semvec/pypi-packages huggingface dataset:
yolo-seg-ort 1.0.1
Deploy YOLO-Seg ONNX model with ONNX Runtime
Requires Python: >=3.8
Keywords: yolo-seg, onnx, onnxruntime

# yolo-seg-ort


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<br />

<p align="center">  <a href="https://github.com/7emotions/yolo-seg-ort/">
  <img src="images/logo.png" alt="Logo">
  </a>
  <h3 align="center">yolo-seg-ort</h3>
  <p align="center">
    采用纯ONNX Runtime实现YOLOv11-seg的onnx模型。<br />
    <a href="https://github.com/7emotions/yolo-seg-ort"><strong>探索本项目的文档 »</strong></a><br />
    <br />
    <a href="https://github.com/7emotions/yolo-seg-ort/releases">查看发布</a>
    ·
    <a href="https://github.com/7emotions/yolo-seg-ort/issues">报告Bug</a>
    ·
    <a href="https://github.com/7emotions/yolo-seg-ort/issues">提出新特性</a>
  </p>
</p>

## 1. 模型转换

```python

from ultralytics import YOLO

# Load the YOLO11 model
model = YOLO("best.pt")

# Export the model to ONNX format
model.export(format="onnx")  # creates 'yolo11n.onnx'

```

## 2. 安装依赖

```bash
pip install -r requirements.txt
```

## 3. 用法

```python
from yolo_seg_ort import YOLOSeg
import cv2

onnx_path = "best.onnx"
image_path = "test.jpg"

image = cv2.imread(image_path)

model = YOLOSeg(
    onnx_model=onnx_path,
    classes=["Grass", "Ground", "Ramp", "Road", "Stairs"],
    conf=0.25,
    iou=0.7,
    imgsz=640,
)

result = model(image)

if result:
    result[0].save("./results.jpg")
    # result[0].show()
else:
    print("未检测到任何对象或结果为空。")

```

## 4. 结果

<img src="test/test.jpg"/><img src="test/results.jpg" />

## 5. 贡献者

[7emotions](https://github.com/7emotions)

## 6. 许可证

本项目采用 MIT 许可证。有关详细信息，请查看 [LICENSE](LICENSE) 文件。
iflow-mcp_mealie-mcp-server 0.1.0
Add your description here
Requires Python: >=3.12

[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/rldiao-mealie-mcp-server-badge.png)](https://mseep.ai/app/rldiao-mealie-mcp-server)

# Mealie MCP Server

This project enables AI assistants to interact with your [Mealie](https://github.com/mealie-recipes/mealie) recipe database through MCP client such as Claude Desktop.

## Prerequisites

- Python 3.12+
- Running Mealie instance with API key
- Package manager [uv](https://docs.astral.sh/uv/getting-started/installation/)

## Usage with Claude Desktop

### Option 1: Using fastmcp (Recommended)

Install the server directly with the `fastmcp` command:

```bash
fastmcp install src/server.py \
  --env-var MEALIE_BASE_URL=https://your-mealie-instance.com \
  --env-var MEALIE_API_KEY=your-mealie-api-key
```

### Option 2: Manual Configuration

Add the server to your `claude_desktop_config.json`

```json
{
  "mcpServers": {
    "mealie-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/repo/src",
        "run",
        "server.py"
      ],
      "env": {
        "MEALIE_BASE_URL": "https://your-mealie-instance.com",
        "MEALIE_API_KEY": "your-mealie-api-key"
      }
    }
  }
}
```

## Development

1. Clone the repository and navigate to the project directory

2. Install dependencies using uv:
```bash
uv sync
```

3. Copy the provided template file:
```bash
cp .env.template .env
```

4. Edit the `.env` file with your Mealie instance details:
```bash
MEALIE_BASE_URL=https://your-mealie-instance.com
MEALIE_API_KEY=your-mealie-api-key
```

5. Run MCP inspector
```bash
uv run mcp dev src/server.py
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
pdfmerger-fernandomc 1.0.0
Aplicación GUI para fusionar archivos PDF
Requires Python: >=3.6

# PDF Merger GUI

Una aplicación simple para fusionar archivos PDF con interfaz gráfica.

## Características
- Interfaz gráfica intuitiva
- Arrastra y suelta archivos PDF
- Reordena páginas fácilmente
- Guarda el archivo fusionado donde prefieras

## Instalación

```bash
pip install pdfmerger-fernandomc

Uso
Ejecuta desde la línea de comandos:
pdfmerger   

Autor
Fernando Martinez Castillo

Licencia
Este proyecto está bajo la licencia MIT. Ver LICENSE para más detalles.


### 5. Crear `LICENSE.txt`

```text
MIT License

Copyright (c) 2025 Fernando Martinez Castillo

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.