Python Tips and Tricks : Working with RGB (and Hex) Masks for Semantic Segmentation

In this video we will Work with RGB (and Hex) Masks for Semantic Segmentation

RGB to HEX: (Hexadecimel – base 16)

This number divided by sixteen (integer division; ignoring any remainder) gives

the first hexadecimal digit (between 0 and F, where the letters A to F represent

the numbers 10 to 15). The remainder gives the second hexadecimal digit.

0-9 – 0-9

10-15 – A-F

Example: RGB – R=201, G=, B=

R = 201/16 = 12 with remainder of 9. So hex code for R is C9 (remember C=12)

Calculating RGB from HEX: #3C1098

3C = 3*16 + 12 = 60

10 = 1*16 + 0 = 16

90 = 9*16 + 8 = 152

###############################

#CODE

#########################

#Convert Hex to RGB (numpy array)

Building = ‘#3C1098 ‘.lstrip(’#’)

Building = np.array(tuple(int(Building[i:i+2], 16) for i in (0, 2, 4))) ## 60, 16, 152

Land = ‘#8429F6 ‘.lstrip(’#’)

Land = np.array(tuple(int(Land[i:i+2], 16) for i in (0, 2, 4))) #132 , 41, 246

Road = ‘#6EC1E4 ‘.lstrip(’#’)

Road = np.array(tuple(int(Road[i:i+2], 16) for i in (0, 2, 4))) #110 , 193, 228

Vegetation = ‘FEDD3A’.lstrip(‘#’)

Vegetation = np.array(tuple(int(Vegetation[i:i+2], 16) for i in (0, 2, 4))) #254 , 221, 58

Water = ‘E2A929’.lstrip(‘#’)

Water = np.array(tuple(int(Water[i:i+2], 16) for i in (0, 2, 4))) #226 , 169, 41

Unlabeled = ‘#9B9B9B ‘.lstrip(’#’)

Unlabeled = np.array(tuple(int(Unlabeled[i:i+2], 16) for i in (0, 2, 4))) #155 , 155, 155

#########################

Now replace RGB to integer values to be used as labels.

#Find pixels with combination of RGB for the above defined arrays…

#if matches then replace all values in that pixel with a specific integer

def rgb_to_2D_label(label):

“”"

Supply our labale masks as input in RGB format.

Replace pixels with specific RGB values …

“”"

label_seg = np.zeros(label.shape,dtype=np.uint8)

label_seg [np.all(label == Building,axis=-1)] = 0

label_seg [np.all(label==Land,axis=-1)] = 1

label_seg [np.all(label==Road,axis=-1)] = 2

label_seg [np.all(label==Vegetation,axis=-1)] = 3

label_seg [np.all(label==Water,axis=-1)] = 4

label_seg [np.all(label==Unlabeled,axis=-1)] = 5

label_seg = label_seg[:,:,0] #Just take the first channel, no need for all 3 channels

return label_seg

labels = []

for i in range(mask_dataset.shape[0]):

label = rgb_to_2D_label(mask_dataset[i])

labels.append(label)

labels = np.array(labels)

labels = np.expand_dims(labels, axis=3)

print("Unique labels in label dataset are: ", np.unique(labels))

Subscribe: https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w/featured

#python

What is GEEK

Buddha Community

Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

How to Remove all Duplicate Files on your Drive via Python

Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.

Intro

In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.

Heres a solution

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

But How do we do it?

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of hashing algorithms out there such as

• md5
• sha1
• sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips

How To Compare Tesla and Ford Company By Using Magic Methods in Python

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…

You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like init, call, str etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.

1. init

class AnyClass:
    def __init__():
        print("Init called on its own")
obj = AnyClass()

The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.

The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.

Init called on its own

2. add

Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,

class AnyClass:
    def __init__(self, var):
        self.some_var = var
    def __add__(self, other_obj):
        print("Calling the add method")
        return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2

#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python

The Basics of Python OS Module

The** OS module** is a python module that provides the interface for interacting with the underlying operating system that Python is running.

This module provides a portable way of using **operating system **dependent functionality.

OS module comes by default on Python’s standard utility modules therefore you don’t need to install anything to start using it

OS module provides a ton of** methods** of which you use in variety of situation in **interacting **with the operating system ranging from_ creating new file & folder_s to renaming and _deleting t_hem.

You can view all of them by using dir() as shown below

>>>import os 
>>>dir(os)
'chown', 'chroot', 'close', 'closerange', 'confstr', 'confstr_names', 
'cpu_count', 'ctermid', 'curdir', 'defpath', 'device_encoding', 
'posix_fallocate', 'pread', 'putenv', 'pwrite', 'read', 'readlink', 
'readv', 'remove', 'removedirs', 'removexattr', 'rename', 'renames'
............................and so on...........................

On this tutorial We will just check some of methods on OS Module

os.getcwd ( )

This OS method is used to get the path of the current working directory.

>>>import os 
>>>os.getcwd() #getting path of current directory
'/home/kalebu'

#python #python-programming #python-tutorials #learn-python #python-tips #python-developers #python3