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背景介绍

基于飞桨的智慧渔业捕捞计数装置🎣

【项目介绍】

详细项目介绍请见：https://aistudio.baidu.com/aistudio/projectdetail/4323859

   🐠🐠🐠🐠🐠🐠🐠🐠🐠🐠🐠🐠🐠🐠🐠🐠🐠
   🐡🐡🐡🐡🐡🐡🐡🐡🐡🐡🐡🐡🐡🐡🐡🐡🐡
   🐟🐟🐟🐟🐟🐟🐟🐟🐟🐟🐟🐟🐟🐟🐟🐟🐟
    
该装置主要用于对水中游动的鱼进行：
   
   😲 1.目标检测、识别
   
   😊 2.目标跟踪.....

【说明文档】

说明文档可见：work/FishTracking/README.md

【使用框架】PaddleDetection

【使用方法】Yolov5或PP-Yoloe等目标跟踪算法，本文使用PP-Yoloe

   【简介】
   
    PP-Yoloe是基于PP-Yolov2的高精度推理速度快的单阶段Anchor-free检测模型，超越了多种流行的Yolo模型。
    
    包含骨干网络： CSPRepResNet、特征融合 CSPPAN、轻量级 ET-Head 和改进的动态匹配算法 TAL（Task Alignment Learning）等模块。根据不同的应用场景设计了一系列模型，即 s/m/l/x。
    
    PP-Yoloe中主要的改进点是：anchor-free，powerful backbone and neck，TAL动态label assign，ET-head。

   【论文】详细代码及简介见论文：
   
    Github   https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.4/configs/ppyoloe
    
    Paper    https://arxiv.org/abs/2203.16250
    
    根据PaddleDetection的云端模型性能对比，各模型结构和骨干网络的代表模型在COCO数据集上精度mAP和单卡Tesla V100上预测速度(FPS)对比图如下：

【数据集】

数据集包含两个版本,使用Darklabel进行标注，标记为VOC格式：

    1️⃣ 实验室版本用到的是在水箱下游动的鱼；
    
    2️⃣ 实地部署用到的是重庆市长寿湖水底游动的鱼，如花鲢等。
    
data目录下，一个是水下鱼类标记图片，一个是水下鱼类视频。以下展示实验室版本：

FishDataset

🐠数据集路径：/home/aistudio/work/FishTracking/dataset/FishDataset

FishDataset数据集目录结构	train.txt文件

开始训练

一、准备工作

# 1.拉取代码：本项目请使用选项(2)
# (1)从github上下载PaddleDetection
# %cd /home/aistudio/
# !git clone https://github.com/PaddlePaddle/PaddleDetection.git -b develop

/home/aistudio
Cloning into 'PaddleDetection'...
remote: Enumerating objects: 255764, done.[K
remote: Counting objects: 100% (244/244), done.[K
remote: Compressing objects: 100% (177/177), done.[K
remote: Total 255764 (delta 121), reused 136 (delta 67), pack-reused 255520[K
Receiving objects: 100% (255764/255764), 414.73 MiB | 5.57 MiB/s, done.
Resolving deltas: 100% (208691/208691), done.
Checking connectivity... done.

【Tips】

  !tar  -czvf  work.tar.gz  work
  
  为了生成版本，这里我直接打包了work，可以直接解压work:

  !tar  -zxvf  work.tar.gz
  
  注意路径写对！

# (2)这里，直接使用我们编译好的FishTracking
# 解压文件
%cd /home/aistudio/work/
!unzip FishTracking.zip

/home/aistudio/work

# 2.将data下的两个文件移动至对应文件夹下
# (1)训练数据集
%cd /home/aistudio/work/FishTracking/dataset/
!cp /home/aistudio/data/data166753/FishDataset.zip -r ~/work/FishTracking/dataset/
!unzip FishDataset.zip

/home/aistudio/work/FishTracking/dataset
Archive:  FishDataset.zip
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# (2)待预测的视频
%cd ~/work/FishTracking/assets
!cp /home/aistudio/data/data198537/fishdet.mp4 -r ~/work/FishTracking/assets

