pytesseract
Pytorch
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pytesseract | Pytorch | |
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11 | 338 | |
5,513 | 77,783 | |
- | 2.4% | |
7.6 | 10.0 | |
12 days ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | BSD 1-Clause License |
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pytesseract
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What's the BEST way to detect these letters on an image?
If you don't have it already: https://github.com/madmaze/pytesseract
- API Python pour récupérer ses données quotidiennes de compte Credit Mutuel ?
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pytesseract.pytesseract.TesseractError: (2, 'Usage: pytesseract [-l lang] input_file')
Yes, pytesseract is a wrapper script and all heavy lifting is done by Tesseract. See the README.
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....
As far as working with reading text from a image there are lots of different libraries for doing this sort of thing, but one of the biggest is probably pytesseract. It is extremely powerful for image to text, and reliably beats alphabet soup captchas.
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Extract Highlighted Text from a Book using Python
I'm going to use the Tesseract OCR engine and library, and its Python wrapper PyTesseract for text extraction. But there are numerous libraries out there to extract text from an image. In a real world application I would probably use cloud services from AWS, Google or Microsoft to handle this task.
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A bot that copies a 15 digit number from a picture and renames the picture by that number
There's Python Tesseract to do the OCR from python. I think this is not really a beginner's project. Not too much programming, but you need to be able to install the required libraries and glue everything together. If you don't know how to do that maybe start with something simpler.
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text recognition code
From what I have heard, tesseract is the best python module for OCR
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exporting handwritten dataset as text, export it and use it as a csv
Yeah, I’m pretty sure the Remarkable OCR is not up to these kinds of tasks unfortunately. If you know some coding you could write something that’d likely work well in Python using for ex. this for receiving the mail attachment and this for converting the PDF to CSV. This is in case you’d write your data as a table on the Remarkable, which I guess is preferable to writing something like (0.5, 8.4, -0.3). If you’d rather do it that way, there are other more suitable OCR tools like this one. The checkbox use-case in the comment above would also be possible by modifying this approach. DM if you’d like to discuss further work.
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Top 5 Python libraries for Computer vision
pytesseract - Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine. It is also useful as a stand-alone invocation script to tesseract, as it can read all image types supported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff, and others. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file.
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Using Google's OCR API with Puppeteer for Visual Testing
There are multiple open-source OCR tools like pytesseract or EasyOCR, which can be used to integrate OCR functionality into a program. However, these tools require significant configurations to get up and running to provide results with an acceptable accuracy level.
Pytorch
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Einsum in 40 Lines of Python
PyTorch also has some support for them, but it's quite incomplete and has many issues so that it is basically unusable. And its future development is also unclear. https://github.com/pytorch/pytorch/issues/60832
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Library for Machine learning and quantum computing
TensorFlow
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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penzai: JAX research toolkit for building, editing, and visualizing neural nets
> does PyTorch have a similar concept
of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...
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Tinygrad: Hacked 4090 driver to enable P2P
fyi should work on most 40xx[1]
[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...
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The Elements of Differentiable Programming
Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...
Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....
> When an input, which we call “primal”, is associated with a “direction” tensor, which we call “tangent”, the resultant new tensor object is called a “dual tensor” for its connection to dual numbers[0].
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Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In PyTorch with @, dot() or matmul():
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Building a GPT Model from the Ground Up!
import torch # we use PyTorch: https://pytorch.org data = torch.tensor(encode(text), dtype=torch.long) print(data.shape, data.dtype) print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this
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Open Source Ascendant: The Transformation of Software Development in 2024
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries.
What are some alternatives?
pyocr
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
tesserocr - A Python wrapper for the tesseract-ocr API
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
Signalum - To explore creating an application that detects available connections at once from wifi and bluetooth
flax - Flax is a neural network library for JAX that is designed for flexibility.
normcap - OCR powered screen-capture tool to capture information instead of images
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
Camelot - A Python library to extract tabular data from PDFs
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more