[PYTHON] I tried knocking 100 image processes (Q1 ~ Q10)

I tried image processing 100 knock

reference

https://yoyoyo-yo.github.io/Gasyori100knock/ icon.png

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I tried knocking 100 image processes (Q1 ~ Q10)
I tried AutoGluon's Image Classification
I tried playing with the image with Pillow
I tried simple image recognition with Jupyter
I tried scraping
I tried PyQ
I tried AutoKeras
I tried papermill
I tried django-slack
I tried Django
I tried spleeter
I tried cgo
I tried "smoothing" the image with Python + OpenCV
I tried image recognition of CIFAR-10 with Keras-Learning-
I tried "differentiating" the image with Python + OpenCV
I tried image recognition of CIFAR-10 with Keras-Image recognition-
I tried image processing like an event camera
I tried to get an image by scraping
I tried to correct the keystone of the image
I tried "binarizing" the image with Python + OpenCV
I tried using the image filter of OpenCV
I tried simple image processing with Google Colaboratory.
I tried using parameterized
I tried using argparse
I tried using mimesis
I tried using anytree
I tried competitive programming
I tried running pymc
I tried ARP spoofing
I tried to detect the iris from the camera image
I tried using Summpy
I tried Python> autopep8
[OpenCV / Python] I tried image analysis of cells with OpenCV
I tried using coturn
I tried using Pipenv
I tried using matplotlib
I tried using "Anvil".
I tried using Hubot
I tried using ESPCN
I tried PyCaret2.0 (pycaret-nightly)
I tried using openpyxl
I tried deep learning
I tried AWS CDK!
I tried using Ipython
I tried to debug.
I tried using PyCaret
I tried using cron
I tried Kivy's mapview
I tried using ngrok
I tried using face_recognition
I tried to paste
I tried using Jupyter
I tried using PyCaret
I tried moving EfficientDet
I tried shell programming
I tried using Heapq
I tried using doctest
I tried Python> decorator
I tried running TensorFlow
I tried Auto Gluon
I tried using folium