In this video we learn how to extract text from images using python. We compare three popular libraries: pytesseract, easyocr, and keras_ocr. Examples are run in a kaggle notebook on the TextOCR dataset.
Notebook used in the video: https://www.kaggle.com/code/robikscub...
Timeline:
00:00 Extracting Text
00:42 TextOCR Dataset
01:31 Outline and Loading Data
04:19 Plotting Text Images
06:12 pytesseract
07:38 easyocr
10:18 keras ocr
13:14 plot comparison
20:00 Results comparison
Follow me on twitch for live coding streams: / medallionstallion_
My other videos:
Speed Up Your Pandas Code: • Make Your Pandas Code Lightning Fast
Speed up Pandas Code: • Make Your Pandas Code Lightning Fast
Intro to Pandas video: • A Gentle Introduction to Pandas Data ...
Exploratory Data Analysis Video: • Exploratory Data Analysis with Pandas...
Working with Audio data in Python: • Audio Data Processing in Python
Efficient Pandas Dataframes: • Speed Up Your Pandas Dataframes
* Youtube: https://youtube.com/@robmulla?sub_con...
* Discord: / discord
* Twitch: / medallionstallion_
* Twitter: / rob_mulla
* Kaggle: https://www.kaggle.com/robikscube
#python #computervision #deeplearning