pytesseract
jukebox
pytesseract | jukebox | |
---|---|---|
11 | 129 | |
5,570 | 7,612 | |
- | 1.1% | |
7.6 | 0.0 | |
15 days ago | 21 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
jukebox
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Open Source Libraries
openai/jukebox: Music Generation
- Will AI be able to create similar sounding music based off input?
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Best model for music generation?
https://github.com/openai/jukebox The demo code is there.
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Why didn't OpenAI MIT license Jukebox the same way they did CLIP?
I didn't even know about it until I heard Sam Altman casually mention it in an interview, I was expecting some basic tunes generator, but this is so amazing! I mean yeah the voices are not clear, it's muffled, but look at how far have image models progressed, if you applied the same amount of collaborative effort here, the results could be amazing! ElevenLabs showed how good and clear can AI-created voices sound. The only reason I can think of is that the Jukebox code is under view license only.
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[R] [N] Noise2Music - Diffusion models for generating high quality music audio from text prompts, by Google Research
OpenAI had this figured out 3 years ago: https://openai.com/blog/jukebox/ . You could then even define your own text. Model is open source too.
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Is music next?
They've had jukebox for a few years now, so I'm sure some new model will get released and explode overnight, like what chatGPT did.
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Mongolian Gabba Goat Techno
That already exists
- El éxito continuo de OpenAI: Y como llegaron a crear la IA más avanzada del 2023. ChatGPT.
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Implementation of Google's MusicLM in PyTorch
This model is designed to output raw audio.
However, there are many models which do output midi. That's actually much simpler, and has been done already a few years ago.
I thought OpenAI did this. But then, I might misremember, because their Jukebox actually also seems to produce raw audio (https://openai.com/blog/jukebox/).
However, midi generation is so easy, you even find it in some tutorials: https://www.tensorflow.org/tutorials/audio/music_generation
- FREE AI THINGS
What are some alternatives?
pyocr
lucid-sonic-dreams
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
tesserocr - A Python wrapper for the tesseract-ocr API
spleeter - Deezer source separation library including pretrained models.
Signalum - To explore creating an application that detects available connections at once from wifi and bluetooth
music-demixing-challenge-starter-kit - Starter kit for getting started in the Music Demixing Challenge.
normcap - OCR powered screen-capture tool to capture information instead of images
dalle-mini - DALL·E Mini - Generate images from a text prompt
Camelot - A Python library to extract tabular data from PDFs
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models