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README
MulanPSL-2.0

苞米面 Paddle 助手

  • 自己用的百度飞桨 Paddle,PaddleX 项目模板和小工具。My Paddle PaddleX project templates.

适用系统

  • 一些脚本使用 shell 编写,所以目前适用 Linux 和 百度 AI Studio

如何安装

  • 从 gitee 获取源码
git clone git@gitee.com:cnhemiya/bmm-paddle-helper.git
  • 从 github 获取源码
git clone git@github.com:cnhemiya/bmm-paddle-helper.git

程序参数

  • 项目生成器 mkbmmph.py
cd bmm-paddle-helper
python3 tools/mkbmmph.py -h
usage: mkbmmph.py [-h] [--project] [--to_dir]

苞米面 Paddle 项目生成器

optional arguments:
  -h, --help  show this help message and exit
  --project   项目类型,可选:paddlex_cls, paddlex_det, paddlex_seg
  --to_dir    生成的项目模板保存目录,默认 './run'
  • 生成不同的模板
cd bmm-paddle-helper
# PaddleX 图像分类
python3 tools/mkbmmph.py --project paddlex_cls --to_dir ./run
# PaddleX 目标检测
python3 tools/mkbmmph.py --project paddlex_det --to_dir ./run
# PaddleX 图像分割
python3 tools/mkbmmph.py --project paddlex_seg --to_dir ./run
  • Linux 小技巧

可以使用软连接把 mkbmmph.py 连接到 $HOME/.local/bin 目录,方便使用。

使用示例

生成模板

  • 生成 PaddleX 目标检测项目模板
cd bmm-paddle-helper
python3 tools/mkbmmph.py --project paddlex_det --to_dir ./run

模板目录结构

run
├── aislite.ipynb
├── check_data.sh
├── get_data.sh
├── infer.py
├── mod
│   ├── args.py
│   ├── config.py
│   ├── __init__.py
│   ├── pdxconfig.py
│   ├── report.py
│   └── utils.py
├── onekey.sh
├── onetasks.sh
├── paddlex_det_doc.md
├── prune.py
├── quant.py
└── train.py

文件说明

文件 说明
aislite.ipynb Jupyter notebook 适用百度 AI Studio,放到项目根目录,或者根据目录修改
check_data.sh 检查数据
get_data.sh 获取数据
infer.py 预测程序
mod python 模块
onekey.sh 一键获取数据脚本模板,需要按照自己需求,修改路径
onetasks.sh 一键训练,量化脚本模板,需要按照自己需求,修改参数
paddlex_det_doc.md 参数说明
prune.py 裁剪程序
quant.py 量化程序
train.py 训练程序

aislite.ipynb 目录结构示例

├── aislite.ipynb
├── data
└── work
    └── run

训练示例

  • train.py 加 -h 查看参数
python3 run/train.py \
    --dataset ./dataset/road_fighter_car \
    --epochs 32 \
    --batch_size 1 \
    --learning_rate 0.01 \
    --model PicoDet \
    --backbone ESNet_m \
    --pretrain_weights ""

裁剪示例

  • prune.py 加 -h 查看参数
python3 run/prune.py \
    --dataset ./dataset/road_fighter_car \
    --epochs 16 \
    --batch_size 1 \
    --learning_rate 0.001 \
    --model_dir ./output/best_model \
    --save_dir ./output/prune \
    --pruned_flops 0.2

在线量化示例

  • quant.py 加 -h 查看参数
python3 run/quant.py \
    --dataset ./dataset/road_fighter_car \
    --epochs 16 \
    --batch_size 1 \
    --learning_rate 0.001 \
    --model_dir ./output/best_model \
    --save_dir ./output/quant

需要修改什么

aislite.ipynb

  • 放到百度 AI Studio 项目根目录,或者根据目录修改

check_data.sh

  • dataset_dir:需要检查的文件所在的目录
  • data_files:需要检查的文件

onekey.sh

  • app_dir:程序目录,如果不是 run,根据自己的设定修改
  • zip_file:数据压缩包
  • ais_dir:aistudio 数据目录
  • sub_data_dir:解压后的数据目录
  • data_dir:数据目录

onetasks.sh

  • MODEL:模型名称
  • BACKBONE:主干模型
  • DATASET:数据集目录
  • BASE_SAVE_DIR:保存的目录
  • FIXED_INPUT_SHAPE:导出模型的输入大小
  • APP_DIR:程序目录
  • PYTHON_APP:python 程序