/home/aistudio/work/FishTracking/assets

# 3.环境配置
!pip install --upgrade pip
!pip install setuptools

# 部分包安装不成功，需要手动安装
!pip install ujson==3.0.0
!pip install pyzmq==18.1.1

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: pip in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (23.0.1)
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: setuptools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (56.2.0)
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting ujson==3.0.0
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/82/f2/12ca7bfd7879f8ed1b53104f2a6751a7722d63b12951c91c61ff433e5170/ujson-3.0.0-cp37-cp37m-manylinux1_x86_64.whl (176 kB)
Installing collected packages: ujson
  Attempting uninstall: ujson
    Found existing installation: ujson 1.35
    Uninstalling ujson-1.35:
      Successfully uninstalled ujson-1.35
[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
python-language-server 0.33.0 requires ujson<=1.35; platform_system != "Windows", but you have ujson 3.0.0 which is incompatible.
python-jsonrpc-server 0.3.4 requires ujson<=1.35; platform_system != "Windows", but you have ujson 3.0.0 which is incompatible.[0m[31m
[0mSuccessfully installed ujson-3.0.0
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting pyzmq==18.1.1
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/bf/dd/547bee2080beefe6546c332422cb0f189b3cd71cfff048146cd9ac3751cc/pyzmq-18.1.1-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB)
Installing collected packages: pyzmq
  Attempting uninstall: pyzmq
    Found existing installation: pyzmq 23.0.0
    Uninstalling pyzmq-23.0.0:
      Successfully uninstalled pyzmq-23.0.0
[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
jupyter-client 7.3.5 requires pyzmq>=23.0, but you have pyzmq 18.1.1 which is incompatible.[0m[31m
[0mSuccessfully installed pyzmq-18.1.1

!pip install pillow>=8.2.0

# 安装相关依赖
%cd /home/aistudio/work/FishTracking/
!pip install --user -r requirements.txt

/home/aistudio/work/FishTracking
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: numpy<1.24 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (1.20.3)
Requirement already satisfied: tqdm in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (4.64.1)
Collecting typeguard
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/9a/bb/d43e5c75054e53efce310e79d63df0ac3f25e34c926be5dffb7d283fb2a8/typeguard-2.13.3-py3-none-any.whl (17 kB)
Requirement already satisfied: visualdl>=2.2.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (2.2.0)
Collecting opencv-python<=4.6.0
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/67/50/665a503167396ad347957bea0bd8d5c08c865030b2d1565ff06eba613780/opencv_python-4.5.5.64-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (60.5 MB)
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[?25hRequirement already satisfied: PyYAML in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (5.1.2)
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Requirement already satisfied: terminaltables in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (3.1.10)
Requirement already satisfied: Cython in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (0.29)
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: setuptools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r requirements.txt (line 14)) (56.2.0)
Collecting lap
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/bf/64/d9fb6a75b15e783952b2fec6970f033462e67db32dc43dfbb404c14e91c2/lap-0.4.0.tar.gz (1.5 MB)
[2K     [90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━[0m [32m1.5/1.5 MB[0m [31m2.9 MB/s[0m eta [36m0:00:00[0ma [36m0:00:01[0m
[?25h  Preparing metadata (setup.py) ... [?25ldone
[?25hCollecting motmetrics
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/2f/d9/7b77e1e2db80b6f8133065ffbccdaa3c911df5f95a7af30829fcaa10a3d7/motmetrics-1.4.0-py3-none-any.whl (161 kB)
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[?25hRequirement already satisfied: sklearn==0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r requirements.txt (line 20)) (0.0)
Collecting pyclipper
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/21/b9/f8bd7bb8b04906ac2f93518ae22040c99db9dfc9faf2a29d444c6469b6a3/pyclipper-1.3.0.post4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (604 kB)
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Requirement already satisfied: Pillow>=7.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.0->-r requirements.txt (line 6)) (8.2.0)
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Requirement already satisfied: pandas in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.2.0->-r requirements.txt (line 6)) (1.1.5)
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Collecting xmltodict>=0.12.0
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/94/db/fd0326e331726f07ff7f40675cd86aa804bfd2e5016c727fa761c934990e/xmltodict-0.13.0-py2.py3-none-any.whl (10.0 kB)
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Requirement already satisfied: Werkzeug>=0.15 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.0->-r requirements.txt (line 6)) (0.16.0)
Requirement already satisfied: click>=5.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.0->-r requirements.txt (line 6)) (8.0.4)
Requirement already satisfied: Jinja2>=2.10.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.2.0->-r requirements.txt (line 6)) (3.0.0)
Requirement already satisfied: Babel>=2.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl>=2.2.0->-r requirements.txt (line 6)) (2.8.0)
Requirement already satisfied: pytz in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl>=2.2.0->-r requirements.txt (line 6)) (2019.3)
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Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->visualdl>=2.2.0->-r requirements.txt (line 6)) (0.10.0)
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Requirement already satisfied: pycryptodome>=3.8.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl>=2.2.0->-r requirements.txt (line 6)) (3.9.9)
Requirement already satisfied: future>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl>=2.2.0->-r requirements.txt (line 6)) (0.18.0)
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Building wheels for collected packages: pycocotools, lap
  Building wheel for pycocotools (pyproject.toml) ... [?25ldone
[?25h  Created wheel for pycocotools: filename=pycocotools-2.0.6-cp37-cp37m-linux_x86_64.whl size=275104 sha256=bb2a8db7b875c4d874d6412a0edb39dc111443b4694b4ee053301c70ba607c01
  Stored in directory: /home/aistudio/.cache/pip/wheels/f8/94/70/046149e666bd5812b7de6b87a28dcef238f7162f4108e0b3d8
  Building wheel for lap (setup.py) ... [?25ldone
[?25h  Created wheel for lap: filename=lap-0.4.0-cp37-cp37m-linux_x86_64.whl size=1593888 sha256=fe41a7ee132c664a376afaa92327748cd6bebd5a317d6465d46e4e5d4c35433d
  Stored in directory: /home/aistudio/.cache/pip/wheels/5c/d0/d2/e331d17a999666b1e2eb99743cfa1742629f9d26c55c657001
Successfully built pycocotools lap
Installing collected packages: pyclipper, lap, xmltodict, typeguard, opencv-python, pycocotools, motmetrics
Successfully installed lap-0.4.0 motmetrics-1.4.0 opencv-python-4.5.5.64 pyclipper-1.3.0.post4 pycocotools-2.0.6 typeguard-2.13.3 xmltodict-0.13.0

