semvec/pypi-packages huggingface dataset:
easy-rfdetr 0.1.0
YOLO-like API for RF-DETR real-time object detection
Requires Python: >=3.10

# easy-rfdetr

<p align="center">
  <img src="https://img.shields.io/pypi/v/easy-rfdetr" alt="PyPI Version">
  <img src="https://img.shields.io/pypi/dm/easy-rfdetr" alt="PyPI Downloads">
  <img src="https://img.shields.io/pypi/pyversions/easy-rfdetr" alt="Python Versions">
  <a href="https://colab.research.google.com/github/easy-rfdetr/easy-rfdetr/blob/main/examples/train.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"></a>
</p>

## Train a Model

```python
from easy_rfdetr import RFDETR

model = RFDETR("medium")
model.train(data="my_dataset/", epochs=50)
```

## Run Inference

```python
model("image.jpg").show()
```

## Install

```bash
pip install easy-rfdetr
```

Drop-in replacement for `YOLO()` from ultralytics. Same API, transformer accuracy.

---

## Training

Drop your dataset in a folder. We auto-detect COCO or YOLO format:

```
dataset/
├── train/images/ + labels/
├── valid/images/ + labels/
└── test/images/ + labels/
```

Train:
```python
model.train(data="dataset/", epochs=50, batch=8)
```

Resume:
```python
model.train(data="dataset/", resume=True)
```

---

## Inference

```python
model = RFDETR("medium")  # nano, small, medium, large

# From file
model("photo.jpg").show()

# From URL
model("https://example.com/img.jpg")

# Batch
model(["a.jpg", "b.jpg"])

# Confidence threshold
model("img.jpg", threshold=0.8)

# Get boxes
r = model("img.jpg")
print(r.boxes)     # xyxy
print(r.scores)    # confidence
print(r.labels)    # ["person", "car", ...]

# Save
r.save("output.jpg")
```

---

## Web UI

```python
model.ui()
```

---

## CLI

```bash
rfdetr predict source=image.jpg
rfdetr train data=dataset/ epochs=50
```

---

## Requirements

- Python >= 3.10
- PyTorch >= 2.0.0
- CUDA or Apple Silicon (optional)

---

## License

Apache 2.0 - See [LICENSE](LICENSE)

---

Built on [RF-DETR](https://github.com/roboflow/rf-detr) by Roboflow.
herd-notify-slack 0.0.1
Herd notification adapter for Slack.
Requires Python: >=3.10
Keywords: agents, ai, governance, herd, messaging, notification-adapter, notifications, slack

# herd-notify-slack

**Herd notification adapter for Slack.**

Posts agent activity, status updates, decision records, and escalations
to Slack channels.

Part of [The Herd](https://github.com/dbt-conceptual/herd-core) ecosystem.

## Status

Pre-release — package name reserved.

## Install

```bash
pip install herd-core herd-notify-slack
```

## License

MIT
herd-repo-github 0.0.1
Herd repository operations adapter for GitHub.
Requires Python: >=3.10
Keywords: agents, ai, git, github, governance, herd, pull-requests, repository-adapter

# herd-repo-github

**Herd repository operations adapter for GitHub.**

Branch creation, pushes, pull requests, merges, and code review operations
via GitHub CLI and API.

Part of [The Herd](https://github.com/dbt-conceptual/herd-core) ecosystem.

## Status

Pre-release — package name reserved.

## Install

```bash
pip install herd-core herd-repo-github
```

## License

MIT
crcc 2.2.0
C and Python CRC calculations module.
Requires Python: <4.0.0,>=3.10.0
Keywords: crcc, crc

crcc
====

C and Python (ctypes/cffi-based) CRC calculations module.

Overview
========

TBD...

`PyPI record`_.

`Documentation`_.

Usage
-----

TBD...

Installation
============

Prerequisites:

+ Python 3.10 or higher

  * https://www.python.org/

+ pip

  * https://pypi.org/project/pip/

To install run:

  .. parsed-literal::

    python -m pip install --upgrade |package|

Development
===========

Prerequisites:

+ Development is strictly based on *nox*. To install it run::

    python -m pip install --upgrade nox

Visit `Development page`_.

Installation from sources:

clone the sources:

  .. parsed-literal::

    git clone |respository| |package|

and run:

  .. parsed-literal::

    python -m pip install ./|package|

or on development mode:

  .. parsed-literal::

    python -m pip install --editable ./|package|

License
=======

  | |copyright|
  | Licensed under the zlib/libpng License
  | https://opensource.org/license/zlib
  | Please refer to the accompanying LICENSE file.

Authors
=======

* Adam Karpierz <adam@karpierz.net>

Sponsoring
==========

| If you would like to sponsor the development of this project, your contribution
  is greatly appreciated.
| As I am now retired, any support helps me dedicate more time to maintaining and
  improving this work.

`Donate`_

.. |package| replace:: crcc
.. |package_bold| replace:: **crcc**
.. |copyright| replace:: Copyright (c) 1994-2026 Adam Karpierz
.. |respository| replace:: https://github.com/karpierz/crcc
.. _Development page: https://github.com/karpierz/crcc
.. _PyPI record: https://pypi.org/project/crcc/
.. _Documentation: https://karpierz.github.io/crcc/
.. _Donate: https://www.paypal.com/donate/?hosted_button_id=FX8L7CJUGLW7S
herd-ticket-linear 0.0.1
Herd ticket lifecycle adapter for Linear.
Requires Python: >=3.10
Keywords: agents, ai, governance, herd, issue-tracking, linear, project-management, ticket-adapter

# herd-ticket-linear

**Herd ticket lifecycle adapter for Linear.**

Creates, updates, transitions, and queries tickets in Linear.
Reference implementation for the Herd ticket adapter interface.

Part of [The Herd](https://github.com/dbt-conceptual/herd-core) ecosystem.

## Status

Pre-release — package name reserved.

## Install

```bash
pip install herd-core herd-ticket-linear
```

## License

MIT
herd-agent-claude 0.0.1
Herd execution adapter for Claude Code CLI.
Requires Python: >=3.10
Keywords: agent-framework, agents, ai, claude, claude-code, execution-adapter, governance, herd

# herd-agent-claude

**Herd execution adapter for Claude Code CLI.**

Spawns, monitors, and communicates with agents running as Claude Code sessions.

Part of [The Herd](https://github.com/dbt-conceptual/herd-core) ecosystem.

## Status

Pre-release — package name reserved.

## Install

```bash
pip install herd-core herd-agent-claude
```

## License

MIT
herd-store-duckdb 0.0.1
Herd storage adapter — local DuckDB + MotherDuck.
Requires Python: >=3.10
Keywords: agents, ai, data-warehouse, duckdb, governance, herd, motherduck, storage-adapter

# herd-store-duckdb

**Herd storage adapter — local DuckDB + MotherDuck.**

Persists agent sessions, decision records, handoffs, and operational data.
Works with local DuckDB for development and MotherDuck for shared/production state.

Part of [The Herd](https://github.com/dbt-conceptual/herd-core) ecosystem.

## Status

Pre-release — package name reserved.

## Install

```bash
pip install herd-core herd-store-duckdb
```

## License

MIT