Ashish Rana ashishrana160796

## resolution_convert_util.py
# Problem: Different Screens have different resolutions. When, it comes to GUI automation this resolution causes problem.
#          Of having a different co-ordinate system for different systems. Hence, causing resolution problem issue.

# Solution: Just convert the resolution size with simple unitary formula method.

# This import is required to get the current screen size
import pyautogui

def res_convertor(wdth, hght):

## zoomed_comparison.py
import scipy
import numpy as np
from scipy.ndimage import zoom
import matplotlib.pyplot as plt
# Reference Solution Given By: https://stackoverflow.com/users/1461210/ali-m
#
def clipped_zoom(img, zoom_factor, **kwargs):
    # assumption is that zoom factor is greater than 1
    h, w = img.shape[:2]
    # no RGB zoom to be applied for multi-channel image,

## repeat_gen.py
from PIL import Image
import numpy as np

# call with pil_transform('test.jpg')
def pil_transform(image_str):

    # padding process started
    im_opn = Image.open(image_str)
    old_sz = im_opn.size
    new_sz = (old_sz[0]+30, old_sz[1]+30)

## nac_plot.py
'''
NAC 3-D Plot Code
'''


# import statements
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter

## BBBC_data_preprocess.py
# Best way to run copy and paste portions into an ipython3 shell

# 1. Import Statements
import operator
from os import listdir
from os.path import isfile, join


# 2. Select files with matching tiff extensions.
import re

## UCSD_count_preprocess.py
import glob
import os
import scipy.io as sio
import numpy as np
import numpy as np
from PIL import *

class UCSD():
    """UCSD pedestrian counting data."""


## LICENSE.md

      
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                ashishrana160796
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                This license applies to all public gists https://gist.github.com/ashishrana160796
              
          
    All public gists https://gist.github.com/ashishrana160796

Copyright 2018, Ashish Rana

This work is licensed under a Creative Commons Attribution 4.0 International License.

  
## JavaDocCheatSheet.md

      
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                ashishrana160796
                / JavaDocCheatSheet.md
            
            
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              February 8, 2024 21:42
            
              
                JavaDoc CheatSheet : This gist contains basics of JavaDoc comments to get you up and running in no time. 
              
          
    JAVADOC CHEATSHEET

Introduction

The major important thing is the documentation has to be implementation independent and specification concise. Dependencies where ever necessary are allowed to be specified.

Also it is allows HTML tags to be used in between the documentation comments. Pretty much all tags are self explanatory.
Meta Annotations

@author  Ex: @author Jane Doe

@version  Ex: @version v1.0-alpha
	# Problem: Different Screens have different resolutions. When, it comes to GUI automation this resolution causes problem.
	# Of having a different co-ordinate system for different systems. Hence, causing resolution problem issue.

	# Solution: Just convert the resolution size with simple unitary formula method.

	# This import is required to get the current screen size
	import pyautogui

	def res_convertor(wdth, hght):
	import scipy
	import numpy as np
	from scipy.ndimage import zoom
	import matplotlib.pyplot as plt
	# Reference Solution Given By: https://stackoverflow.com/users/1461210/ali-m
	#
	def clipped_zoom(img, zoom_factor, **kwargs):
	# assumption is that zoom factor is greater than 1
	h, w = img.shape[:2]
	# no RGB zoom to be applied for multi-channel image,
	from PIL import Image
	import numpy as np

	# call with pil_transform('test.jpg')
	def pil_transform(image_str):

	# padding process started
	im_opn = Image.open(image_str)
	old_sz = im_opn.size
	new_sz = (old_sz[0]+30, old_sz[1]+30)
	'''
	NAC 3-D Plot Code
	'''


	# import statements
	from mpl_toolkits.mplot3d import Axes3D
	import matplotlib.pyplot as plt
	from matplotlib import cm
	from matplotlib.ticker import LinearLocator, FormatStrFormatter
	# Best way to run copy and paste portions into an ipython3 shell

	# 1. Import Statements
	import operator
	from os import listdir
	from os.path import isfile, join


	# 2. Select files with matching tiff extensions.
	import re
	import glob
	import os
	import scipy.io as sio
	import numpy as np
	import numpy as np
	from PIL import *

	class UCSD():
	"""UCSD pedestrian counting data."""