# 4.编译安装paddledet
%cd /home/aistudio/work/FishTracking/
#!pip install --upgrade setuptools
!python setup.py build
!python setup.py install

/home/aistudio/work/FishTracking
fatal: Not a git repository (or any parent up to mount point /home/aistudio)
Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set).
running build
running build_py
copying ppdet/version.py -> build/lib/ppdet
copying ppdet/model_zoo/MODEL_ZOO -> build/lib/ppdet/model_zoo
fatal: Not a git repository (or any parent up to mount point /home/aistudio)
Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set).
running install
running bdist_egg
running egg_info
writing paddledet.egg-info/PKG-INFO
writing dependency_links to paddledet.egg-info/dependency_links.txt
writing requirements to paddledet.egg-info/requires.txt
writing top-level names to paddledet.egg-info/top_level.txt
adding license file 'LICENSE' (matched pattern 'LICEN[CS]E*')
reading manifest file 'paddledet.egg-info/SOURCES.txt'
writing manifest file 'paddledet.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
creating build/bdist.linux-x86_64/egg
creating build/bdist.linux-x86_64/egg/deepsort
copying build/lib/deepsort/__init__.py -> build/bdist.linux-x86_64/egg/deepsort
copying build/lib/deepsort/deep_sort.py -> build/bdist.linux-x86_64/egg/deepsort
creating build/bdist.linux-x86_64/egg/deepsort/sort
copying build/lib/deepsort/sort/kalman_filter.py -> build/bdist.linux-x86_64/egg/deepsort/sort
copying build/lib/deepsort/sort/preprocessing.py -> build/bdist.linux-x86_64/egg/deepsort/sort
copying build/lib/deepsort/sort/detection.py -> build/bdist.linux-x86_64/egg/deepsort/sort
copying build/lib/deepsort/sort/track.py -> build/bdist.linux-x86_64/egg/deepsort/sort
copying build/lib/deepsort/sort/nn_matching.py -> build/bdist.linux-x86_64/egg/deepsort/sort
copying build/lib/deepsort/sort/linear_assignment.py -> build/bdist.linux-x86_64/egg/deepsort/sort
copying build/lib/deepsort/sort/iou_matching.py -> build/bdist.linux-x86_64/egg/deepsort/sort
copying build/lib/deepsort/sort/__init__.py -> build/bdist.linux-x86_64/egg/deepsort/sort
copying build/lib/deepsort/sort/tracker.py -> build/bdist.linux-x86_64/egg/deepsort/sort
creating build/bdist.linux-x86_64/egg/ppdet
creating build/bdist.linux-x86_64/egg/ppdet/core
copying build/lib/ppdet/core/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/core
creating build/bdist.linux-x86_64/egg/ppdet/core/config
copying build/lib/ppdet/core/config/schema.py -> build/bdist.linux-x86_64/egg/ppdet/core/config
copying build/lib/ppdet/core/config/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/core/config
copying build/lib/ppdet/core/config/yaml_helpers.py -> build/bdist.linux-x86_64/egg/ppdet/core/config
copying build/lib/ppdet/core/workspace.py -> build/bdist.linux-x86_64/egg/ppdet/core
creating build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/visualizer.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/download.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/voc_utils.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/fuse_utils.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/stats.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/colormap.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/logger.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/check.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/checkpoint.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/cam_utils.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/cli.py -> build/bdist.linux-x86_64/egg/ppdet/utils
copying build/lib/ppdet/utils/profiler.py -> build/bdist.linux-x86_64/egg/ppdet/utils
creating build/bdist.linux-x86_64/egg/ppdet/engine
copying build/lib/ppdet/engine/trainer_cot.py -> build/bdist.linux-x86_64/egg/ppdet/engine
copying build/lib/ppdet/engine/export_utils.py -> build/bdist.linux-x86_64/egg/ppdet/engine
copying build/lib/ppdet/engine/trainer_ssod.py -> build/bdist.linux-x86_64/egg/ppdet/engine
copying build/lib/ppdet/engine/env.py -> build/bdist.linux-x86_64/egg/ppdet/engine
copying build/lib/ppdet/engine/tracker.py -> build/bdist.linux-x86_64/egg/ppdet/engine
copying build/lib/ppdet/engine/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/engine
copying build/lib/ppdet/engine/callbacks.py -> build/bdist.linux-x86_64/egg/ppdet/engine
copying build/lib/ppdet/engine/trainer.py -> build/bdist.linux-x86_64/egg/ppdet/engine
creating build/bdist.linux-x86_64/egg/ppdet/model_zoo
copying build/lib/ppdet/model_zoo/MODEL_ZOO -> build/bdist.linux-x86_64/egg/ppdet/model_zoo
copying build/lib/ppdet/model_zoo/model_zoo.py -> build/bdist.linux-x86_64/egg/ppdet/model_zoo
copying build/lib/ppdet/model_zoo/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/model_zoo
creating build/bdist.linux-x86_64/egg/ppdet/model_zoo/tests
copying build/lib/ppdet/model_zoo/tests/test_get_model.py -> build/bdist.linux-x86_64/egg/ppdet/model_zoo/tests
copying build/lib/ppdet/model_zoo/tests/test_list_model.py -> build/bdist.linux-x86_64/egg/ppdet/model_zoo/tests
copying build/lib/ppdet/model_zoo/tests/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/model_zoo/tests
copying build/lib/ppdet/__init__.py -> build/bdist.linux-x86_64/egg/ppdet
copying build/lib/ppdet/version.py -> build/bdist.linux-x86_64/egg/ppdet
creating build/bdist.linux-x86_64/egg/ppdet/data
copying build/lib/ppdet/data/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/data
copying build/lib/ppdet/data/reader.py -> build/bdist.linux-x86_64/egg/ppdet/data
copying build/lib/ppdet/data/shm_utils.py -> build/bdist.linux-x86_64/egg/ppdet/data
creating build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/source/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/source/widerface.py -> build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/source/voc.py -> build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/source/mot.py -> build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/source/dataset.py -> build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/source/pose3d_cmb.py -> build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/source/coco.py -> build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/source/sniper_coco.py -> build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/source/category.py -> build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/source/keypoint_coco.py -> build/bdist.linux-x86_64/egg/ppdet/data/source
copying build/lib/ppdet/data/utils.py -> build/bdist.linux-x86_64/egg/ppdet/data
