keras-ocr
oxia
| keras-ocr | oxia | |
|---|---|---|
| 4 | 4 | |
| 1,342 | 194 | |
| - | 4.1% | |
| 3.5 | 8.6 | |
| 7 months ago | 5 days ago | |
| Python | Go | |
| MIT License | Apache License 2.0 |
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keras-ocr
- FLaNK Stack Weekly for 30 April 2023
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Ask HN: Best pretrained OCR model for dashcam footage?
I'm trying to detect things like speed limits, stop signs, retail building signs from a relatively low quality dashcam. The video is 1440p, but the optics aren't great.
So far I've been using generic OCR models like [1] and [2], but the results aren't great.
[1] https://github.com/faustomorales/keras-ocr
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Why do new architectures still use old models?
Yes, you should be able to do it by replacing the the backbone and training the other parts again. The results may be better or worse than you expected. See: https://github.com/faustomorales/keras-ocr/issues/113
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How easy would it be/how would I go about implementing automated OCR + word count estimate after a file upload for a translation website?
There's plenty of OCR models around. If you'll have a Python server handling this, you can try keras-ocr. If you want to do this right in the browser, you can use a tflite model.
oxia
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ClickHouse Keeper: A ZooKeeper alternative written in C++
TBH, I don't think so.
I mean, I have worked and, and been guilty of tooling driven development (RiiR anyone?) .
But, also, in a comment below Alexey shares many of the reasons other than language. I think Oxia does a good job of sharing their approach in - https://github.com/streamnative/oxia/blob/main/docs/design-g...
(Alexey's comment, FYI, https://news.ycombinator.com/item?id=37677324)
- FLaNK Stack Weekly for 30 April 2023
What are some alternatives?
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
pandas-ai - Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
zetcd - Serve the Apache Zookeeper API but back it with an etcd cluster
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
killport - A command-line tool to easily kill processes running on a specified port.
adoptium
Image2CAD - An application to translate raster image of CAD drawing sheet to a user editable DXF format.
kuasar - A multi-sandbox container runtime that provides cloud-native, all-scenario multiple sandbox container solutions.
CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)
h2o-llmstudio - H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/