semvec/pypi-packages huggingface dataset:
orbqt 0.0.0
3D motion capture vizualizer implemented in PyQt
Requires Python: >=3.10
Keywords: basic,template,python,repository

# Basic Repo Template

This is a basic template repository for a python project. 

Change the `package_name` in: `pyproject.toml` to the name of your package (doing a search and replace for the default string `orbqt` being careful to check folder and file names) *`NOTE` - This is pretty clunky and will be automated via a [cookiecutter](https://github.com/cookiecutter/cookiecutter) template "soon."*


You'll also want to change the `name`, `email` etc in `pyproject.toml` and `{repository_name}.__init__.py` to your own details.

## Publishing to PyPi (to make it pip installable)

NOTE - These instructions haven't been tested yet, this is placeholder text (written 2023-01-19)

You'll need to create a PyPi account and then create an API token for the Github Action configured in the file: `.github/workflows/publish_to_pypi_when_new_tag_is_pushed_to_main.yml` 

These instructions may help you set that up! https://packaging.python.org/en/latest/guides/publishing-package-distribution-releases-using-github-actions-ci-cd-workflows/


# Basic Setup

Clone the repo

Create a venv with: 

```
python -m venv .venv
```

Make sure that .venv is active

From within the repo (which will have a subfolder named after the package), build the local wheel of the package: 

```
python -m pip install -e .
```
yolov16 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv16

Implementation of paper - [YOLOv16](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov16
```
yolov15 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv15

Implementation of paper - [YOLOv15](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov15
```
yolov13 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv13

Implementation of paper - [YOLOv13](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov13
```
yolov12 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv12

Implementation of paper - [YOLOv12](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov12
```
yolov11 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv11

Implementation of paper - [YOLOv11](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov11
```
airtouch4pyapi 1.0.8
An api allowing control of AC state (temperature, on/off, mode) of an Airtouch 4 controller locally over TCP
Requires Python: >=3.6

# Airtouch 4 & 5 Python TCP API
An api allowing control of AC state (temperature, on/off, mode) of an Airtouch 4 controller locally over TCP.  Airtouch 5 support is experimental as of 28 Nov 2022, and is fully interface compatible with AT4.  

All you need to do is initialise and specify the correct AirTouchVersion (if you don't, it assumes 4).  

## Warning
I am using this with my own Airtouch 4 and see no issues. Please don't blame me if you have any issues with your Airtouch 4 or AC system after using this - I don't know much about AC systems and will probably not be able to help!

Others are using it with Airtouch 5 and see no issues.  

## Usage
To initialise:
* `airTouch = AirTouch("192.168.1.19")`
* `airTouch = AirTouch("192.168.1.1", AirTouchVersion.AIRTOUCH5)`

As a test:

Use the demo.py file and pass in an AirTouch IP.  It takes you through a few tests.  

## Notes
AirTouch5: If you turn off all zones, the AC itself turns off.  Turning on a zone does not turn the AC back on by itself.  You must turn it back on too.  Same behaviour in 'official' app.  

To load:
* `await airTouch.UpdateInfo();` -- This loads the config from the AirTouch.  Make sure you check for any errors before using it.  It will load the Group/Zone info, the AC info, then capabilities.  This needs to happen prior to using. 

The following functions are available:

Group Level Functions:
* `SetGroupToTemperature` (async)
* `TurnGroupOn` (async)
* `TurnGroupOff` (async)
* `SetCoolingModeByGroup` (async)
* `SetFanSpeedByGroup` (async)
* `GetSupportedCoolingModesByGroup` -- Based on the loaded config.
* `GetSupportedFanSpeedsByGroup` -- Based on the loaded config.

AC Level Functions
* `TurnAcOn` (async)
* `TurnAcOff` (async)
* `SetFanSpeedForAc` (async)
* `SetCoolingModeForAc` (async)
* `GetSupportedCoolingModesForAc`
* `GetSupportedFanSpeedsForAc`
* `GetAcs`
yolov100 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv100

Implementation of paper - [YOLOv100](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov100
```
yolov99 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv99

Implementation of paper - [YOLOv99](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov99
```
yolov98 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv98

Implementation of paper - [YOLOv98](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov98
```
yolov97 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv97

Implementation of paper - [YOLOv97](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov97
```
yolov96 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv96

Implementation of paper - [YOLOv96](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov96
```
yolov95 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv95

Implementation of paper - [YOLOv95](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov95
```
yolov94 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv94

Implementation of paper - [YOLOv94](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov94
```
yolov93 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv93

Implementation of paper - [YOLOv93](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov93
```
yolov92 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv92

Implementation of paper - [YOLOv92](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov92
```
yolov91 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv91

Implementation of paper - [YOLOv91](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov91
```
yolov90 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv90

Implementation of paper - [YOLOv90](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov90
```
yolov89 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv89

Implementation of paper - [YOLOv89](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov89
```
yolov88 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv88

Implementation of paper - [YOLOv88](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov88
```
yolov87 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv87