creating build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/gridmask_utils.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/autoaugment_utils.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/rotated_operators.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/op_helper.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/keypoint_operators.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/atss_assigner.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/keypoints_3d_operators.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/operators.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/batch_operators.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
copying build/lib/ppdet/data/transform/mot_operators.py -> build/bdist.linux-x86_64/egg/ppdet/data/transform
creating build/bdist.linux-x86_64/egg/ppdet/data/crop_utils
copying build/lib/ppdet/data/crop_utils/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/data/crop_utils
copying build/lib/ppdet/data/crop_utils/chip_box_utils.py -> build/bdist.linux-x86_64/egg/ppdet/data/crop_utils
copying build/lib/ppdet/data/crop_utils/annotation_cropper.py -> build/bdist.linux-x86_64/egg/ppdet/data/crop_utils
creating build/bdist.linux-x86_64/egg/ppdet/modeling
creating build/bdist.linux-x86_64/egg/ppdet/modeling/backbones
copying build/lib/ppdet/modeling/backbones/dla.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/backbones
copying build/lib/ppdet/modeling/backbones/hardnet.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/backbones
copying build/lib/ppdet/modeling/backbones/mobilenet_v3.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/backbones
copying build/lib/ppdet/modeling/backbones/name_adapter.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/backbones
copying build/lib/ppdet/modeling/backbones/resnet.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/backbones
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copying build/lib/ppdet/modeling/reid/resnet.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/reid
copying build/lib/ppdet/modeling/reid/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/reid
copying build/lib/ppdet/modeling/reid/pplcnet_embedding.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/reid
copying build/lib/ppdet/modeling/reid/fairmot_embedding_head.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/reid
copying build/lib/ppdet/modeling/reid/resnet_embedding.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/reid
copying build/lib/ppdet/modeling/reid/pyramidal_embedding.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/reid
copying build/lib/ppdet/modeling/reid/jde_embedding_head.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/reid
creating build/bdist.linux-x86_64/egg/ppdet/modeling/transformers
copying build/lib/ppdet/modeling/transformers/petr_transformer.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/transformers
copying build/lib/ppdet/modeling/transformers/detr_transformer.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/transformers
copying build/lib/ppdet/modeling/transformers/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/transformers
copying build/lib/ppdet/modeling/transformers/position_encoding.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/transformers
copying build/lib/ppdet/modeling/transformers/dino_transformer.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/transformers
copying build/lib/ppdet/modeling/transformers/matchers.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/transformers
copying build/lib/ppdet/modeling/transformers/deformable_transformer.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/transformers
copying build/lib/ppdet/modeling/transformers/utils.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/transformers
creating build/bdist.linux-x86_64/egg/ppdet/modeling/tests
copying build/lib/ppdet/modeling/tests/test_base.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/tests
copying build/lib/ppdet/modeling/tests/test_yolov3_loss.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/tests
copying build/lib/ppdet/modeling/tests/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/tests
copying build/lib/ppdet/modeling/tests/test_ops.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/tests
copying build/lib/ppdet/modeling/tests/test_mstest.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/tests
copying build/lib/ppdet/modeling/tests/test_architectures.py -> build/bdist.linux-x86_64/egg/ppdet/modeling/tests
copying build/lib/ppdet/modeling/post_process.py -> build/bdist.linux-x86_64/egg/ppdet/modeling
copying build/lib/ppdet/modeling/keypoint_utils.py -> build/bdist.linux-x86_64/egg/ppdet/modeling
creating build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/widerface_utils.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/pose3d_metrics.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/coco_utils.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/mot_metrics.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/keypoint_metrics.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/json_results.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/metrics.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/mcmot_metrics.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/map_utils.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
copying build/lib/ppdet/metrics/munkres.py -> build/bdist.linux-x86_64/egg/ppdet/metrics
creating build/bdist.linux-x86_64/egg/ppdet/slim
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copying build/lib/ppdet/slim/distill_model.py -> build/bdist.linux-x86_64/egg/ppdet/slim
copying build/lib/ppdet/slim/ofa.py -> build/bdist.linux-x86_64/egg/ppdet/slim
copying build/lib/ppdet/slim/quant.py -> build/bdist.linux-x86_64/egg/ppdet/slim
copying build/lib/ppdet/slim/__init__.py -> build/bdist.linux-x86_64/egg/ppdet/slim
copying build/lib/ppdet/slim/unstructured_prune.py -> build/bdist.linux-x86_64/egg/ppdet/slim
copying build/lib/ppdet/slim/prune.py -> build/bdist.linux-x86_64/egg/ppdet/slim
creating build/bdist.linux-x86_64/egg/ppdet/optimizer
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copying build/lib/ppdet/optimizer/ema.py -> build/bdist.linux-x86_64/egg/ppdet/optimizer
copying build/lib/ppdet/optimizer/optimizer.py -> build/bdist.linux-x86_64/egg/ppdet/optimizer
copying build/lib/ppdet/optimizer/adamw.py -> build/bdist.linux-x86_64/egg/ppdet/optimizer
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ppdet.data.transform.__pycache__.autoaugment_utils.cpython-37: module MAY be using inspect.stack
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Best match: lap 0.4.0
Adding lap 0.4.0 to easy-install.pth file

