JosephKJ

# Add in the preamble

\usepackage{algorithm}
\usepackage[noend]{algpseudocode}
\renewcommand{\algorithmicrequire}{\textbf{Input:}}
\renewcommand{\algorithmicensure}{\textbf{Output:}}


# Content

JosephKJ

import cv2
from detectron2.utils.logger import setup_logger
setup_logger()

from detectron2.config import get_cfg
from detectron2.engine import DefaultPredictor
from detectron2.utils.visualizer import Visualizer
from detectron2.data import MetadataCatalog

# Get image

JosephKJ

import os
from shutil import copyfile

train_path = '/DATA1/datasets/ILSVRC2012_img_train/imagenet'
destination_path = '/DATA1/datasets/ILSVRC2012_img_train/imagenet_all_images'

i = 0
for path, dir_name, file_names in os.walk(train_path):
    i += 1

JosephKJ

 'pink primrose'
 'hard-leaved pocket orchid'
 'canterbury bells'
 'sweet pea'
 'english marigold'
 'tiger lily'
 'moon orchid'
 'bird of paradise'
 'monkshood'
 'globe thistle'

JosephKJ

import itertools

import numpy as np

from sklearn.linear_model import SGDClassifier, SGDRanking
from sklearn import metrics
from minirank.compat import RankSVM as MinirankSVM
from scipy import stats

JosephKJ

% Retrieving the data
data = load('SUN_small_obj_train.mat');
struct_arr = getfield(data, 'SUN_small_obj_train');

% Converting each row to a its corresponding csv
fileID = fopen('SUN_small_obj_train.csv','w');
[nrows,ncols] = size(struct_arr);
for row = 1:nrows
     for col = 1:ncols
        if isempty(struct_arr{row,col})

JosephKJ

# Modified VGG_ILSVRC_16 Architecture, which contains only Convolutional Layers.
# Adapted from: https://gist.github.com/ksimonyan/211839e770f7b538e2d8#file-readme-md

name: "VGG_ILSVRC_16_layers"
input: "data"
input_dim: 10
input_dim: 3
input_dim: 224
input_dim: 224
layers {

JosephKJ

name: "VDSR"
layer {
  name: "data"
  type: "HDF5Data"
  top: "data"
  top: "label"
  hdf5_data_param {
    source: "examples/VDSR/train.txt"
    batch_size: 64
  }