semantic segmentation vs instance segmentation

 

* semantic segmentation

Finding out which class each pixel belongs to

* instance segmentation

To find out the pixel position of a detected object class based on object detection(localisation)

Is that confuse? ^^

Thank you.

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www.marearts.com

미리하는 그리고 재미로 하는 대선투표 http://vote.marearts.com

 

재미로 하는 대선투표 

http://vote.marearts.com

docker MongoDB pull and run

 

#pull image

docker pull mongodb

#run container

docker run --name mongodb -d -p 27017:27017 mongo

ex) access in python 

import pymongo # package for working with MongoDB

client = pymongo.MongoClient("mongodb://localhost:27017/")

Thank you.

www.marearts.com

Retrive docker container IP address

replace 'container_name_or_id' -> 'you id or container name'

docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' container_name_or_id

Thank you.

mongodb python, Table recode export, loading, save csv, load csv

 refer to below code:

.

#connet db

client = pymongo.MongoClient("mongodb://localhost:27017/")

#connet table

who_table = db["who_table"]

#delete all

who_table.drop()

#load csv to table

df = pd.read_csv('1.csv')

data = df.to_dict('records')

who_table.insert_many(data)

#show all items

for x in who_table.find():

print(x)

#save table to csv

cursor = who_table.find({})

df = pd.DataFrame(list(cursor))

df.to_csv('2.csv', index=False)

.

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www.marearts.com

IP 2 Geometry information python

 Here is official page:

https://pypi.org/project/ip2geotools/

https://github.com/tomas-net/ip2geotools

This is my try

..

# pip install ip2geotools

from ip2geotools.databases.noncommercial import DbIpCity

response = DbIpCity.get('165.132.116.105', api_key='free')

print(response)

..

The results :

165.132.116.105

Seodaemun-gu

Seoul

KR

37.5790747

126.9367861

Thank you. 🙇🏻‍♂️

www.marearts.com

increase number in dynamodb field key value

 

Get Access permission

.

import boto3

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

ACCESS_KEY = 'xxxx'

SECRET_KEY = 'xxx'

dynamo_client = boto3.client('dynamodb',

aws_access_key_id = ACCESS_KEY,

aws_secret_access_key = SECRET_KEY

)

.

sample code

.

#update when db

def update_when_db(who, when):

dynamo_client.update_item(

TableName='president_when', #table name

Key={'when': {'S': when}}, #primary key filed name, #key value, if key file not exist, it will create

UpdateExpression="ADD #counter :increment",

ExpressionAttributeNames={'#counter': who}, #key filed name that you want to increase

ExpressionAttributeValues={':increment': {'N': '1'}} #increase 1

)

.

Thank you.

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www.marearts.com

Rotation(orientation) correction when uploading photos from mobile (python, pillow)

 Try to use ImageOps function.

Solution is simple refer to below code:

.

#pip install Pillow

from PIL import Image, ImageOps

image = Image.open('img.jpg') #open image

#### orient fix

image = ImageOps.exif_transpose(image)

#### go futher!

.

Thank you.

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www.marearts.com

Signature & Handwritten Detection in scanned image

 

Live Demo is here:

http://signhand.marearts.com/

API description is here:

https://www.marearts.com/Signature-Handwritten-Detector-c81f875ddb66490a8db990b50ce6f665

Sample data:

https://github.com/MareArts/signature_handwritten_data

Thank you.

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www.marearts.com

Signature & Handwritten Detector on document image

Handwritten & Signature Detector on Document Image

* Live Demo

✍🏼 Signature & Handwritten Detector on Document

http://signhand.marearts.com/

* API explanation

https://www.marearts.com/Signature-Handwritten-Detector-c81f875ddb66490a8db990b50ce6f665

----------------------------------------

🌷 MareArts Free API List 🌷

MareArts 🎬 Live 

http://live.marearts.com

✍🏼 Signature & Handwritten Detector on Document

http://signhand.marearts.com/

🚙 Auto Number Plate Recognition - Korean

http://redkongkr.marearts.com/

🚦 Car License Plate detector

http://lpdetector.marearts.com/

🏳️‍🌈 Representative Color Extractor

http://recolor.marearts.com/

📓 OCR Tess-v5

http://tessv5.marearts.com/

📐 Regular Expression Generator

http://regular.marearts.com/

🐠 QRcode Generator

http://qr.marearts.com/

🦧 Barcode Generator

http://barcode.marearts.com/

🌊 Elastic Image Generator

http://elastic.marearts.com/

🏁 Mosaic Image Generator

http://mosaic.marearts.com/

⚽️ PDF to IMG convertor

http://pdf2img.marearts.com/

🏀 PDF to TXT convertor

http://pdf2txt.marearts.com/

🏈 PDF to HTML convertor

http://pdf2html.marearts.com/

⚾️ PDF to JSON convertor

http://pdf2json.marearts.com/

🙇🏻‍♂️ Thank you!

https://www.marearts.com

-----------------------------------

How to combine multiple criterions to a loss function? Multiple loss function for single model.

You can simply reference below code:

ex1)

b = nn.MSELoss()(output_x, x_labels) a = nn.CrossEntropyLoss()(output_y, y_labels) loss = a + b loss.backward()

ex2)

b = nn.MSELoss() a = nn.CrossEntropyLoss() loss_a = a(output_x, x_labels) loss_b = b(output_y, y_labels) loss = loss_a + loss_b loss.backward()

And there are many opinions in here:

https://discuss.pytorch.org/t/how-to-combine-multiple-criterions-to-a-loss-function/348/27

Thank you.

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pdf2img, pdf to image, python library

 way #1

--

# pip install pdf2image

from pdf2image import convert_from_path

pdffile = '2081033884.pdf'

pages = convert_from_path(pdffile, 500)

#Saving pages in jpeg format

for i, page in enumerate(pages):

page.save(f'pdf2image_{i}.jpg', 'JPEG')

--

way #2

--

#pip install pymupdf

import fitz

pdffile = '2081033884.pdf'

doc = fitz.open(pdffile)

#split pages

for i, page in enumerate(doc.pages()):

pix = page.get_pixmap()

img_filename = f"fitz_{i}.jpg"

pix.pil_save(img_filename, format="jpeg", dpi=(300,300)) #, ... more PIL parameters)

--

Thank you.

www.marearts.com

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