Using /home/aistudio/.data/webide/pip/lib/python3.7/site-packages
Searching for setuptools==56.2.0
Best match: setuptools 56.2.0
Adding setuptools 56.2.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for pycocotools==2.0.6
Best match: pycocotools 2.0.6
Adding pycocotools 2.0.6 to easy-install.pth file

Using /home/aistudio/.data/webide/pip/lib/python3.7/site-packages
Searching for Cython==0.29
Best match: Cython 0.29
Adding Cython 0.29 to easy-install.pth file
Installing cygdb script to /opt/conda/envs/python35-paddle120-env/bin
Installing cython script to /opt/conda/envs/python35-paddle120-env/bin
Installing cythonize script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for terminaltables==3.1.10
Best match: terminaltables 3.1.10
Adding terminaltables 3.1.10 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for scipy==1.6.3
Best match: scipy 1.6.3
Adding scipy 1.6.3 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for shapely==2.0.0
Best match: shapely 2.0.0
Adding shapely 2.0.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for PyYAML==5.1.2
Best match: PyYAML 5.1.2
Adding PyYAML 5.1.2 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for opencv-python==4.5.5.64
Best match: opencv-python 4.5.5.64
Adding opencv-python 4.5.5.64 to easy-install.pth file

Using /home/aistudio/.data/webide/pip/lib/python3.7/site-packages
Searching for visualdl==2.2.0
Best match: visualdl 2.2.0
Adding visualdl 2.2.0 to easy-install.pth file
Installing visualdl script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for typeguard==2.13.3
Best match: typeguard 2.13.3
Adding typeguard 2.13.3 to easy-install.pth file

Using /home/aistudio/.data/webide/pip/lib/python3.7/site-packages
Searching for tqdm==4.64.1
Best match: tqdm 4.64.1
Adding tqdm 4.64.1 to easy-install.pth file
Installing tqdm script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for numpy==1.20.3
Best match: numpy 1.20.3
Adding numpy 1.20.3 to easy-install.pth file
Installing f2py script to /opt/conda/envs/python35-paddle120-env/bin
Installing f2py3 script to /opt/conda/envs/python35-paddle120-env/bin
Installing f2py3.7 script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for scikit-learn==0.24.2
Best match: scikit-learn 0.24.2
Adding scikit-learn 0.24.2 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for pandas==1.1.5
Best match: pandas 1.1.5
Adding pandas 1.1.5 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for xmltodict==0.13.0
Best match: xmltodict 0.13.0
Adding xmltodict 0.13.0 to easy-install.pth file

Using /home/aistudio/.data/webide/pip/lib/python3.7/site-packages
Searching for matplotlib==2.2.3
Best match: matplotlib 2.2.3
Adding matplotlib 2.2.3 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for flake8==4.0.1
Best match: flake8 4.0.1
Adding flake8 4.0.1 to easy-install.pth file
Installing flake8 script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for requests==2.22.0
Best match: requests 2.22.0
Adding requests 2.22.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for Flask==1.1.1
Best match: Flask 1.1.1
Adding Flask 1.1.1 to easy-install.pth file
Installing flask script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for pre-commit==1.21.0
Best match: pre-commit 1.21.0
Adding pre-commit 1.21.0 to easy-install.pth file
Installing pre-commit script to /opt/conda/envs/python35-paddle120-env/bin
Installing pre-commit-validate-config script to /opt/conda/envs/python35-paddle120-env/bin
Installing pre-commit-validate-manifest script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for shellcheck-py==0.7.1.1
Best match: shellcheck-py 0.7.1.1
Adding shellcheck-py 0.7.1.1 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for Flask-Babel==1.0.0
Best match: Flask-Babel 1.0.0
Adding Flask-Babel 1.0.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for bce-python-sdk==0.8.53
Best match: bce-python-sdk 0.8.53
Adding bce-python-sdk 0.8.53 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for six==1.16.0
Best match: six 1.16.0
Adding six 1.16.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for protobuf==3.20.1
Best match: protobuf 3.20.1
