semvec/pypi-packages huggingface dataset:
cvwrite 0.0.2
The Video Writer Package is a Python library designed to simplify the process of capturing frames and saving them as video files. It provides an easy-to-use interface for creating video files from sequences of frames using the OpenCV library.
Requires Python: >=3.8

# Video Writer Package

The Video Writer Package is a simple Python library that provides a wrapper around OpenCV's VideoWriter functionality, allowing you to easily capture frames and save them as video files.

## Installation

To install the Video Writer Package, you can use `pip`:

```bash
pip install cvwrite
```

## Parameters

* filename: The name of the output video file.
* fps: Frames per second for the output video.
* frame_size: Tuple representing the dimensions (width, height) of the frames.

## Supported Codecs (FourCC)

* 'XVID': Xvid codec
* 'H264' or 'H265': H.264 (AVC) or H.265 (HEVC) codecs for MP4 videos
* 'MP4': Motion JPEG codec
  
## Uses
```bash

from cvwrite.video_writer import VideoWriterWrapper

video_writer = VideoWriterWrapper('output.avi/output.mp4..', fps, size)

video_writer.write_frame(frame)
video_writer.save_image(frame, name)
```
Skylark-Grid 0.3
An image grid maker tool

# Image Grid Maker
The Image Grid is a Python script that merges a set of images into a grid and generates YOLO-style annotations for the merged images. This can be useful for creating custom datasets for object detection tasks.

## Prerequisites
Before running the script, make sure you have the following dependencies installed:

- Python 3.x
- OpenCV (cv2)
- NumPy

You can install the required packages using `pip`:

```bash
pip install opencv-python
pip install Numpy
```
## Usage

Import the ImageMerger class in your Python script:

```bash
from Skylark_Grid import ImageMerger
```

Create an instance of the ImageMerger class by providing the input directory, output directory, and other optional parameters:
python

```bash
input_image_label_dir = "E:/Grid_Txt/Images"
output_dir = "E:/Grid_Txt/Output"
image_shape = (320, 320)  # Specify the desired image shape here
group_size = 9
try:
    merger = ImageMerger(input_image_label_dir, output_dir, group_size=group_size, image_shape=image_shape)
    merger.process_images()
except ValueError as e:
    print(f"Error: {str(e)}")
```
## Customization
You can customize the script by modifying the ImageMerger class to fit your specific requirements. For example, you can adjust the image size, grid size, or annotation format.
richify 0.0.2
Rich highlight arbitrary text output in your terminal
Requires Python: >=3.6

# richify

Automatically rich highlight arbitrary text output in your terminal.

## Dependencies

 - [Python 3.x](https://python.org)
 - [Textualize/rich](https://github.com/Textualize/rich)

## Installation

```sh
$  pip install richify
```

## Usage Examples

```sh
$  dmesg | richify
```

```sh
$  apt show git | richify
```

```sh
ifconfig | richify
```

```sh
journalctl -ru ssh | richify --color=always | less -R
```