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【天科飞桨团实战项目】基于Yolov5的手势识别-baseline_飞桨 pytorch yolo

作者：知新_RL | 2024-04-06 11:08:20

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飞桨 pytorch yolo

★★★ 本文源自AlStudio社区精品项目，【点击此处】查看更多精品内容 >>>
作者介绍 ：

  • 作者为一名在校大二生，人工智能专业
  • 学习方向：深度学习和计算机视觉
  • 项目经历：基于Yolov5和百度AI的车牌识别系统、基于CNN的乳腺癌细胞分类、基于PaddlePaddle的新冠肺炎智能诊断系统等
  • 技术栈：Opencv、Pytorch、PaddlePaddle等
  • 百度飞桨领航团成员，阿里云开发者社区博客专家，csdn人工智能领域新星创作者 万粉博主

作者csdn个人主页链接：https://blog.csdn.net/weixin_63866037?spm=1010.2135.3001.5343

目前担任天津科技大学百度飞桨领航团主要负责人和策划者，珍惜与大家在百度飞桨的每一次相遇！

项目背景介绍

智能驾舱系统可显著提升汽车用户体验感，已成为汽车行业发展的重点之一。手势识别作为一种重要的人机交互方式，在智能驾舱中得到了广泛的应用。一般来说，手势识别常采用接触式和非接触式两种检测方法。基于传感器的接触式手势检测，因在智能驾舱等应用场景条件有限的情况下，难以实现以最小的驾舱成本达到同样基于计算机视觉的手势检测效果，而且会给用户带来不舒适的驾驶体验，甚至增加驾驶风险。因此在智能驾舱系统设计中采取基于计算机视觉的非接触式手势识别方法，实现人机交互更符合应用场景。

项目识别效果如下：


B站视频演示视频地址：【基于YOLOv5的手势识别—百度飞桨领航团-哔哩哔哩】 https://b23.tv/dCmAjgT

数据集介绍

数据集包含1400张图片，一起其对应的txt文件。不同的手势分别代表着[A、number 7、D、I、L、V、W、Y、I love you、number 5]，文件组织结构为：

|–数据集
||–images
    |||–test
         –Img图片
    |||–train
         –Img图片
    |||–val
         –Img图片

||–labels
    |||–test
        	-txt标签
    |||–train
		    -txt标签
    |||–val
         -txt标签

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baseline正式开始！

注：每一次重新启动项目之后，环境都会还原，但是创建的文件依然会存在。所以在fork项目的时候，依赖包需要重新安装，数据集以及文件不需要再下载，下面会给出标注！

一、准备工作

解压数据集

数据集在创建项目时就挂在项目上，格式为zip文件，直接解压就可以了！

# 解压数据集
!unzip /home/aistudio/data/data206509/hand_gesture_dataset.zip

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安装Yolov5依赖

# 每次打开新环境，都要运行！
#安装Yolov5的依赖
!pip install gputil==1.4.0
!pip install pycocotools

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Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting gputil==1.4.0
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ed/0e/5c61eedde9f6c87713e89d794f01e378cfd9565847d4576fa627d758c554/GPUtil-1.4.0.tar.gz (5.5 kB)
  Preparing metadata (setup.py) ... [?25ldone
[?25hBuilding wheels for collected packages: gputil
  Building wheel for gputil (setup.py) ... [?25ldone
[?25h  Created wheel for gputil: filename=GPUtil-1.4.0-py3-none-any.whl size=7393 sha256=114ee0098384f3e006a8359db8ea76a27495ae020e2007c095bd31a44c70e863
  Stored in directory: /home/aistudio/.cache/pip/wheels/8c/49/cb/e4c32bdc101f068f9f0201d1c99f4141a1faeb73b639029b7c
Successfully built gputil
Installing collected packages: gputil
Successfully installed gputil-1.4.0

[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m A new release of pip available: [0m[31;49m22.1.2[0m[39;49m -> [0m[32;49m23.0.1[0m
[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m To update, run: [0m[32;49mpip install --upgrade pip[0m
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting pycocotools
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ef/c6/90220be3b39fbc4cbd203775ca47dd8dc97fae06fbd2b500637395621b7c/pycocotools-2.0.6.tar.gz (24 kB)
  Installing build dependencies ... [?25ldone
[?25h  Getting requirements to build wheel ... [?25ldone
[?25h  Preparing metadata (pyproject.toml) ... [?25ldone
[?25hRequirement already satisfied: numpy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pycocotools) (1.20.3)
Requirement already satisfied: matplotlib>=2.1.0 in ./.data/webide/pip/lib/python3.7/site-packages (from pycocotools) (3.5.3)
Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (21.3)
Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (0.10.0)
Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (2.8.2)
Requirement already satisfied: fonttools>=4.22.0 in ./.data/webide/pip/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (4.38.0)
Requirement already satisfied: pillow>=6.2.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (8.2.0)
Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (1.1.0)
Requirement already satisfied: pyparsing>=2.2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (3.0.9)
Requirement already satisfied: six in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from cycler>=0.10->matplotlib>=2.1.0->pycocotools) (1.16.0)
Requirement already satisfied: setuptools in ./.data/webide/pip/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib>=2.1.0->pycocotools) (67.6.1)
Building wheels for collected packages: pycocotools
  Building wheel for pycocotools (pyproject.toml) ... [?25ldone
[?25h  Created wheel for pycocotools: filename=pycocotools-2.0.6-cp37-cp37m-linux_x86_64.whl size=275207 sha256=453777a75de50ab0cfe1e1b5ffeb5df22b2bfaf85a21fa23e4e14bbc2a5fcde1
  Stored in directory: /home/aistudio/.cache/pip/wheels/f8/94/70/046149e666bd5812b7de6b87a28dcef238f7162f4108e0b3d8
Successfully built pycocotools
Installing collected packages: pycocotools
Successfully installed pycocotools-2.0.6