Adding protobuf 3.20.1 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for Pillow==8.2.0
Best match: Pillow 8.2.0
Adding Pillow 8.2.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for joblib==0.14.1
Best match: joblib 0.14.1
Adding joblib 0.14.1 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for threadpoolctl==2.1.0
Best match: threadpoolctl 2.1.0
Adding threadpoolctl 2.1.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for python-dateutil==2.8.2
Best match: python-dateutil 2.8.2
Adding python-dateutil 2.8.2 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for pytz==2019.3
Best match: pytz 2019.3
Adding pytz 2019.3 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for kiwisolver==1.1.0
Best match: kiwisolver 1.1.0
Adding kiwisolver 1.1.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for pyparsing==3.0.9
Best match: pyparsing 3.0.9
Adding pyparsing 3.0.9 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for cycler==0.10.0
Best match: cycler 0.10.0
Adding cycler 0.10.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for mccabe==0.6.1
Best match: mccabe 0.6.1
Adding mccabe 0.6.1 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for importlib-metadata==4.2.0
Best match: importlib-metadata 4.2.0
Adding importlib-metadata 4.2.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for pyflakes==2.4.0
Best match: pyflakes 2.4.0
Adding pyflakes 2.4.0 to easy-install.pth file
Installing pyflakes script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for pycodestyle==2.8.0
Best match: pycodestyle 2.8.0
Adding pycodestyle 2.8.0 to easy-install.pth file
Installing pycodestyle script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for certifi==2019.9.11
Best match: certifi 2019.9.11
Adding certifi 2019.9.11 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for urllib3==1.25.6
Best match: urllib3 1.25.6
Adding urllib3 1.25.6 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for chardet==3.0.4
Best match: chardet 3.0.4
Adding chardet 3.0.4 to easy-install.pth file
Installing chardetect script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for idna==2.8
Best match: idna 2.8
Adding idna 2.8 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for click==8.0.4
Best match: click 8.0.4
Adding click 8.0.4 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for Werkzeug==0.16.0
Best match: Werkzeug 0.16.0
Adding Werkzeug 0.16.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for Jinja2==3.0.0
Best match: Jinja2 3.0.0
Adding Jinja2 3.0.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for itsdangerous==1.1.0
Best match: itsdangerous 1.1.0
Adding itsdangerous 1.1.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for nodeenv==1.3.4
Best match: nodeenv 1.3.4
Adding nodeenv 1.3.4 to easy-install.pth file
Installing nodeenv script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for aspy.yaml==1.3.0
Best match: aspy.yaml 1.3.0
Adding aspy.yaml 1.3.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for cfgv==2.0.1
Best match: cfgv 2.0.1
Adding cfgv 2.0.1 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for identify==1.4.10
Best match: identify 1.4.10
Adding identify 1.4.10 to easy-install.pth file
Installing identify-cli script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for virtualenv==16.7.9
Best match: virtualenv 16.7.9
Adding virtualenv 16.7.9 to easy-install.pth file
Installing virtualenv script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for toml==0.10.0
Best match: toml 0.10.0
Adding toml 0.10.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for Babel==2.8.0
Best match: Babel 2.8.0
Adding Babel 2.8.0 to easy-install.pth file
Installing pybabel script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for pycryptodome==3.9.9
Best match: pycryptodome 3.9.9
Adding pycryptodome 3.9.9 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for future==0.18.0
Best match: future 0.18.0
Adding future 0.18.0 to easy-install.pth file
Installing futurize script to /opt/conda/envs/python35-paddle120-env/bin
Installing pasteurize script to /opt/conda/envs/python35-paddle120-env/bin

