semvec/pypi-packages huggingface dataset:
yolov5robociktest 1.0.0
Fork of YOLO V5 for KN Robocik
Requires Python: >=3.6

# YOLO V5 fork for AUVs

## Install

```bash
pip install -r requirements.txt
```

## Run

```bash
python interface.py
```

## Train

```bash
python train.py --data coco.yaml --cfg yolov5s.yaml --weights '' --batch-size 64
                                       yolov5m                                40
                                       yolov5l                                24
                                       yolov5x                                16
```

[Training tutorial](https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data)

[Original README](./README_ORIGINAL.md)
helloworld-examplePackage 0.0.1
Say hello!

# Hello World
This is an example/format project demonstrating how to publish a python module to PyPI.

```python
pip install helloworld
```

# Developing Hello World
To install helloworld, along with the tools you need to develop and run tests, run the following in you virtualenv:

```bash
$ pip install -e .[dev]
```

## Usage
```python
from helloworld import say_hello

# Generate "Hello, World!"
say_hello()

# Generate "Hello, Everybody!"
say_hello("Everybody")
```