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stealdefectdetection

服创赛-钢铁缺陷检测

https://github.com/laurent-zhu/stealdefectdetection

Science Score: 23.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

服创赛-钢铁缺陷检测

Basic Info
  • Host: GitHub
  • Owner: Laurent-Zhu
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 163 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Contributing License Citation

README.md

  1. data.yaml

  2. NEU-DETdataset

  3. train.py

bash python train.py

  1. runs/train
  1. detect.py

bash python detect.py

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[**Python>=3.8**](https://www.python.org/) [**PyTorch>=1.8**](https://pytorch.org/get-started/locally/) pip [](https://github.com/ultralytics/ultralytics/blob/main/pyproject.toml) ultralytics [![PyPI - Version](https://img.shields.io/pypi/v/ultralytics?logo=pypi&logoColor=white)](https://pypi.org/project/ultralytics/) [![Ultralytics Downloads](https://static.pepy.tech/badge/ultralytics)](https://www.pepy.tech/projects/ultralytics) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ultralytics?logo=python&logoColor=gold)](https://pypi.org/project/ultralytics/) ```bash pip install ultralytics ``` [Conda](https://anaconda.org/conda-forge/ultralytics)[Docker](https://hub.docker.com/r/ultralytics/ultralytics) Git [](https://docs.ultralytics.com/quickstart/) [![Conda Version](https://img.shields.io/conda/vn/conda-forge/ultralytics?logo=condaforge)](https://anaconda.org/conda-forge/ultralytics) [![Docker Image Version](https://img.shields.io/docker/v/ultralytics/ultralytics?sort=semver&logo=docker)](https://hub.docker.com/r/ultralytics/ultralytics) [![Ultralytics Docker Pulls](https://img.shields.io/docker/pulls/ultralytics/ultralytics?logo=docker)](https://hub.docker.com/r/ultralytics/ultralytics)
### CLI YOLO CLI `yolo` ```bash yolo predict model=yolo11n.pt source='https://ultralytics.com/images/bus.jpg' ``` `yolo` `imgsz=640` YOLO [CLI ](https://docs.ultralytics.com/usage/cli/) ### Python YOLO Python CLI [](https://docs.ultralytics.com/usage/cfg/) ```python from ultralytics import YOLO # model = YOLO("yolo11n.pt") # train_results = model.train( data="coco8.yaml", # YAML epochs=100, # imgsz=640, # device="cpu", # device=0 device=0,1,2,3 device=cpu ) # metrics = model.val() # results = model("path/to/image.jpg") results[0].show() # ONNX path = model.export(format="onnx") # ``` YOLO [Python ](https://docs.ultralytics.com/usage/python/)