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for zipp==3.8.1
Best match: zipp 3.8.1
Adding zipp 3.8.1 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for typing-extensions==4.3.0
Best match: typing-extensions 4.3.0
Adding typing-extensions 4.3.0 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Searching for MarkupSafe==2.0.1
Best match: MarkupSafe 2.0.1
Adding MarkupSafe 2.0.1 to easy-install.pth file

Using /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages
Finished processing dependencies for paddledet==2.6.0

二、模型训练

😲准备工作已完成，我们可以正式开始训练啦！

【配置文件1】ppyoloe_plus_crn_s_30e_voc.yml

 😲路径：work/FishTracking/configs/ppyoloe/voc/ppyoloe_plus_crn_s_30e_voc.yml

_BASE_: [
  '../../datasets/fish_detection.yml',
  '../../runtime.yml',
  '.././_base_/optimizer_300e.yml',
  '.././_base_/ppyoloe_crn.yml',
  '.././_base_/ppyoloe_reader.yml',
]

log_iter: 100
snapshot_epoch: 10
weights: output/ppyoloe_plus_crn_s_30e_voc/model_final

pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/ppyoloe_plus_crn_s_80e_coco.pdparams
depth_mult: 0.33
width_mult: 0.50


TrainReader:
  batch_size: 8  # default 8 gpus, total bs = 64

EvalReader:
  batch_size: 4


epoch: 30
LearningRate:
  base_lr: 0.001
  schedulers:
    - !CosineDecay
      max_epochs: 36
    - !LinearWarmup
      start_factor: 0.
      epochs: 1


PPYOLOEHead:
  static_assigner_epoch: -1
  nms:
    name: MultiClassNMS
    nms_top_k: 1000
    keep_top_k: 300
    score_threshold: 0.01
    nms_threshold: 0.7

【配置文件2】fish_detection.yml

 😲路径：work/FishTracking/configs/datasets/fish_detection.yml：

metric: VOC
num_classes: 1   # 只有fish一个目标类

TrainDataset:
  name: VOCDataSet
  dataset_dir: dataset/FishDataset/      # 数据集所在目录
  anno_path: train.txt               # 训练文件
  label_list: labels.txt
  data_fields: ['image', 'gt_bbox', 'gt_class', 'difficult']

EvalDataset:
  name: VOCDataSet
  dataset_dir: dataset/FishDataset/
  label_list: labels.txt
  data_fields: ['image', 'gt_bbox', 'gt_class', 'difficult']

TestDataset:
  name: ImageFolder
  anno_path: labels.txt

1. 检测模型训练

输入以下格式的指令：

【检测模型训练】

python train.py --config /home/aistudio/work/FishTracking/configs/ppyoloe/voc/ppyoloe_plus_crn_s_30e_voc.yml

【ReID模型训练】

python train_embedding_model.py --data-dir [reid数据集根目录] 
                          --lr [学习率，默认为0.0005] \
                          --epochs [训练轮数] \
                          --batch-size [批次大小] \
                          --save-dir [模型保存路径，默认为/output/reid_model]

