sheikirfanbasha

# Simple technique to do shuffling when the order can be random
import random
import torch
# generate 1-D array with 10 elements. With numbers ranging from 0 to 20
x = torch.randn(10) * 20 
x.round_() # in-place rounding. Note the "_" suffix for "round" function.
indexes = list(range(len(x))) # Get the array indices
print(indexes); # [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
# set some random seed to reproduce the results correctly.
#Feel free to comment this line. Run the code and observe the output

sheikirfanbasha

vgg_mean = {103.939, 116.779, 123.68}

function check_input(img)
  assert(img:dim() == 4, 'img must be N x C x H x W')
  assert(img:size(2) == 3, 'img must have three channels') 
end

function preprocess(img)
  check_input(img)
  local mean = img.new(vgg_mean):view(1, 3, 1, 1):expandAs(img)

sheikirfanbasha

{
  "0": "tench, Tinca tinca",
  "1": "goldfish, Carassius auratus",
  "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
  "3": "tiger shark, Galeocerdo cuvieri",
  "4": "hammerhead, hammerhead shark",
  "5": "electric ray, crampfish, numbfish, torpedo",
  "6": "stingray",
  "7": "cock",
  "8": "hen",