed_CC/'
save_path_All = '/media/stmutasa/Slow1/PycharmProjects/Datasets/BreastData/Mammo/RiskStudy/1yr_FU/Processed_MLO_CC/'
filenames = sdl.retreive_filelist('**', True, path)
shuffle(filenames)
import cv2
import datetime
from pathlib import Path
from random import shuffle
from Array2Gif import gif
# Define the flags class for variables
FLAGS = tf.app.flags.FLAGS
# Define the data directory to use
home_dir = str(Path.home()) + '/PycharmProjects/Datasets/HCC/'
# Utility classes
sdl = SDL.SODLoader(data_root=home_dir)
sdd = Display.SOD_Display()
def display_warps(box_dims=64, xforms=20):
"""
We want to load all of the examples and perform affine warps, then display example images
Dimensions to display
number of warps to show
"""
# Load the filenames and randomly shuffle them
filenames = sdl.retreive_filelist('nii.gz', True,
home_dir + 'HCC_registered/')
shuffle(filenames)
# Load labels