semvec/pypi-packages huggingface dataset:
lenscraft 1.2.0
Application to quickly build machine vision pipelines with little or no code
Requires Python: >=3.10

# Lenscraft

This application allows users to create and tweak a custom computer vision pipeline for micro-assembly

## How to run
Install the package from pypi
```
pip install lenscraft
```

To run the application, simply run the command
```
lenscraft
```
or
```
python -m lenscraft
```


## How to Use

1. Add images you want to work with
2. Build vision pipeline using the Node Editor

![image](https://i.imgur.com/ELtun4k.png)

## Developer?

1. Clone the repository
2. Install the package in edit mode

```
pip install -e .
```

3. Run the application
```
python -m lenscraft
```
testing-EyesOnIt 0.0.1
Python SDK for EyesOnIt
Requires Python: >=3.8

# EYESONIT Python SDK #

EyesOnIt makes advanced computer vision easy for anyone without data science 
or computer programming skills. Even without these skills, you can apply
cutting edge computer vision to your video streams and start receiving
alerts by text message in just a few minutes. If you have basic programming
skills, you can quickly enable endless scenarios like these:

- Motion-based detection: trigger computer vision after motion is detected
- Event recording: capture and store your own data about detections
- Image categorization: categorize a collection of images according to the contents

Traditional computer vision involves a complex process to train and tune
a computer vision model. This process typically requires weeks or months
of time from experts with an advanced and specialized skillset. The cost
for this process is often $50,000 to $100,000 USD or more. EyesOnIt is
different. With EyesOnIt, you describe what you want to detect with English
text. EyesOnIt compares your text to your image or video and tells you if
it detected what you described.


See this guide for running the EyesOnIt container:
https://www.eyesonit.us/userguide


### Installation ###

The python SDK can be installed with PIP

```
pip install eyesonit_python_sdk
```


### Usage ###

```
from EyesOnIt import EyesOnItSDK
from data.elements.eoi_prompt import EOIPrompt
from data.elements.eoi_region import EOIRegion
from data.elements.eoi_alerting import EOIAlerting

prompt_one = EOIPrompt(text='person', background_prompt=False, threshold=90)
prompt_two = EOIPrompt(text='trees', background_prompt=True)
prompts = [prompt_one, prompt_two]

region_one = EOIRegion(top_left_x=4, top_left_y=9, width=500, height=300)
regions = [region_one]


app = EyesOnItSDK('http://127.0.0.1:8000')

result = app.process_image(prompts=prompts, regions=regions, image="my_image.jpg")
print(result.success)
print(result.message)

```

### Questions? ###

email us at info@eyesonit.us
Ses-plotly 0.1.7
Objetivo da criação dessas funções são para que reduza o tempo na contrução e estilização de indicadores para Futuros Dashboards utilizando poucas linhas de codigo.
Requires Python: >=3.6

# MyPlotlyPackage

Uma breve descriÃ§Ã£o do seu pacote.

## InstalaÃ§Ã£o

```bash
pip install my_plotly_package