noamsgl

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

noamsgl

#%% IMPORTS
import torch
import pytorch_lightning as pl
import matplotlib.pyplot as plt
from pytorch_lightning import Trainer

from torch.nn import functional as F
import pyro
import pyro.distributions as dist
# %%

noamsgl

import os
import pandas as pd
from PIL import Image


def crop_cell(row):
    """
    crop_cell(row)
    
    given a pd.Series row of the dataframe, load row['filename'] with PIL,

noamsgl

import os, sys, random
import xml.etree.ElementTree as ET
from glob import glob
import pandas as pd
from shutil import copyfile

annotations = glob('BCCD_Dataset/BCCD/Annotations/*.xml')
df = []
for file in annotations:
    #filename = file.split('/')[-1].split('.')[0] + '.jpg'