YOLO11 COCO ImageNet YOLO11 Ultralytics

Ultralytics YOLO supported tasks

(COCO) [](https://docs.ultralytics.com/tasks/detect/) [COCO](https://docs.ultralytics.com/datasets/detect/coco/) 80 | |
() | mAPval
50-95 |
CPU ONNX
(ms) |
T4 TensorRT10
(ms) |
(M) | FLOPs
(B) | | ------------------------------------------------------------------------------------ | ------------------- | -------------------- | ----------------------------- | ---------------------------------- | ---------------- | ----------------- | | [YOLO11n](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt) | 640 | 39.5 | 56.1 0.8 | 1.5 0.0 | 2.6 | 6.5 | | [YOLO11s](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11s.pt) | 640 | 47.0 | 90.0 1.2 | 2.5 0.0 | 9.4 | 21.5 | | [YOLO11m](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11m.pt) | 640 | 51.5 | 183.2 2.0 | 4.7 0.1 | 20.1 | 68.0 | | [YOLO11l](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11l.pt) | 640 | 53.4 | 238.6 1.4 | 6.2 0.1 | 25.3 | 86.9 | | [YOLO11x](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11x.pt) | 640 | 54.7 | 462.8 6.7 | 11.3 0.2 | 56.9 | 194.9 | - **mAPval** [COCO val2017](https://cocodataset.org/)
`yolo val detect data=coco.yaml device=0` - **** [Amazon EC2 P4d](https://aws.amazon.com/ec2/instance-types/p4/) COCO
`yolo val detect data=coco.yaml batch=1 device=0|cpu`
(COCO) [](https://docs.ultralytics.com/tasks/segment/) [COCO-Seg](https://docs.ultralytics.com/datasets/segment/coco/) 80 | |
() | mAPbox
50-95 | mAPmask
50-95 |
CPU ONNX
(ms) |
T4 TensorRT10
(ms) |
(M) | FLOPs
(B) | | -------------------------------------------------------------------------------------------- | ------------------- | -------------------- | --------------------- | ----------------------------- | ---------------------------------- | ---------------- | ----------------- | | [YOLO11n-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n-seg.pt) | 640 | 38.9 | 32.0 | 65.9 1.1 | 1.8 0.0 | 2.9 | 10.4 | | [YOLO11s-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11s-seg.pt) | 640 | 46.6 | 37.8 | 117.6 4.9 | 2.9 0.0 | 10.1 | 35.5 | | [YOLO11m-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11m-seg.pt) | 640 | 51.5 | 41.5 | 281.6 1.2 | 6.3 0.1 | 22.4 | 123.3 | | [YOLO11l-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11l-seg.pt) | 640 | 53.4 | 42.9 | 344.2 3.2 | 7.8 0.2 | 27.6 | 142.2 | | [YOLO11x-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11x-seg.pt) | 640 | 54.7 | 43.8 | 664.5 3.2 | 15.8 0.7 | 62.1 | 319.0 | - **mAPval** [COCO val2017](https://cocodataset.org/)
`yolo val segment data=coco.yaml device=0` - **** [Amazon EC2 P4d](https://aws.amazon.com/ec2/instance-types/p4/) COCO
`yolo val segment data=coco.yaml batch=1 device=0|cpu`
(ImageNet) [](https://docs.ultralytics.com/tasks/classify/) [ImageNet](https://docs.ultralytics.com/datasets/classify/imagenet/) 1000 | |
() | acc
top1 | acc
top5 |
CPU ONNX
(ms) |
T4 TensorRT10
(ms) |
(M) | FLOPs
(B) at 224 | | -------------------------------------------------------------------------------------------- | ------------------- | ---------------- | ---------------- | ----------------------------- | ---------------------------------- | ---------------- | ------------------------ | | [YOLO11n-cls](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n-cls.pt) | 224 | 70.0 | 89.4 | 5.0 0.3 | 1.1 0.0 | 1.6 | 0.5 | | [YOLO11s-cls](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11s-cls.pt) | 224 | 75.4 | 92.7 | 7.9 0.2 | 1.3 0.0 | 5.5 | 1.6 | | [YOLO11m-cls](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11m-cls.pt) | 224 | 77.3 | 93.9 | 17.2 0.4 | 2.0 0.0 | 10.4 | 5.0 | | [YOLO11l-cls](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11l-cls.pt) | 224 | 78.3 | 94.3 | 23.2 0.3 | 2.8 0.0 | 12.9 | 6.2 | | [YOLO11x-cls](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11x-cls.pt) | 224 | 79.5 | 94.9 | 41.4 0.9 | 3.8 0.0 | 28.4 | 13.7 | - **acc** [ImageNet](https://www.image-net.org/)
