congestion-detection-system

https://github.com/fengwenkkk/congestion-detection-system

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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Scientific vocabulary similarity
Low similarity (1.0%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: fengwenkkk
License: agpl-3.0
Language: Python
Default Branch: main
Size: 6.17 MB

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Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created almost 2 years ago · Last pushed almost 2 years ago

Metadata Files

Readme Contributing License Citation

README.md

旧版本YOLOv8代码修改

loss修改

(【最新！YOLOv8修改损失函数】 https://www.bilibili.com/video/BV1QC4y1d7WW/?sharesource=copyweb&vd_source=d7850fadfe10285a97043c4d7320aefc)

1、找到loss.py和tal.py文件

2、两个文件各自搜索iou1,找到对应所在行,修改函数名即可

3、点击函数bbox_iou可以查看可使用的loss函数,其中WIOU使用方法见视频

注意力机制修改

【最新！YOLOv8添加注意力机制——轻松上手】 https://www.bilibili.com/video/BV1tV4y1v7ND/?sharesource=copyweb&vd_source=d7850fadfe10285a97043c4d7320aefc

1、找到需要添加的注意力机制

2、在conv.py文件下路径：ultralytics/nn/modules/conv.py 放入注意力机制代码

3、--在conv.py的all里添加名字 ----在ultralytics/nn/modules/init.py 添加名字 ----在ultralytics/nn/tasks.py 添加名字from ultralytics.nn.modules import 加入名字

4、在ultralytics/nn/tasks.py添加配置

（1）elif m in {CBAM}: c1, c2 = ch[f], args[0] if c2 != nc: c2 = makedivisible(min(c2, maxchannels) * width, 8) args = [c1, *args[1:]]

（2）elif m in {GatherExcite}: args =[ch[f],*args]

5、test运行一下报什么错对应debug

Owner

Login: fengwenkkk
Kind: user

Repositories: 1
Profile: https://github.com/fengwenkkk

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use this software, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  - family-names: Chaurasia
    given-names: Ayush
    orcid: "https://orcid.org/0000-0002-7603-6750"
  - family-names: Qiu
    given-names: Jing
    orcid: "https://orcid.org/0000-0003-3783-7069"
  title: "YOLO by Ultralytics"
  version: 8.0.0
  # doi: 10.5281/zenodo.3908559  # TODO
  date-released: 2023-1-10
  license: AGPL-3.0
  url: "https://github.com/ultralytics/ultralytics"

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Dependencies

requirements.txt pypi

matplotlib >=3.2.2
numpy >=1.22.2
opencv-python >=4.6.0
pandas >=1.1.4
pillow >=7.1.2
psutil *
py-cpuinfo *
pyyaml >=5.3.1
requests >=2.23.0
scipy >=1.4.1
seaborn >=0.11.0
torch >=1.7.0
torchvision >=0.8.1
tqdm >=4.64.0

setup.py pypi

ecosyste.ms

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