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yolov5-master.zip

大小:1.04MB

价格:29积分

下载量:0

评分:

5.0

上传者:jing_h21

更新日期:2025-09-22

yolov5////////////

资源文件列表(大概)

文件名

大小

yolov5-master/

yolov5-master/.dockerignore

3.61KB

yolov5-master/.gitattributes

75B

yolov5-master/.github/

yolov5-master/.github/ISSUE_TEMPLATE/

yolov5-master/.github/ISSUE_TEMPLATE/bug-report.yml

2.9KB

yolov5-master/.github/ISSUE_TEMPLATE/config.yml

405B

yolov5-master/.github/ISSUE_TEMPLATE/feature-request.yml

1.79KB

yolov5-master/.github/ISSUE_TEMPLATE/question.yml

1.17KB

yolov5-master/.github/dependabot.yml

649B

yolov5-master/.github/workflows/

yolov5-master/.github/workflows/ci-testing.yml

6.8KB

yolov5-master/.github/workflows/cla.yml

1.58KB

yolov5-master/.github/workflows/codeql-analysis.yml

2.07KB

yolov5-master/.github/workflows/docker.yml

1.66KB

yolov5-master/.github/workflows/format.yml

1.12KB

yolov5-master/.github/workflows/greetings.yml

5.36KB

yolov5-master/.github/workflows/links.yml

2.74KB

yolov5-master/.github/workflows/merge-main-into-prs.yml

1.77KB

yolov5-master/.github/workflows/stale.yml

2.31KB

yolov5-master/.gitignore

3.9KB

yolov5-master/CITATION.cff

393B

yolov5-master/CONTRIBUTING.md

4.88KB

yolov5-master/LICENSE

33.71KB

yolov5-master/README.md

41.57KB

yolov5-master/README.zh-CN.md

41.3KB

yolov5-master/benchmarks.py

13.79KB

yolov5-master/classify/

yolov5-master/classify/predict.py

11.8KB

yolov5-master/classify/train.py

16.1KB

yolov5-master/classify/tutorial.ipynb

101.23KB

yolov5-master/classify/val.py

8.01KB

yolov5-master/data/

yolov5-master/data/Argoverse.yaml

2.66KB

yolov5-master/data/GlobalWheat2020.yaml

1.84KB

yolov5-master/data/ImageNet.yaml

18.42KB

yolov5-master/data/ImageNet10.yaml

929B

yolov5-master/data/ImageNet100.yaml

2.58KB

yolov5-master/data/ImageNet1000.yaml

18.42KB

yolov5-master/data/Objects365.yaml

8.98KB

yolov5-master/data/SKU-110K.yaml

2.28KB

yolov5-master/data/VOC.yaml

3.41KB

yolov5-master/data/VisDrone.yaml

2.9KB

yolov5-master/data/coco.yaml

2.43KB

yolov5-master/data/coco128-seg.yaml

1.85KB

yolov5-master/data/coco128.yaml

1.83KB

yolov5-master/data/hyps/

yolov5-master/data/hyps/hyp.Objects365.yaml

671B

yolov5-master/data/hyps/hyp.VOC.yaml

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yolov5-master/data/hyps/hyp.no-augmentation.yaml

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yolov5-master/data/hyps/hyp.scratch-high.yaml

1.61KB

yolov5-master/data/hyps/hyp.scratch-low.yaml

1.62KB

yolov5-master/data/hyps/hyp.scratch-med.yaml

1.62KB

yolov5-master/data/images/

yolov5-master/data/images/bus.jpg

476.01KB

yolov5-master/data/images/zidane.jpg

164.99KB

yolov5-master/data/scripts/

yolov5-master/data/scripts/download_weights.sh

641B

yolov5-master/data/scripts/get_coco.sh

1.53KB

yolov5-master/data/scripts/get_coco128.sh

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yolov5-master/data/scripts/get_imagenet.sh