`yolo val classify data=path/to/ImageNet device=0` - **** [Amazon EC2 P4d](https://aws.amazon.com/ec2/instance-types/p4/) ImageNet
`yolo val classify data=path/to/ImageNet batch=1 device=0|cpu`
(COCO) [](https://docs.ultralytics.com/tasks/pose/) [COCO-Pose](https://docs.ultralytics.com/datasets/pose/coco/) 1 | |
() | mAPpose
50-95 | mAPpose
50 |
CPU ONNX
(ms) |
T4 TensorRT10
(ms) |
(M) | FLOPs
(B) | | -------------------------------------------------------------------------------------------- | ------------------- | --------------------- | ------------------ | ----------------------------- | ---------------------------------- | ---------------- | ----------------- | | [YOLO11n-obb](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n-obb.pt) | 1024 | 78.4 | 117.6 0.8 | 4.4 0.0 | 2.7 | 17.2 | | [YOLO11s-obb](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11s-obb.pt) | 1024 | 79.5 | 219.4 4.0 | 5.1 0.0 | 9.7 | 57.5 | | [YOLO11m-obb](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11m-obb.pt) | 1024 | 80.9 | 562.8 2.9 | 10.1 0.4 | 20.9 | 183.5 | | [YOLO11l-obb](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11l-obb.pt) | 1024 | 81.0 | 712.5 5.0 | 13.5 0.6 | 26.2 | 232.0 | | [YOLO11x-obb](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11x-obb.pt) | 1024 | 81.3 | 1408.6 7.7 | 28.6 1.0 | 58.8 | 520.2 | - **mAPval** [COCO Keypoints val2017](https://cocodataset.org/)
`yolo val pose data=coco-pose.yaml device=0` - **** [Amazon EC2 P4d](https://aws.amazon.com/ec2/instance-types/p4/) COCO
`yolo val pose data=coco-pose.yaml batch=1 device=0|cpu`
OBB (DOTAv1) [OBB ](https://docs.ultralytics.com/tasks/obb/) [DOTAv1](https://docs.ultralytics.com/datasets/obb/dota-v2/#dota-v10/) 15 | |
() | mAPtest
50 |
CPU ONNX
(ms) |
T4 TensorRT10
(ms) |
(M) | FLOPs
(B) | | -------------------------------------------------------------------------------------------- | ------------------- | ------------------ | ----------------------------- | ---------------------------------- | ---------------- | ----------------- | | [YOLO11n-obb](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n-obb.pt) | 1024 | 78.4 | 117.56 0.80 | 4.43 0.01 | 2.7 | 17.2 | | [YOLO11s-obb](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11s-obb.pt) | 1024 | 79.5 | 219.41 4.00 | 5.13 0.02 | 9.7 | 57.5 | | [YOLO11m-obb](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11m-obb.pt) | 1024 | 80.9 | 562.81 2.87 | 10.07 0.38 | 20.9 | 183.5 | | [YOLO11l-obb](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11l-obb.pt) | 1024 | 81.0 | 712.49 4.98 | 13.46 0.55 | 26.2 | 232.0 | | [YOLO11x-obb](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11x-obb.pt) | 1024 | 81.3 | 1408.63 7.67 | 28.59 0.96 | 58.8 | 520.2 | - **mAPtest** [DOTAv1](https://captain-whu.github.io/DOTA/index.html)
`yolo val obb data=DOTAv1.yaml device=0 split=test` [DOTA ](https://captain-whu.github.io/DOTA/evaluation.html) - **** [Amazon EC2 P4d](https://aws.amazon.com/ec2/instance-types/p4/) DOTAv1
`yolo val obb data=DOTAv1.yaml batch=1 device=0|cpu`

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Owner

  • Login: Laurent-Zhu
  • Kind: user

GitHub Events

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Dependencies

examples/YOLO-Series-ONNXRuntime-Rust/Cargo.toml cargo
examples/YOLOv8-ONNXRuntime-Rust/Cargo.toml cargo
docker/Dockerfile docker
  • pytorch/pytorch 2.6.0-cuda12.6-cudnn9-runtime build
examples/YOLOv8-Action-Recognition/requirements.txt pypi
  • transformers *
  • ultralytics *
pyproject.toml pypi
  • matplotlib >=3.3.0
  • numpy >=1.23.0,<=2.1.1
  • 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 >=1.8.0
  • torch >=1.8.0,!=2.4.0; sys_platform == 'win32'
  • torchvision >=0.9.0
  • tqdm >=4.64.0
  • ultralytics-thop >=2.0.0