semvec/pypi-packages huggingface dataset:
ultralyticsplus 0.1.0
HuggingFace utilities for Ultralytics/YOLOv8.
License: MIT
Requires Python: >=3.7
Keywords: machine-learning,deep-learning,ml,vision,yolov8,object-detection,huggingface,datasets

# ultralytics+

Extra features for [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics).

## installation

```bash
pip install ultralyticsplus
```

## push to 🤗 hub

```bash
ultralyticsplus --exp_dir runs/detect/train --hf_model_id HF_USERNAME/MODELNAME
```

## load from 🤗 hub

```python
from ultralyticsplus import YOLO, render_result

# load model
model = YOLO('HF_USERNAME/MODELNAME')

# set model parameters
model.overrides['conf'] = 0.25  # NMS confidence threshold
model.overrides['iou'] = 0.45  # NMS IoU threshold
model.overrides['agnostic_nms'] = False  # NMS class-agnostic
model.overrides['max_det'] = 1000  # maximum number of detections per image

# set image
image = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'

# perform inference
results = model.predict(image, imgsz=640)

# parse results
result = results[0]
boxes = result.boxes.xyxy # x1, y1, x2, y2
scores = result.boxes.conf
categories = result.boxes.cls
scores = result.probs # for classification models
masks = result.masks # for segmentation models

# show results on image
render = render_result(model=model, image=image, result=result)
render.show()
```
svd-downloader 0.1.1
Simple utility to download Saarbruecken Voice Database
License: MIT
Keywords: Downloader,SVD,Disordered Voice Database

# svd-downloader

This repo allows downloading the entire Saarbruecken Voice Database.

Originally based on (https://github.com/HAMMADIPRO/SVD_downloader), but in it's current form it is almost entirely modified. The changes were made primarily to allow for automatic creation of files, running most fetches in parallel and to break downloading of files and saving list of links into separate steps.

## Installation

```bash
pip install svd-downloader
```

## Running

```bash
python -m svd-downloader <output_directory>
```

### Arguments

- <output_directory>: positional argument, specifies where to download data
- --refetch-links: if links file already exists then refetch all links

## License

This project itself is licensed under the [MIT License](./LICENSE), but the dataset that will be downloaded is licensed licensed under [SVD dataset License](LICENSE).