katerakelly

#!/bin/bash


d=$CAMERA_READY_DIR

for i in {1..100}
do 
    if [ -d "$d/$i" ]
    then
        echo $i

katerakelly

import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
from torch.autograd import Variable

def make_bilinear_weights(size, num_channels):
    ''' Make a 2D bilinear kernel suitable for upsampling
    Stack the bilinear kernel for application to tensor '''
    factor = (size + 1) // 2