semvec/pypi-packages huggingface dataset:
curated-tokenizers 2.0.0
Lightweight piece tokenization library
License: MIT
Requires Python: >=3.9

# 🥢 Curated Tokenizers

This Python library provides word-/sentencepiece tokenizers. The following
types of tokenizers are currenty supported:

| Tokenizer | Binding       | Example model |
| --------- | ------------- | ------------- |
| BPE       | sentencepiece |               |
| Byte BPE  | Native        | RoBERTa/GPT-2 |
| Unigram   | sentencepiece | XLM-RoBERTa   |
| Wordpiece | Native        | BERT          |

## ⚠️ Warning: experimental package

This package is experimental and it is likely that the APIs will change in
incompatible ways.

## ⏳ Install

Curated tokenizers is availble through PyPI:

```bash
pip install curated_tokenizers
```

## 🚀 Quickstart

The best way to get started with curated tokenizers is through the
[`curated-transformers`](https://github.com/explosion/curated-transformers)
library. `curated-transformers` also provides functionality to load tokenization
models from Huggingface Hub.
opencv.wrap 0.0.1
working with opencv can be quite a hussel, a lot of boiler code, nested functions for specific use cases, this package is designed to make it easier to work with opencv, while focusing on the main task in hand.
License: MIT

opencv_wrap
===========

::

   A collection of decorators for opencv and helper functions for multiple opencv tasks.

Built with ❤︎ and ☕ by [@rishi23root](https://github.com/rishi23root/)

rishi23root/opencv_wrap/

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Features
========

-  TotalTimeTaken
-  CalculateFps
-  MirrorFrame
-  ConvertCOLOR
-  ReadCamAndShowFrames
-  ReadCamAddDetectShowFrames
-  ReadCamAddDetectShowFrames_video

additional Utils
================

-  saveFrames
-  detectionBox
-  show_all_frames

Detection Utils
===============

-  face detection
-  hand detection
-  eye detection (yet to be added)

add code examples here for each feature and utilities

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