jccaicedo

# Example instructions to decode ground truth masks in BBBC039
# Masks available at: https://data.broadinstitute.org/bbbc/BBBC039/masks.zip

import skimage.io
import matplotlib.pyplot as plt
import skimage.morphology

# Load one image after uncompressing masks.zip
gt = skimage.io.imread("IXMtest_A02_s1_w1051DAA7C-7042-435F-99F0-1E847D9B42CB.png")

jccaicedo

#!/bin/bash

for((k=1;k<100;k++)); do
    n=`printf %04d $k`
    CUDA_VISIBLE_DEVICES=2 \
    python3 learning \
        --config /data1/luad/extract.json \
        validation \
        --model /data1/luad/experiments/keras/5class-1/checkpoint_$n.hdf5 \
    > train_acc_$n.txt

jccaicedo

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console