1.63KB

yolov5-master/data/scripts/get_imagenet10.sh

734B

yolov5-master/data/scripts/get_imagenet100.sh

738B

yolov5-master/data/scripts/get_imagenet1000.sh

742B

yolov5-master/data/xView.yaml

5.04KB

yolov5-master/detect.py

22.54KB

yolov5-master/export.py

64.87KB

yolov5-master/hubconf.py

23.41KB

yolov5-master/models/

yolov5-master/models/__init__.py

yolov5-master/models/common.py

49.53KB

yolov5-master/models/experimental.py

5.03KB

yolov5-master/models/hub/

yolov5-master/models/hub/anchors.yaml

3.26KB

yolov5-master/models/hub/yolov3-spp.yaml

1.55KB

yolov5-master/models/hub/yolov3-tiny.yaml

1.22KB

yolov5-master/models/hub/yolov3.yaml

1.54KB

yolov5-master/models/hub/yolov5-bifpn.yaml

1.41KB

yolov5-master/models/hub/yolov5-fpn.yaml

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yolov5-master/models/hub/yolov5-p2.yaml

1.66KB

yolov5-master/models/hub/yolov5-p34.yaml

1.21KB

yolov5-master/models/hub/yolov5-p6.yaml

1.71KB

yolov5-master/models/hub/yolov5-p7.yaml

2.09KB

yolov5-master/models/hub/yolov5-panet.yaml

1.39KB

yolov5-master/models/hub/yolov5l6.yaml

1.79KB

yolov5-master/models/hub/yolov5m6.yaml

1.79KB

yolov5-master/models/hub/yolov5n6.yaml

1.79KB

yolov5-master/models/hub/yolov5s-LeakyReLU.yaml

1.48KB

yolov5-master/models/hub/yolov5s-ghost.yaml

1.46KB

yolov5-master/models/hub/yolov5s-transformer.yaml

1.42KB

yolov5-master/models/hub/yolov5s6.yaml

1.79KB

yolov5-master/models/hub/yolov5x6.yaml

1.79KB

yolov5-master/models/segment/

yolov5-master/models/segment/yolov5l-seg.yaml

1.39KB

yolov5-master/models/segment/yolov5m-seg.yaml

1.4KB

yolov5-master/models/segment/yolov5n-seg.yaml

1.4KB

yolov5-master/models/segment/yolov5s-seg.yaml

1.4KB

yolov5-master/models/segment/yolov5x-seg.yaml

1.4KB

yolov5-master/models/tf.py

31.42KB

yolov5-master/models/yolo.py

20.17KB

yolov5-master/models/yolov5l.yaml

1.38KB

yolov5-master/models/yolov5m.yaml

1.39KB

yolov5-master/models/yolov5n.yaml

1.39KB

yolov5-master/models/yolov5s.yaml

1.39KB

yolov5-master/models/yolov5x.yaml

1.39KB

yolov5-master/pyproject.toml

5.25KB

yolov5-master/requirements.txt

1.56KB

yolov5-master/segment/

yolov5-master/segment/predict.py

15.9KB

yolov5-master/segment/train.py

34.35KB

yolov5-master/segment/tutorial.ipynb

42.45KB

yolov5-master/segment/val.py

23.8KB

yolov5-master/train.py

46.03KB

yolov5-master/tutorial.ipynb

40.51KB

yolov5-master/utils/

yolov5-master/utils/__init__.py

3.15KB

yolov5-master/utils/activations.py

4.5KB

yolov5-master/utils/augmentations.py

18.44KB

yolov5-master/utils/autoanchor.py

7.75KB

yolov5-master/utils/autobatch.py

2.97KB

yolov5-master/utils/aws/

yolov5-master/utils/aws/__init__.py

yolov5-master/utils/aws/mime.sh

780B

yolov5-master/utils/aws/resume.py

1.21KB

yolov5-master/utils/aws/userdata.sh

1.22KB

yolov5-master/utils/callbacks.py

2.65KB

yolov5-master/utils/dataloaders.py

58.92KB

yolov5-master/utils/docker/

yolov5-master/utils/docker/Dockerfile

2.5KB

yolov5-master/utils/docker/Dockerfile-arm64

1.53KB

yolov5-master/utils/docker/Dockerfile-cpu

1.78KB

yolov5-master/utils/downloads.py

5.11KB

yolov5-master/utils/flask_rest_api/

yolov5-master/utils/flask_rest_api/README.md

1.67KB

yolov5-master/utils/flask_rest_api/example_request.py

365B

yolov5-master/utils/flask_rest_api/restapi.py

1.54KB

yolov5-master/utils/general.py

50.19KB

yolov5-master/utils/google_app_engine/

yolov5-master/utils/google_app_engine/Dockerfile

821B

yolov5-master/utils/google_app_engine/additional_requirements.txt

264B

yolov5-master/utils/google_app_engine/app.yaml

219B

yolov5-master/utils/loggers/

yolov5-master/utils/loggers/__init__.py

19.69KB

