chirag-agarwall

def image_name_to_netid():
    # Map imagenet names to their netids
    input_f = open("./imagenet_validation_imagename_labels.txt")
    label_map = {}
    netid_map = {}
    for line in input_f:
        parts = line.strip().split(" ")
        label_map[parts[0]] = parts[1]
        netid_map[parts[0]] = parts[2]
    return label_map, netid_map

Tushar-N

import torch
import torch.nn as nn
import torch.nn.functional as F

import torchvision.models as tmodels
from functools import partial
import collections

# dummy data: 10 batches of images with batch size 16
dataset = [torch.rand(16,3,224,224).cuda() for _ in range(10)]

AruniRC

{0: u'__background__',
 1: u'person',
 2: u'bicycle',
 3: u'car',
 4: u'motorcycle',
 5: u'airplane',
 6: u'bus',
 7: u'train',
 8: u'truck',
 9: u'boat',

wanghailei

# The following code and the code generated art works are the intellectrual properities of Hailei Wang.
# © 2010 - 2014, Hailei Wang. All rights reserved.

cornu = ximport("cornu")
colors = ximport("colors")

# Painting waves
palette_for_wave = [ colors.hex( “#020034”, “dark blue” ), colors.hex( “#0A5CD6”, “aqua blue” ), colors.hex( “#FEFFFF”, “milk white” ) ]

# Draw Wave