transforms

  • 可以自己修改 train.py prune.py quant.py 的 transforms 非必须。

dataset

  • 可以自己修改 train.py prune.py quant.py 的 dataset 非必须。

开源协议

MulanPSL-2.0

项目地址

GITEE    https://gitee.com/cnhemiya/bmm-paddle-helper

GITHUB    https://github.com/cnhemiya/bmm-paddle-helper

AISTUDIO  https://aistudio.baidu.com/aistudio/projectdetail/4260357

木兰宽松许可证, 第2版 木兰宽松许可证, 第2版 2020年1月 http://license.coscl.org.cn/MulanPSL2 您对“软件”的复制、使用、修改及分发受木兰宽松许可证,第2版(“本许可证”)的如下条款的约束: 0. 定义 “软件”是指由“贡献”构成的许可在“本许可证”下的程序和相关文档的集合。 “贡献”是指由任一“贡献者”许可在“本许可证”下的受版权法保护的作品。 “贡献者”是指将受版权法保护的作品许可在“本许可证”下的自然人或“法人实体”。 “法人实体”是指提交贡献的机构及其“关联实体”。 “关联实体”是指,对“本许可证”下的行为方而言,控制、受控制或与其共同受控制的机构,此处的控制是指有受控方或共同受控方至少50%直接或间接的投票权、资金或其他有价证券。 1. 授予版权许可 每个“贡献者”根据“本许可证”授予您永久性的、全球性的、免费的、非独占的、不可撤销的版权许可,您可以复制、使用、修改、分发其“贡献”,不论修改与否。 2. 授予专利许可 每个“贡献者”根据“本许可证”授予您永久性的、全球性的、免费的、非独占的、不可撤销的(根据本条规定撤销除外)专利许可,供您制造、委托制造、使用、许诺销售、销售、进口其“贡献”或以其他方式转移其“贡献”。前述专利许可仅限于“贡献者”现在或将来拥有或控制的其“贡献”本身或其“贡献”与许可“贡献”时的“软件”结合而将必然会侵犯的专利权利要求,不包括对“贡献”的修改或包含“贡献”的其他结合。如果您或您的“关联实体”直接或间接地,就“软件”或其中的“贡献”对任何人发起专利侵权诉讼(包括反诉或交叉诉讼)或其他专利维权行动,指控其侵犯专利权,则“本许可证”授予您对“软件”的专利许可自您提起诉讼或发起维权行动之日终止。 3. 无商标许可 “本许可证”不提供对“贡献者”的商品名称、商标、服务标志或产品名称的商标许可,但您为满足第4条规定的声明义务而必须使用除外。 4. 分发限制 您可以在任何媒介中将“软件”以源程序形式或可执行形式重新分发,不论修改与否,但您必须向接收者提供“本许可证”的副本,并保留“软件”中的版权、商标、专利及免责声明。 5. 免责声明与责任限制 “软件”及其中的“贡献”在提供时不带任何明示或默示的担保。在任何情况下,“贡献者”或版权所有者不对任何人因使用“软件”或其中的“贡献”而引发的任何直接或间接损失承担责任,不论因何种原因导致或者基于何种法律理论,即使其曾被建议有此种损失的可能性。 6. 语言 “本许可证”以中英文双语表述,中英文版本具有同等法律效力。如果中英文版本存在任何冲突不一致,以中文版为准。 条款结束 如何将木兰宽松许可证,第2版,应用到您的软件 如果您希望将木兰宽松许可证,第2版,应用到您的新软件,为了方便接收者查阅,建议您完成如下三步: 1, 请您补充如下声明中的空白,包括软件名、软件的首次发表年份以及您作为版权人的名字; 2, 请您在软件包的一级目录下创建以“LICENSE”为名的文件,将整个许可证文本放入该文件中; 3, 请将如下声明文本放入每个源文件的头部注释中。 Copyright (c) [Year] [name of copyright holder] [Software Name] is licensed under Mulan PSL v2. You can use this software according to the terms and conditions of the Mulan PSL v2. You may obtain a copy of Mulan PSL v2 at: http://license.coscl.org.cn/MulanPSL2 THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE. See the Mulan PSL v2 for more details. Mulan Permissive Software License,Version 2 Mulan Permissive Software License,Version 2 (Mulan PSL v2) January 2020 http://license.coscl.org.cn/MulanPSL2 Your reproduction, use, modification and distribution of the Software shall be subject to Mulan PSL v2 (this License) with the following terms and conditions: 0. Definition Software means the program and related documents which are licensed under this License and comprise all Contribution(s). Contribution means the copyrightable work licensed by a particular Contributor under this License. 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简介

自己用的百度飞桨 Paddle,PaddleX 项目模板和小工具.My Paddle PaddleX project templates. 展开 收起
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