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Md Mahedi Hasan Mahedi-61

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@Mahedi-61
Mahedi-61 / pdftk_commands.sh
Last active Nov 2, 2020
useful commands of shell script pdftk
View pdftk_commands.sh
# Replacing few page from a pdf file using another pdf file
pdftk A=first.pdf B=second.pdf cat A1 B1 A3-end output out.pdf
# Above code means second page of first.pdf is replaced by the first page of second PDF
# merging multiple files into one file
pdftk file1.pdf file2.pdf cat output mergedfile.pdf
@Mahedi-61
Mahedi-61 / bslr.ipynb
Last active Mar 24, 2020
Notebook for running openpose for my Bangla Sign Language Project in Google Colaboratory
View bslr.ipynb
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@Mahedi-61
Mahedi-61 / latex_math.tex
Last active Dec 27, 2019
gait journal latex math
View latex_math.tex
#for equation 3
\begin{align*}
\alpha &=
\begin{cases}
\tan^{-1}{\frac{|J_{2x}-J_{1x}|}{|J_{2y}-J_{1y}|}} & J_{2y} \neq J_{1y}\\
\pi/2 & J_{2y} = J_{1y}
\end{cases} \\ \noalign{\vskip10pt}
\beta &=
\begin{cases}
@Mahedi-61
Mahedi-61 / AlgorithmForBDGovt.py
Last active Aug 19, 2021
how BD government find Abrar Murderer
View AlgorithmForBDGovt.py
"""
Author: A cup of Tea
Description: Algorithm about how BD government is going to find Abrar Murderer
"""
def findGuiltyToAbrarMurder():
if(guilty == activistOfBCL):
victim = activistOfShibir
silenceLikeHell()
useBruteForceToRemoveMovement(BCLGang, BDPolice)
View Gantt Chart
# @Author: A Cup of Tea
# @Content: Gantt Chart for publishing a magazine within 3 month
import plotly.figure_factory as ff
df = [dict(Task="Assigning articles to writers", Start='2019-10-05', Finish='2019-10-25'),
dict(Task="Knocking Writers", Start='2019-10-05', Finish='2019-10-30'),
dict(Task="Collecting Articles", Start='2019-10-15', Finish='2019-11-10'),
dict(Task="Initial Review", Start='2019-10-15', Finish='2019-10-30'),
dict(Task="Request to Re-write", Start='2019-10-15', Finish='2019-11-15'),
@Mahedi-61
Mahedi-61 / Makefile.config
Last active Aug 15, 2019
Instructions to install Cafee in CentOS 7 server machine
View Makefile.config
## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!
# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1
# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1
# uncomment to disable IO dependencies and corresponding data layers
@Mahedi-61
Mahedi-61 / CUDA_Toolkit_10.0_installation_on_CentOS_7.sh
Last active Feb 23, 2021
Step by step instructions for installing CUDA Toolkit 10.0 CentOS 7 Server machine for running Deep Learning projects
View CUDA_Toolkit_10.0_installation_on_CentOS_7.sh
#!/bin/bash
## This gist contains step by step instructions to install cuda v10.1 and cudnn 7.6 in CentOS 7
### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###
### to verify your gpu is cuda enable check
@Mahedi-61
Mahedi-61 / installing_opencv_3.45_in_CentOS-7.sh
Last active May 30, 2021
Step by step instructions to build and install OpenCV from source on CentOS 7
View installing_opencv_3.45_in_CentOS-7.sh
#!/bin/bash
# This gist is a step by step instructions to build and install OpenCV from source on CentOS 7
# note: The easy and quick way to install is
# sudo yum install opencv opencv-devel opencv-python
# But this easy pypi installation can’t open video files on GNU/Linux distribution or on mac OS X system.
# And on some system opencv binaries provided packages are not compiled.
# Therefor we have no way rather than build it from source.
### first update and upgrade pre-install yum packages.
@Mahedi-61
Mahedi-61 / character_segmentation.py
Created Feb 10, 2019
Code for Bangla Character Segmentation (Modified from avidLearnerInProgress/sudoku-solver-openCV-python)
View character_segmentation.py
#Author: Md Mahedi Hasan
#Date : 10/02/2019
#Description: Code for character segmentation in image
import cv2
import operator
import numpy as np
from matplotlib import pyplot as plt
View group_plot.R
#Sample 1
x = c(70, 60, 30, 80, 40, 100, 65, 20, 55, 70, 50)
y = c(91, 53, 8, 62, 43, 86, 75, 45, 90, 10, 35)
z = c(82, 49, 31, 41, 56, 62, 50, 39, 43, 74, 65)
col = c("blue", "black", "green4")
x_tick = c(0, 18, 36, 54, 72, 90, 108, 126, 144, 162, 180)
#thicker lines
par(cex=1.25)