12/30/2017

opencv histogram stretching, example source code.

Histogram stretching
It's just adjusting the range with the same ratio.

For example, there is a range of numbers.
60, 61, 62, 63, 64, 65
Stretching is to extent other range, such as 0~255.
So, if we stitching 60~65 to 0~255, numbers will be like that.
60 -> 0
61 -> 51
62 -> 102
63 -> 153
64 -> 204
65 -> 255

so, in case of histogram, origin histogram will be stretched like that

image source : https://stackoverflow.com/questions/41118808/difference-between-contrast-stretching-and-histogram-equalization

then, let's look at code and result with real image.

origin input image


histogram


stretched image


histogram of stretched image


source code
<gist start>

<gist end>




Django + install rich html text editor (WYSIWYG, ckeditor)


I recommend you do this on virtual-env.

1. install packages

pip install django-ckeditor
pip install image (optional)

2. Set settings.py

Add ckeditor in INSTALLED_APPS
INSTALLED_APPS = [ 'django.contrib.admin',                   
                   'django.contrib.auth',                   
                    ... 
                   'ckeditor',]

Add this contents end of settings.py
CKEDITOR_UPLOAD_PATH = "uploads/" 
CKEDITOR_CONFIGS = { 
    'default': { 'toolbar': None, },
}

3. Set url.py

Add "url(r'^ckeditor/', include('ckeditor_uploader.urls'))," in urlpatterns
urlpatterns = [ url(r'^admin/', admin.site.urls),                
               ... 
                url(r'^ckeditor/', include('ckeditor_uploader.urls')),                
]

4. set models.py

Add import RichTextField
change "models.TextField()" to "RichTextField()"

from ckeditor.fields import RichTextField 
# Create your models here 
class OpenCV_Post(models.Model): 
    author = models.ForeignKey('auth.User') 
    title = models.CharField(max_length=200)
    # text = models.TextField()    
    text = RichTextField()

5. migration!

>>python manage.py makemigrations
>>python manage.py migrate


The Result on Admin






reference
https://www.youtube.com/watch?v=W8PTD7SszDI

12/28/2017

Hue histogram example opencv source code

Hue histogram example source code.

input


Hue histogram output


source code
<gist start>

<gist end>

calcHist for RGB image, opencv histogram example

A Example source code for rgb histogram, the source code uses calcHist function in opencv.

Important things in the source code are the part of split rgb mat to vector[3] and drawing part.
Read the code carefully, so then you can understand easliy. ^^

input


the result of rgb histogram


<gist code start>

<gist code end>



reference : https://docs.opencv.org/2.4/doc/tutorials/imgproc/histograms/histogram_calculation/histogram_calculation.html

calcHist for gray image, opencv Histogram example

This is example to use calcHist for grayimage.

input image


output


source code

end code


Gray image histogram without opencv function calHist

As you known, there is function for making histogram in Opencv, that is calcHist function.
But at this time, let's try get histogram without use calcHist.

Input image, we are going to convert from rgb to gray.


And this is result of histogram


So.. see the source code. I will be not difficult. ^^



12/25/2017

tensorflow gpu install window error : self_check.py...ImportError: Could not find 'cudnn64_6.dll...


hmm......I have taken for about 5 hours for solve this problem....

error is like that:

Traceback (most recent call last):
  File "C:\Users\mare\Anaconda3\envs\mare4\lib\site-packages\tensorflow\python\platform\self_check.py", line 87, in preload_check
    ctypes.WinDLL(build_info.cudnn_dll_name)
  File "C:\Users\mare\Anaconda3\envs\mare4\lib\ctypes\__init__.py", line 348, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] 지정된 모듈을 찾을 수 없습니다
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\mare\Anaconda3\envs\mare4\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "C:\Users\mare\Anaconda3\envs\mare4\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "C:\Users\mare\Anaconda3\envs\mare4\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 30, in <module>
    self_check.preload_check()
  File "C:\Users\mare\Anaconda3\envs\mare4\lib\site-packages\tensorflow\python\platform\self_check.py", line 97, in preload_check
    % (build_info.cudnn_dll_name, build_info.cudnn_version_number))
ImportError: Could not find 'cudnn64_6.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Note that installing cuDNN is a separate step from installing CUDA, and this DLL is often found in a different directory from the CUDA DLLs. You may install the necessary DLL by downloading cuDNN 6 from this URL: https://developer.nvidia.com/cudnn

In conclusion..
just use cudnn 6.0, that is Download cuDNN v6.0 (April 27, 2017), for CUDA 8.0

I have tried many time
cuda 9.1 + cudnn 7.x
cuda 8.0 + cudnn 7.x
...
but I never successed

tensorflow official site recommend
cuda 8.0 + cudnn 6.1
https://www.tensorflow.org/install/install_windows
I just ignore this mention, because you know I thought the document is outdated.



This is simple tutorial for install tensorflow-gpu in window.

1. install anaconda.

conda create -n tensorflow python=3.5 

2. install cuda 8.0 and cudnn 6.x

move cudnn header, lib and dll to cuda 8.0 folder
http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#installwindows

3. install tensorflow-gpu

pip install --ignore-installed --upgrade tensorflow-gpu 

4. check tensorflow-gpu

>>> import tensorflow as tf
>>> tf.test.is_built_with_cuda()
Ture






12/24/2017

django + mysql setting (Mac or Linux)

A. mysql install

1. download mysql

https://dev.mysql.com/downloads/mysql/



* site may ask to join, but we don't need to join for download file
* install -> in case of Mac, show default password on popup window.

2. set path

$nano ~/.bash_profile 
add this sentence 

#mysql
export PATH=/usr/local/mysql/bin:$PATH

3. start mysql & set password

$ sudo /usr/local/mysql/support-files/mysql.server start

create a username with a password
$ mysqladmin -u root&nbsp;password yourpassword
or
change the password
$ mysqladmin -u root -p'oldpassword' password newpassword

4. create mysql database

login
$ mysql -u root -p
Enter password:

create database
CREATE DATABASE taskbuster_db;



B. django setting

1. install pymysql

$pip install pymysql

2. django settings.py

import pymysql
pymysql.install_as_MySQLdb()

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.mysql',        
'NAME': 'django_locker', # DB name        
'USER': '', # database user : root        
'PASSWORD': '', # database pass         
'HOST': '', # localhost        
'PORT': '', # database port('' or 3306)    }
}


3. migration

$python manage.py makemigrations

$python manage.py migrate



Anaconda simple command


version check
$ conda -V 
conda 3.7.0

update
conda update conda

create virtual env
conda create -n yourenvname python=x.x anaconda

activate
source activate yourenvname

install additional python packages
conda install -n yourenvname [package]

deactivate
source deactivate

remove virtual env
conda remove -n yourenvname --all

show all virtual env list
conda info --envs
or
conda env list

anaconda uninstall
conda install anaconda-clean   # install the package anaconda clean
anaconda-clean --yes           # clean all anaconda related files and directories
rm -rf ~/anaconda3             # removes the entire anaconda directory
#rm -rf /user/username/anaconda3 or rm -rf /Users/username/anaconda3

rm -rf ~/.anaconda_backup       # anaconda clean creates a back_up of files/dirs, remove it    
                            # (conda list; cmd shouldn't respond after the clean up)

minianaconda install
bash Miniconda3-latest-MacOSX-x86_64.sh
https://conda.io/docs/user-guide/install/macos.html#install-macos-silent