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https://github.com/wang-chenyang/-

Science Score: 54.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
    Links to: ieee.org
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: wang-chenyang
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 1000 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Citation

README.md

HNU Data Mining

22yolov5

:

1.

git clone

git clone https://github.com/yu-haoyuan/yolov5-tml

,ieee

https://ieeexplore.ieee.org/document/9991806

,

https://github.com/freds0/PTL-AI_Furnas_Dataset
2.

yolov5,detect.pyruns expbus.jpgzidane.jpg,

3.

,yolov5yaml

1Download PTL-AI Furnas Dataset here.

****,:

furnas_dataset_v0.07
   .ipynb_checkpoints
   data
  |   coco
  |   csv
  |   |xml
  |   |yolo//labels
  |       test
         train

   imgs//images
      test
      train

   output
   utils

,,yolov5,

yolo,val

valyolo,datafix.pyval,val,datafix.py,dataset,val

imgsdatayololabelsval,,tmldata(yaml)

tmldata
   images
      test
      train
      val
   labels
       test
       train
       val

tmldatatml-data

yolov5-tml
   data
        tmldata
             images
                test
                train
                val
             labels
                 test
                 train
                 val

.yaml,,

yolov5-tml
   data
      tml.yaml

,

4.yolov5parser

,train.pyval.py

train.py:

,parser,,

parser.add_argument("--cfg", type=str, default="models/yolov5s.yaml", help="model.yaml path")
parser.add_argument("--data", type=str, default=ROOT / "data/tml.yaml", help="dataset.yaml path")
parser.add_argument("--epochs", type=int, default=100, help="total training epochs")
parser.add_argument("--batch-size", type=int, default=4, help="total batch size for all GPUs, -1 for autobatch")

--cfg,yolov5 https://github.com/ultralytics/yolov5 ,() detect.py,yolov5s.pt,

--data,data/tml.yaml --epochs,100 --batch-size,

() python train.py --data data/tml.yaml --batch-size 4

python train.py, wandb,

,runstrain--exps exp,weightdbest.pt,

5.

val.py:

val.py,

parser.add_argument("--data", type=str, default=ROOT / "data/tml.yaml", help="dataset.yaml path")
parser.add_argument("--weights", nargs="+", type=str, default=ROOT / "runs/train/exp8/weights/best.pt", help="model path(s)")

,"runs/train/exp8/weights/best.pt",best.pt,,6runs/train/exp6/weights/ ,python val.py

6.

terminal pip install wandb WeTab (wandb.ai) terminal

wandAPI key_SF199853-CSDN\

Owner

  • Login: wang-chenyang
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use YOLOv5, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  title: "YOLOv5 by Ultralytics"
  version: 7.0
  doi: 10.5281/zenodo.3908559
  date-released: 2020-5-29
  license: AGPL-3.0
  url: "https://github.com/ultralytics/yolov5"

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Dependencies

utils/docker/Dockerfile docker
  • pytorch/pytorch 2.0.0-cuda11.7-cudnn8-runtime build
utils/google_app_engine/Dockerfile docker
  • gcr.io/google-appengine/python latest build
pyproject.toml pypi
  • matplotlib >=3.3.0
  • 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
  • thop >=0.1.1
  • torch >=1.8.0
  • torchvision >=0.9.0
  • tqdm >=4.64.0
  • ultralytics >=8.1.47
requirements.txt pypi
  • PyYAML >=5.3.1
  • gitpython >=3.1.30
  • matplotlib >=3.3
  • numpy >=1.23.5
  • opencv-python >=4.1.1
  • pandas >=1.1.4
  • pillow >=10.3.0
  • psutil *
  • requests >=2.32.2
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • setuptools >=70.0.0
  • thop >=0.1.1
  • torchvision >=0.9.0
  • tqdm >=4.66.3
utils/google_app_engine/additional_requirements.txt pypi
  • Flask ==2.3.2
  • gunicorn ==22.0.0
  • pip ==23.3
  • werkzeug >=3.0.1
  • zipp >=3.19.1