Implementation of paper - [YOLOv87](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov87
```
yolov86 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv86

Implementation of paper - [YOLOv86](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov86
```
yolov85 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv85

Implementation of paper - [YOLOv85](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov85
```
yolov84 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv84

Implementation of paper - [YOLOv84](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov84
```
yolov83 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv83

Implementation of paper - [YOLOv83](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov83
```
yolov82 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv82

Implementation of paper - [YOLOv82](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov82
```
yolov81 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv81

Implementation of paper - [YOLOv81](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov81
```
yolov80 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv80

Implementation of paper - [YOLOv80](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov80
```
yolov79 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv79

Implementation of paper - [YOLOv79](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov79
```
yolov78 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv78

Implementation of paper - [YOLOv78](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov78
```
yolov77 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv77

Implementation of paper - [YOLOv77](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov77
```
yolov76 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv76

Implementation of paper - [YOLOv76](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov76
```
yolov75 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv75

Implementation of paper - [YOLOv75](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov75
```
yolov74 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv74

Implementation of paper - [YOLOv74](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov74
```
yolov73 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv73

Implementation of paper - [YOLOv73](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov73
```
yolov72 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv72

Implementation of paper - [YOLOv72](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov72
```
yolov71 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv71

Implementation of paper - [YOLOv71](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov71
```
yolov70 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv70

Implementation of paper - [YOLOv70](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov70
```
yolov69 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv69

Implementation of paper - [YOLOv69](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov69
```
yolov68 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv68

Implementation of paper - [YOLOv68](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov68
```
yolov67 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv67

Implementation of paper - [YOLOv67](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov67
```
yolov66 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv66

Implementation of paper - [YOLOv66](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov66
```
yolov65 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv65

Implementation of paper - [YOLOv65](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov65
```
yolov64 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv64

Implementation of paper - [YOLOv64](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov64
```
yolov63 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv63

Implementation of paper - [YOLOv63](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov63
```
yolov62 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv62

Implementation of paper - [YOLOv62](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov62
```
yolov61 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv61

Implementation of paper - [YOLOv61](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov61
```
yolov60 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv60

Implementation of paper - [YOLOv60](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov60
```
yolov59 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv59

Implementation of paper - [YOLOv59](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov59
```
yolov58 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv58

Implementation of paper - [YOLOv58](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov58
```
yolov57 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv57

Implementation of paper - [YOLOv57](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov57
```
yolov56 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv56

Implementation of paper - [YOLOv56](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov56
```
yolov55 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv55

Implementation of paper - [YOLOv55](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov55
```
yolov54 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv54

Implementation of paper - [YOLOv54](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov54
```
yolov53 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv53

Implementation of paper - [YOLOv53](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov53
```
yolov52 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv52

Implementation of paper - [YOLOv52](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov52
```
yolov51 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv51

Implementation of paper - [YOLOv51](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov51
```
yolov50 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv50

Implementation of paper - [YOLOv50](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov50
```
yolov49 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv49

Implementation of paper - [YOLOv49](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov49
```
yolov48 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv48

Implementation of paper - [YOLOv48](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov48
```
yolov47 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv47

Implementation of paper - [YOLOv47](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov47
```
yolov46 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv46

Implementation of paper - [YOLOv46](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov46
```
yolov45 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv45

Implementation of paper - [YOLOv45](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov45
```
yolov44 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv44

Implementation of paper - [YOLOv44](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov44
```
yolov43 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv43

Implementation of paper - [YOLOv43](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov43
```
yolov42 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv42

Implementation of paper - [YOLOv42](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov42
```
yolov41 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv41

Implementation of paper - [YOLOv41](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov41
```
yolov40 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv40

Implementation of paper - [YOLOv40](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov40
```
yolov39 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv39

Implementation of paper - [YOLOv39](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov39
```
yolov38 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv38

Implementation of paper - [YOLOv38](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov38
```
yolov37 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv37

Implementation of paper - [YOLOv37](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov37
```
yolov36 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv36

Implementation of paper - [YOLOv36](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov36
```
yolov35 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv35

Implementation of paper - [YOLOv35](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov35
```
yolov34 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv34

Implementation of paper - [YOLOv34](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov34
```
yolov33 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv33

Implementation of paper - [YOLOv33](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov33
```
yolov32 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv32

Implementation of paper - [YOLOv32](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov32
```
yolov31 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv31

Implementation of paper - [YOLOv31](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov31
```
yolov30 0.0.1
To the moon!
Requires Python: >=3.6

# Official YOLOv30

Implementation of paper - [YOLOv30](https://www.youtube.com/watch?v=dQw4w9WgXcQ)

We achieved `skynet` on COCO dataset

<img width=500px src="docs/moon.png"/>

## Installation

```
pip install yolov30
```