semvec/pypi-packages huggingface dataset:
npgbq 2.1.21
A package designed for helping everyone in the team to work with data ingestion
License: MIT
Requires Python: >=3.6, <4

### Changelog
- **Version 2.0.0**:
  - Change all of the API code
  - Allowed to set detailed configuration for schema of a BigQuery table
  - Added more features to work with BigQuery
- **Version 2.0.1**:
  - Changed some methods to become `staticmethod`
- **Version 2.0.2**:
  - Fixed minor error
- **Version 2.0.3**:
  - Added new method `generate_dummy_schema_from_df` to generrate dummy schema from pandas DataFrame
- **Version 2.0.4**:
  - Allowed to create Hive partitions
- **Version 2.0.5**:
  - Unloaded the pyodbc in default connectors
- **Version 2.0.9**:
  - Added a static method to get the full qualified table name
- **Version 2.1.0**:
  - Added a method to update target schema with ease
- **Version 2.1.1**:
  - Added Biglake connection support
    The steps to work with Biglake = 
    - Create an external connection
    - Get the `service account` from the connection and add to IAM
    - Try create a BigLake manually using the command below
    - now you can use the code to do it `test_create_biglake.py`
- **Version 2.1.2**:
  - Bug Fixed
- **Version 2.1.3**:
  - Bug Fixed
- **Version 2.1.4**:
  - Bug Fixed
- **Version 2.1.5 to 2.1.11**:
  - Bug Fixed
- **Version 2.1.12**:
  - Improved readability
- **Version 2.1.13 14 15**:
  - Add tranformation config support
ImageEnhancer 1.0
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration
License: MIT
Keywords: computer vision,pytorch,image restoration,super-resolution,esrgan,real-esrgan,gfpgan,gradio,image enhancer,image quality enhancement,image upscaler,image quality upscaler


# ImageEnhancer


Enhance and upscale your images effortlessly with ImageEnhancer, a Python library crafted by Rauhan Ahmed Siddiqui. Leveraging the power of GFPGAN and RealESRGAN, state-of-the-art Generative Adversarial Networks, this library provides advanced image enhancement capabilities. Real-ESRGAN focuses on upscaling backgrounds, while GFPGAN excels in refining the faces of human subjects.


## Features

- **Dual Network Integration:** Combines Real-ESRGAN and GFPGAN for comprehensive image enhancement.
- **Gradio Interface:** Seamlessly deployed into production using Gradio Interface for an interactive and user-friendly experience.
- **GPU Acceleration:** Optimized for GPU processing, ensuring fast and efficient image enhancement (Note: Performance may be suboptimal on CPUs).
- **PyPI Integration:** Available on PyPI as the "ImageEnhancer" library for easy installation and use.


## Screenshots

![App Screenshot](https://i.ibb.co/wRTQwrt/Beige-and-White-Be-Yourself-Square-Pillow-2.png)

![App Screenshot](https://i.ibb.co/m00WnDk/Screenshot-2024-01-28-162934.png)

![App Screenshot](https://i.ibb.co/hMg6Xd0/Screenshot-2024-01-28-162745.png)

## Installation
```bash
  pip install ImageEnhancer
```
    
## Usage

```python
from ImageEnhancer import ImageUpscaler

# Initialise the upscaler
upscaler = ImageUpscaler()

# Launch the Gradio Interface
upscaler.launchInterface()
```


## Authors

[Rauhan Ahmed Siddiqui](https://linkedin.com/in/rauhan-ahmed/)


## License

[MIT](https://choosealicense.com/licenses/mit/)
vfxui 0.0.0
Rapid creation of reusable PySide based user interfaces within a VFX environment.
License: MIT
Requires Python: >=3.7

<img title="vfxui logo" src="https://raw.githubusercontent.com/martin-chatterjee/vfxui/main/doc/images/logo.png">

### Rapid creation of reusable PySide based user interfaces within a VFX environment.