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@kushalvyas
kushalvyas / crop.py
Created January 19, 2018 10:30
OpenCV Cropping Utility
'''
Opencv Image Cropper
Commands:
s : Overwrite & Save image
left-arrow : previous
right-arrow : next
'''
import cv2
import glob
@kushalvyas
kushalvyas / watch_video.js
Last active October 31, 2023 07:15
JS for Camera capture from browser
/**
* Created by kushal
*
* Usage :
* To access local system webcam on the internet/
* Couple of points to be remembered:
*
* - Accessing the webcam using HTML5 and JS requires permission from
* the browser. The url of the file has to be a valid one. Url such as file:/// in your browser will not permit the browser to access local webcam.
* - Whereas, an http or https url will surely make a paved way for it. Hence, while developing, one can use Xampp, Wamp or the LAMP Stack.
@kushalvyas
kushalvyas / index.html
Last active September 8, 2017 17:32
Sample Index File for Camera function
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Camera Feed : Color Tracking</title>
<!--load css ... use bootstrap-->
<link href="../../dependencies/css/bootstrap.css" rel="stylesheet">
<script src="watch_video.js"></script>
</head>
<body bgcolor="#bdb76b">
@kushalvyas
kushalvyas / Semantic_FCN
Created August 6, 2017 12:13
layer {
name: "data"
type: "Python"
top: "data"
top: "label"
python_param {
module: "voc_layers"
layer: "SBDDSegDataLayer"
param_str: "{\'sbdd_dir\': \'../../data/sbdd/dataset\', \'seed\': 1337, \'split\': \'train\', \'mean\': (104.00699, 116.66877, 122.67892)}"
}
@kushalvyas
kushalvyas / Virtrualization.md
Last active February 11, 2017 05:47

Virtualization in clouds

Shortened URL : goo.gl/r249Vg

  1. What is virtualization ? There are 4 types
    • hardware virtualization : When VM is directly installed on a machine
    • operating system virtualization : When VM is directly installed on the host OS
    • server virtualization :
    • storage virtualization : Where physical storage is abstracted through another interface
@kushalvyas
kushalvyas / train_model.prototxt
Created January 20, 2017 17:35
Architecture of AlexNET
name: "CaltechNET"
layer {
name: "data"
type: "Data"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {
@kushalvyas
kushalvyas / 8queens.py
Created September 8, 2016 19:44
8 queens problem
"""
check out http://kushalvyas.github.io/gen_8Q.html#gen_8Q
@file : queens.py
Illustration of 8 queens using GA - evolution
"""
import numpy as np
@kushalvyas
kushalvyas / example_population.py
Created September 8, 2016 18:43
Example population and chromosome generation for http://bitsmakemecrazy.com/gen_8Q.html#gen_8Q
def generateChromosome():
# randomly generates a sequence of board states.
global nQueens
init_distribution = np.arange(nQueens)
np.random.shuffle(init_distribution)
return init_distribution
def generatePopulation(population_size = 100):
global POPULATION
@kushalvyas
kushalvyas / vocab_func.py
Created July 20, 2016 11:14
def developVocabulary(self,n_images, descriptor_list, kmeans_ret = None):
"""
Each cluster denotes a particular visual word
Every image can be represeted as a combination of multiple
visual words. The best method is to generate a sparse histogram
that contains the frequency of occurence of each visual word
Thus the vocabulary comprises of a set of histograms of encompassing
all descriptions for all images
@kushalvyas
kushalvyas / helpers.py
Last active July 20, 2016 12:05
import cv2
import numpy as np
from glob import glob
from sklearn.cluster import KMeans
from sklearn.svm import SVC
from sklearn.preprocessing import StandardScaler
from matplotlib import pyplot as plt
class ImageHelpers:
def __init__(self):