satojkovic satojkovic

## scenic_sam.ipynb

      
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                satojkovic
                / scenic_sam.ipynb
            
            
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## EMD.py
#-*- encoding: utf-8 -*-

#
# Earth Mover's Distance
#
# Reference: http://aidiary.hatenablog.com/entry/20120804/1344058475
#

import numpy as np
import rpy2.robjects as robjects

## plates.py
def plates(stack, i, num_used, N, P, K):
    # Brute force: O(K^N)
    if i >= N:
        return -1
    current_total = -1
    for n in range(K + 1):
        if num_used + n > P:
            break
        elif num_used + n == P:
            current_total = max(current_total, sum(stack[i][:n]))

## algorithms_openpose.md

      
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                satojkovic
                / algorithms_openpose.md
            
            
              Created
              March 20, 2019 13:52
                — forked from alesolano/algorithms_openpose.md
            
              
                OpenPose TensorFlow Alogrithms
              
          
    All code is highly based on Ildoo Kim's code (https://github.com/ildoonet/tf-openpose) and derived from the OpenPose Library (https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/LICENSE)

  
## sift_match.rb
#!/usr/bin/env ruby

require 'rubygems'
require 'rmagick'

include Math

class KDTreeNode
  attr_accessor :data, :left_child, :right_child

## vlfeat.rb
#!/usr/bin/env ruby

require 'rubygems'
require 'rmagick'

include Math

class Node
  attr_accessor :location, :left_child, :right_child

## cudnn_version.cpp
#include <cudnn.h>
#include <iostream>

int main(int argc, char** argv) {
    std::cout << "CUDNN_VERSION: " << CUDNN_VERSION << std::endl;
    return 0;
}

## flask_sample.py
from flask import Flask
app = Flask(__name__)

@app.route('/')
def hello_world():
    return 'Hello World'

if __name__ == '__main__':
    app.run()

## knn.R
#
# read data frame from csv
#
df <- read.csv('data/example_data.csv')

#
# produce distance matrix
#
distance.matrix <- function(df)
  {

## gabor.py
#-*- encoding: utf-8 -*-

import numpy as np
import cv2


if __name__ == '__main__':
    img = cv2.imread("Ryo.jpg", 0)

    params = {'ksize':(31, 31), 'sigma':1.0, 'theta':0, 'lambd':15.0,
	#-- encoding: utf-8 --

	#
	# Earth Mover's Distance
	#
	# Reference: http://aidiary.hatenablog.com/entry/20120804/1344058475
	#

	import numpy as np
	import rpy2.robjects as robjects
	def plates(stack, i, num_used, N, P, K):
	# Brute force: O(K^N)
	if i >= N:
	return -1
	current_total = -1
	for n in range(K + 1):
	if num_used + n > P:
	break
	elif num_used + n == P:
	current_total = max(current_total, sum(stack[i][:n]))
	#!/usr/bin/env ruby

	require 'rubygems'
	require 'rmagick'

	include Math

	class KDTreeNode
	attr_accessor :data, :left_child, :right_child
	#include <cudnn.h>
	#include <iostream>

	int main(int argc, char** argv) {
	std::cout << "CUDNN_VERSION: " << CUDNN_VERSION << std::endl;
	return 0;
	}
	from flask import Flask
	app = Flask(__name__)

	@app.route('/')
	def hello_world():
	return 'Hello World'

	if __name__ == '__main__':
	app.run()
	#
	# read data frame from csv
	#
	df <- read.csv('data/example_data.csv')

	#
	# produce distance matrix
	#
	distance.matrix <- function(df)
	{
	#-- encoding: utf-8 --

	import numpy as np
	import cv2


	if __name__ == '__main__':
	img = cv2.imread("Ryo.jpg", 0)

	params = {'ksize':(31, 31), 'sigma':1.0, 'theta':0, 'lambd':15.0,