semvec/pypi-packages huggingface dataset:
soco-clip 0.0.12
OpenAI CLIP wrapper

# soco-clip

## How to install
```
pip install soco-clip
```

## Download model
```
wget https://openaipublic.azureedge.net/clip/models/5806e77cd80f8b59890b7e101eabd078d9fb84e6937f9e85e4ecb61988df416f/ViT-B-16.pt
```

## Examples
```
from soco_clip import CLIP

encoder = CLIP()

encoded_texts = encoder.texts(["standing","sitting"])
encoded_images = encoder.images(["a.jpg","b.jpg"])
encoded_video = encoder.video("a.mp4")
video_texts_result = encoder.video_texts("a.mp4",["standing","sitting"])

```
yaqd-picotech 2022.4.0
yaq Daemon for Picotech oscilloscopes under triggered operation.
Requires Python: >=3.7

# yaqd-picotech

[![PyPI](https://img.shields.io/pypi/v/yaqd-picotech)](https://pypi.org/project/yaqd-picotech)
[![Conda](https://img.shields.io/conda/vn/conda-forge/yaqd-picotech)](https://anaconda.org/conda-forge/yaqd-picotech)
[![yaq](https://img.shields.io/badge/framework-yaq-orange)](https://yaq.fyi/)
[![black](https://img.shields.io/badge/code--style-black-black)](https://black.readthedocs.io/)
[![ver](https://img.shields.io/badge/calver-YYYY.0M.MICRO-blue)](https://calver.org/)
[![log](https://img.shields.io/badge/change-log-informational)](https://gitlab.com/yaq/yaqd-picotech/-/blob/main/CHANGELOG.md)

yaq Daemons for [Pico Technologies](https://www.picotech.com/) oscilloscopes and data loggers.

This package contains the following daemon(s):

- https://yaq.fyi/daemons/yaqd-picotech-adc-triggered

# Installation

You will need the drivers, which are available in the [Picotech SDK](https://www.picotech.com/downloads)
metroloj 0.1.5
A python implementation of ImageJ MetroloJ plugin

# MetroloJ-for-python
MetroloJ is an ImageJ software plugin that helps keeping track of microscopes' performances by extracting 4 relevant estimators out of standardized images, acquired from test samples[1]. \
The present project aims to implement MetroloJ functionalities on python. 

# metroloj package
'metroloj' is a pip package that provides functions to analyze microscope images.

# requirements
in a virtual envirenement, run the following command:
```python -m pip install -r metroloj/requirements.txt```

#### References
[1] https://imagejdocu.tudor.lu/plugin/analysis/metroloj/start