ashishrana160796 / resolution_convert_util.py

Created March 10, 2019 20:06

From automatetheboringstuff.com the library pyautogui breaks when code is needed to be ported to different screen resolutions. Hence, this utility converts mouse clicks from one resolution to another resolution.

	# 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):

ashishrana160796 / zoomed_comparison.py

Last active January 1, 2022 22:06

Zooming in images of cells and annotation images via matplotlib on VGG Cell count dataset. It is preferred to use Python 3.6.x for replicating the implementation.

	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,

ashishrana160796 / repeat_gen.py

Created December 31, 2018 17:48

Combine Images(here, repeating only single image), Add Padding to them(w/ black background) with a grid formation method. Create new images for your image dataset for repeated pattern analysis.

	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)

ashishrana160796 / nac_plot.py

Last active December 27, 2018 17:21

NAC and NALU unit 3-D plot python code with matplotlib library. Can be used as a reference for plotting sigmoid, tanh function also.

	'''
	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

ashishrana160796 / BBBC_data_preprocess.py

Last active January 1, 2022 22:07

Load Images from BBBC dataset(Here, https://data.broadinstitute.org/bbbc/BBBC005/) and Resize them with PIL python library along with changes their size & for JPEG. After, that split them into test and train directories depending on requirement add conditions for test/train sets.

	# 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

ashishrana160796 / UCSD_count_preprocess.py

Last active January 1, 2022 22:07 — forked from rkwitt/UCSD_Ped_Counting_Dataset.py

Data loading for the UCSD pedestrian counting(http://www.svcl.ucsd.edu/projects/peoplecnt/) dataset for images with their respective count from matlab scripts provided along.

	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."""

ashishrana160796 / LICENSE.md

Last active May 12, 2018 11:03

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.

ashishrana160796 / JavaDocCheatSheet.md

Last active August 17, 2024 16:24

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

Ashish Rana ashishrana160796

JAVADOC CHEATSHEET

Introduction