anilsathyan anilsathyan7

Sample Output

Similar patches or objects in the input image(left) are grouped into same clusters, using Structural Similarity Index(SSIM). Members of the same cluster are shown with same coloured bounding boxes in the output image(right).

Sample Output

Similar shapes in the input image(left) are grouped into same clusters, using hu moments. Members of the same cluster are shown with same coloured bounding boxes in the output image(right).

	import numpy as np
	from PIL import Image
	from imageio import imsave
	from skimage.util.shape import view_as_blocks

	# Global shuffle key
	map={}

	'''
	Args:-

	from PIL import Image
	import os, sys
	import cv2
	import numpy as np

	'''
	Converts all images in a directory to '.npy' format.
	Use np.save and np.load to save and load the images.
	Use it for training your neural networks in ML/DL projects.
	'''

	from PIL import Image
	import os, sys
	from scipy.misc import imsave
	import cv2
	import numpy as np
	import random
	import argparse

	'''
	Creates synthetic images with custom backgrounds, using the default images and masks in the dataset.

	import numpy as np
	import cv2

	cap = cv2.VideoCapture(0)
	i=1
	while(True):
	# Capture frame-by-frame
	ret, frame = cap.read()

	# Operations on the frame

	import caffe
	import numpy as np
	import cv2
	import Image
	import os

	#nvcamerasrc
	#gst = "/dev/video1 ! video/x-raw(memory:NVMM), width=(int)640, height=(int)480, format=(string)I420, framerate=(fraction)30/1 ! nvvidconv flip-method=0 ! video/x-raw, format=(string)I420 ! videoconvert ! video/x-raw, format=(string)BGR ! appsink"

	#gst-launch-1.0 v4l2src device="/dev/video1" ! 'video/x-raw(memory:NVMM), width=(int)640, height=(int)480, format=(string)I420, framerate=(fraction)30/1' ! nvvidconv flip-method=0 ! 'video/x-raw, format=(string)I420' ! videoconvert ! 'video/x-raw, format=(string)BGR' ! fakesink

	clear
	echo -e "\e[1;4mI LOVE SHELL SCRIPTING!!\n"
	echo -e "WELCOME \033[31m$USER to $HOSTNAME"
	$ echo -e "\033[7m Linux OS! Best OS!! \033[0m"
	echo "Today is `date`"
	val=`expr 6 + 3`
	echo "six plus three is $val"
	echo "What is your full name?"
	read fname
	echo "Hello $fname, my buddy!"

	<!DOCTYPE html>
	<html>
	<head>
	<title>Google Realtime Quickstart</title>

	<!-- Load Styles -->
	<link href="https://www.gstatic.com/realtime/quickstart-styles.css" rel="stylesheet" type="text/css"/>

	<!-- Load the Realtime JavaScript library -->
	<script src="https://apis.google.com/js/api.js"></script>

	# The preamble

	set ns [new Simulator] ;#initialise the simulation

	# Predefine tracing
	set f [open out.tr w]
	$ns trace-all $f
	set nf [open out.nam w]
	$ns namtrace-all $nf