[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m A new release of pip available: [0m[31;49m22.1.2[0m[39;49m -> [0m[32;49m23.0.1[0m
[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m To update, run: [0m[32;49mpip install --upgrade pip[0m

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下载Yolov5-Paddle

# 首先切换到主目录
%cd /home/aistudio/
# 考虑到大多数同学不会使用github，这里已经下载成.zip文件，解压即可
!unzip /home/aistudio/YOLOv5-Paddle.zip
# 左侧已经有该文件了，不需要再运行了，否则会把YOLOv5-Paddle里面训练好的模型给替换掉

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/home/aistudio
Archive:  /home/aistudio/YOLOv5-Paddle.zip
replace YOLOv5-Paddle/detect.py? [y]es, [n]o, [A]ll, [N]one, [r]ename: ^C

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添加模型配置

在/home/aistudio/YOLOv5-Paddle中新建一个hand_gesture.yaml文件，可以新建一个txt文件，再更改后缀，在文件中输入一下内容

# 训练集和测试集的路径，注意使用 /
train: /home/aistudio/hand_gesture_dataset/images/train 
val: /home/aistudio/hand_gesture_dataset/images/val

# number of classes
nc: 10
# class names
names: ["A","number 7","D","I","L","V","W","Y","I love you","number 5"]

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二、模型训练/开始炼丹

# 将必要字体移植配置中，防止再次连接github
!cp /home/aistudio/Arial.ttf /home/aistudio/.config/QuanhaoGuo/

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# 切换文件夹
%cd /home/aistudio/YOLOv5-Paddle/
# 一键开始训练
!python train.py\
       --data /home/aistudio/YOLOv5-Paddle/data/hand_gesture.yaml\
       --weights /home/aistudio/YOLOv5-Paddle/weights/yolov5s.pdparams\
       --img 640\
       --epochs 100\
       --cfg yolov5s.yaml

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/home/aistudio/YOLOv5-Paddle
/home/aistudio/.data/webide/pip/lib/python3.7/site-packages/pkg_resources/__init__.py:121: DeprecationWarning: pkg_resources is deprecated as an API
  warnings.warn("pkg_resources is deprecated as an API", DeprecationWarning)
/home/aistudio/.data/webide/pip/lib/python3.7/site-packages/pkg_resources/__init__.py:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('mpl_toolkits')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
  declare_namespace(pkg)
/home/aistudio/.data/webide/pip/lib/python3.7/site-packages/pkg_resources/__init__.py:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
  declare_namespace(pkg)
/home/aistudio/.data/webide/pip/lib/python3.7/site-packages/pkg_resources/__init__.py:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('ruamel')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
  declare_namespace(pkg)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  _nlv = LooseVersion(_np_version)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  _np_version_under1p16 = _nlv < LooseVersion("1.16")
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  _np_version_under1p17 = _nlv < LooseVersion("1.17")
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  _np_version_under1p18 = _nlv < LooseVersion("1.18")
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  _np_version_under1p19 = _nlv < LooseVersion("1.19")
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  _np_version_under1p20 = _nlv < LooseVersion("1.20")
/home/aistudio/.data/webide/pip/lib/python3.7/site-packages/setuptools/_distutils/version.py:345: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  other = LooseVersion(other)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  if LooseVersion(_np_version) >= LooseVersion("1.17.0"):
[34m[1mtrain: [0mweights=/home/aistudio/YOLOv5-Paddle/weights/yolov5s.pdparams, cfg=yolov5s.yaml, data=/home/aistudio/YOLOv5-Paddle/data/hand_gesture.yaml, hyp=data/hyps/hyp.scratch.yaml, epochs=50, batch_size=16, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, adam=False, sync_bn=False, workers=8, project=runs/train, name=exp, exist_ok=False, quad=False, linear_lr=False, label_smoothing=0.0, patience=100, freeze=0, save_period=-1, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest
[34m[1mgithub: [0mskipping check (not a git repository), for updates see https://github.com/ultralytics/yolov5
YOLOv5 
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