预测模型输出结果在：work/FishTracking/output/ppyoloe_plus_crn_s_30e_voc/

# 打开文件目录
%cd /home/aistudio/work/FishTracking/

/home/aistudio/work/FishTracking

# 开始训练
!python tools/train.py --config configs/ppyoloe/voc/ppyoloe_plus_crn_s_30e_voc.yml

2. ReID模型训练

注意：ReID模型训练在paddle2.1测试报错，动态图和静态图模式的问题，目前只支持在paddle2.0上使用动态图模式训练。

# 打开文件目录
%cd /home/aistudio/work/FishTracking/deepsort/deep/paddlemodel

/home/aistudio/work/FishTracking/deepsort/deep/paddlemodel

base_lr: 0.001
schedulers:
- !CosineDecay
max_epochs: 36
- !LinearWarmup
start_factor: 0.
epochs: 1

PPYOLOEHead:
static_assigner_epoch: -1
nms:
name: MultiClassNMS
nms_top_k: 1000
keep_top_k: 300
score_threshold: 0.01
nms_threshold: 0.7

【配置文件2】fish_detection.yml

😲路径：work/FishTracking/configs/datasets/fish_detection.yml：

metric: VOC
num_classes: 1 # 只有fish一个目标类

TrainDataset:
name: VOCDataSet
dataset_dir: dataset/FishDataset/ # 数据集所在目录
anno_path: train.txt # 训练文件
label_list: labels.txt
data_fields: [‘image’, ‘gt_bbox’, ‘gt_class’, ‘difficult’]

EvalDataset:
name: VOCDataSet
dataset_dir: dataset/FishDataset/
label_list: labels.txt
data_fields: [‘image’, ‘gt_bbox’, ‘gt_class’, ‘difficult’]

TestDataset:
name: ImageFolder
anno_path: labels.txt

### 1. 检测模型训练


输入以下格式的指令：

【检测模型训练】

python train.py --config /home/aistudio/work/FishTracking/configs/ppyoloe/voc/ppyoloe_plus_crn_s_30e_voc.yml

【ReID模型训练】

python train_embedding_model.py --data-dir [reid数据集根目录]
–lr [学习率，默认为0.0005]
–epochs [训练轮数]
–batch-size [批次大小]
–save-dir [模型保存路径，默认为/output/reid_model]

预测模型输出结果在：work/FishTracking/output/ppyoloe_plus_crn_s_30e_voc/




```python
# 打开文件目录
%cd /home/aistudio/work/FishTracking/

/home/aistudio/work/FishTracking

# 开始训练
!python tools/train.py --config configs/ppyoloe/voc/ppyoloe_plus_crn_s_30e_voc.yml

2. ReID模型训练

注意：ReID模型训练在paddle2.1测试报错，动态图和静态图模式的问题，目前只支持在paddle2.0上使用动态图模式训练。

# 打开文件目录
%cd /home/aistudio/work/FishTracking/deepsort/deep/paddlemodel

/home/aistudio/work/FishTracking/deepsort/deep/paddlemodel

# 开始训练
!python train_embedding_model.py --data-dir  /home/aistudio/work/FishTracking/dataset/FishDataset/  \
                                 --lr 0.0005  \
                                 --epochs 80 \
                                 --batch-size 128 \
                                 --save-dir ~/output/reid_model   # 保存训练模型

三、模型预测

注意：生成的视频路径必须为mp4格式

预测结果可视化，检验模型效果，输入以下格式的指令：

python fish_track.py --video [视频路径] \
               --path [生成视频路径]   \
               --config [检测模型配置文件]   \
               --weights [检测模型参数路径]    \
               --reid_weights [reid模型路径]

# 1.检测模型预测
!python work/FishTracking/deploy/python/infer.py --model_dir=work/FishTracking/output/ppyoloe_plus_crn_s_30e_voc/  \
                                                 --video_file=work/FishTracking/assets/fishdet.mp4   \
                                                 --config configs/ppyoloe/voc/ppyoloe_plus_crn_s_30e_voc.yml
                                                 --device=GPU  \
                                                 --thresh=0.5

# 待预测视频放在assets目录下面，预测结果在output路径下面
%cd work/FishTracking/assets

# 打开文件目录
%cd /home/aistudio/FishTracking

# 2.ReID模型预测
# 使用单个GPU通过如下命令预测一个鱼类视频，并保存：
!python infer.py --video work/FishTracking/assets/fishdet.mp4 \
                 --path work/FishTracking/output/result.mp4  \
                 --config /home/aistudio/work/FishTracking/configs/ppyoloe/voc/ppyoloe_plus_crn_s_30e_voc.yml  \
                 --weights https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_l_pretrained.pdparams  \
                 --reid_weights 'output/reid_model/params.pd'

五、预测结果

# 跟踪视频将保存在同级目录的output目录下

此文章为转载
原文链接