semvec/pypi-packages huggingface dataset:
yolov5-eval 0.0.1
Wrapper package for yolov5
Requires Python: >=3.7

# `yolov5-eval`

> yolov5 的 npm 包，可以使用这个包结合yolov5的训练权重文件，部署到node环境

## Usage

```js
const yoloEval = require('yolov5-eval');
const path = require('path');

let source = path.resolve(__dirname, './inference/images'),
    weights = [path.resolve(__dirname, './weights/v5-2/last.pt'), path.resolve(__dirname, './weights/v6-1/last.pt')],
    imgsz = 640;

let result = eval(source, weights, imgsz);

console.log(result);

```
noav 22.0.1
Cloud computing fabric controller
Requires Python: >=3.6

==============
OpenStack Nova
==============

.. image:: https://governance.openstack.org/tc/badges/nova.svg
    :target: https://governance.openstack.org/tc/reference/tags/index.html

.. Change things from this point on


OpenStack Nova provides a cloud computing fabric controller, supporting a wide
variety of compute technologies, including: libvirt (KVM, Xen, LXC and more),
Hyper-V, VMware, OpenStack Ironic and PowerVM.

Use the following resources to learn more.

API
---

To learn how to use Nova's API, consult the documentation available online at:

- `Compute API Guide <https://docs.openstack.org/api-guide/compute/>`__
- `Compute API Reference <https://docs.openstack.org/api-ref/compute/>`__

For more information on OpenStack APIs, SDKs and CLIs in general, refer to:

- `OpenStack for App Developers <https://www.openstack.org/appdev/>`__
- `Development resources for OpenStack clouds
  <https://developer.openstack.org/>`__

Operators
---------

To learn how to deploy and configure OpenStack Nova, consult the documentation
available online at:

- `OpenStack Nova <https://docs.openstack.org/nova/>`__

In the unfortunate event that bugs are discovered, they should be reported to
the appropriate bug tracker. If you obtained the software from a 3rd party
operating system vendor, it is often wise to use their own bug tracker for
reporting problems. In all other cases use the master OpenStack bug tracker,
available at:

- `Bug Tracker <https://bugs.launchpad.net/nova>`__

Developers
----------

For information on how to contribute to Nova, please see the contents of the
CONTRIBUTING.rst.

Any new code must follow the development guidelines detailed in the HACKING.rst
file, and pass all unit tests.

Further developer focused documentation is available at:

- `Official Nova Documentation <https://docs.openstack.org/nova/>`__
- `Official Client Documentation
  <https://docs.openstack.org/python-novaclient/>`__

Other Information
-----------------

During each `Summit`_ and `Project Team Gathering`_, we agree on what the whole
community wants to focus on for the upcoming release. The plans for nova can
be found at:

- `Nova Specs <http://specs.openstack.org/openstack/nova-specs/>`__

.. _Summit: https://www.openstack.org/summit/
.. _Project Team Gathering: https://www.openstack.org/ptg/
simplelayout-aoweiie 1.0.0
a simple layout generator project
Keywords: layout

[![Work in Repl.it](https://classroom.github.com/assets/work-in-replit-14baed9a392b3a25080506f3b7b6d57f295ec2978f6f33ec97e36a161684cbe9.svg)](https://classroom.github.com/online_ide?assignment_repo_id=3611573&assignment_repo_type=AssignmentRepo)
# simplelayout-generator

本次作业将实现生成器的数据生成部分，也就是 1-simplelayout-cli 中的主要逻辑部分。同时考察 package、module 的相关知识。

## 要求

- 目录结构为 

```
simplelayout
│  ├─cli
│  │  └─__init__.py
│  │  └─cli_generate.py
│  ├─generator
│  │  └─__init__.py
│  │  └─core.py
│  │  └─utils.py
```

- 符合 PEP 8 代码规范
- 将所需第三方 package 放到 `requirements.txt` 中
- 按照 `TODO `提示完成相应功能点
  1. `/simplelayout/cli/cli_generate.py`
  2. `/simplelayout/cli/__init__.py`
  3. `/simplelayout/generator/core.py`
  4. `/simplelayout/generator/utils.py`
  5. `/simplelayout/__main__.py`
- 通过相应单元测试
- 目标：将`simplelayout`以脚本方式运行，接口参数与作业 `1-simplelayout-CLI` 一致，即

  ```bash
  python -m simplelayout --board_grid 100 --unit_grid 10 --unit_n 3 --positions 1 15 33 --outdir dir1/dir2 --file_name example
  ```

## 参考

- mat 文件存储 [scipy.io.savemat](https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.savemat.html#scipy.io.savemat)
- [`__main__`](https://docs.python.org/3/library/__main__.html)

## 评分标准

|       要点        | 分值  |
| :---------------: | :---: |
|     代码规范      |   1   |
| generate_matrix() |   2   |
|      main()       |   2   |
|   save_matrix()   |   1   |
|    save_fig()     |   1   |
|    make_dir()     |   1   |
|       总分        |   8   |
absolut-import 0.4
A package to automate setting up absolute imports and namespace.
Requires Python: >=3.6

# absolute-import

## About

Package providing a one-line functionality to set up a project for ability to perform absolute imports both after setup and with plain download. Additionally, provides namespaces support.

## Usage

### Absolute import

1. In the root `__init__.py`.

	```python
	from absolute_import import absolute_import

	absolute_import(file=__file__)
	```

1. In the root `__main__.py` or root directly executable python files.

	```python
	from absolute_import import absolute_import

	if __name__ == "__main__":
		absolute_import(file=__file__)
	```

### Absolute import and namespace

1. In the root `__init__.py`.

	```python
	from absolute_import import absolute_import

	absolute_import(file=__file__, name=__name__, path=__path__)
	```

1. In the root `__main__.py` or root directly executable python files.

	```python
	from absolute_import import absolute_import

	if __name__ == "__main__":
		absolute_import(file=__file__, name=__name__, path=__path__)
	```