yolov5-master/utils/loggers/clearml/

yolov5-master/utils/loggers/clearml/README.md

10.55KB

yolov5-master/utils/loggers/clearml/__init__.py

yolov5-master/utils/loggers/clearml/clearml_utils.py

9.47KB

yolov5-master/utils/loggers/clearml/hpo.py

5.17KB

yolov5-master/utils/loggers/comet/

yolov5-master/utils/loggers/comet/README.md

10.56KB

yolov5-master/utils/loggers/comet/__init__.py

21.09KB

yolov5-master/utils/loggers/comet/comet_utils.py

4.71KB

yolov5-master/utils/loggers/comet/hpo.py

6.77KB

yolov5-master/utils/loggers/comet/optimizer_config.json

2.37KB

yolov5-master/utils/loggers/wandb/

yolov5-master/utils/loggers/wandb/__init__.py

yolov5-master/utils/loggers/wandb/wandb_utils.py

7.95KB

yolov5-master/utils/loss.py

10.93KB

yolov5-master/utils/metrics.py

15.11KB

yolov5-master/utils/plots.py

20.16KB

yolov5-master/utils/segment/

yolov5-master/utils/segment/__init__.py

yolov5-master/utils/segment/augmentations.py

3.69KB

yolov5-master/utils/segment/dataloaders.py

13.24KB

yolov5-master/utils/segment/general.py

5.8KB

yolov5-master/utils/segment/loss.py

8.91KB

yolov5-master/utils/segment/metrics.py

5.76KB

yolov5-master/utils/segment/plots.py

6.53KB

yolov5-master/utils/torch_utils.py

21.06KB

yolov5-master/utils/triton.py

3.7KB

yolov5-master/val.py

29.71KB

资源内容介绍

yolov5////////////

<div align="center"> <p> <a href="http://www.ultralytics.com/blog/ultralytics-yolov8-turns-one-a-year-of-breakthroughs-and-innovations" target="_blank"> <img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"></a>  </p>[涓枃](https://docs.ultralytics.com/zh/) | [頃滉淡鞏碷(https://docs.ultralytics.com/ko/) | [鏃ユ湰瑾瀅(https://docs.ultralytics.com/ja/) | [袪褍褋褋泻懈泄](https://docs.ultralytics.com/ru/) | [Deutsch](https://docs.ultralytics.com/de/) | [Fran莽ais](https://docs.ultralytics.com/fr/) | [Espa帽ol](https://docs.ultralytics.com/es/) | [Portugu锚s](https://docs.ultralytics.com/pt/) | [T眉rk莽e](https://docs.ultralytics.com/tr/) | [Ti岷縩g Vi峄噒](https://docs.ultralytics.com/vi/) | [啶灌た啶ㄠ啶︵](https://docs.ultralytics.com/hi/) | [丕賱毓乇亘賷丞](https://docs.ultralytics.com/ar/)<div> <a href="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml"><img src="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml/badge.svg" alt="YOLOv5 CI"></a> <a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="YOLOv5 Citation"></a> <a href="https://hub.docker.com/r/ultralytics/yolov5"><img src="https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker" alt="Docker Pulls"></a> <a href="https://ultralytics.com/discord"><img alt="Discord" src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a> <a href="https://community.ultralytics.com"><img alt="Ultralytics Forums" src="https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue"></a> <br> <a href="https://bit.ly/yolov5-paperspace-notebook"><img src="https://assets.paperspace.io/img/gradient-badge.svg" alt="Run on Gradient"></a> <a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> <a href="https://www.kaggle.com/ultralytics/yolov5"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a> </div> <br>YOLOv5 馃殌 is the world's most loved vision AI, representing <a href="https://ultralytics.com">Ultralytics</a> open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.We hope that the resources here will help you get the most out of YOLOv5. Please browse the YOLOv5 <a href="https://docs.ultralytics.com/yolov5">Docs</a> for details, raise an issue on <a href="https://github.com/ultralytics/yolov5/issues/new/choose">GitHub</a> for support, and join our <a href="https://ultralytics.com/discord">Discord</a> community for questions and discussions!To request an Enterprise License please complete the form at [Ultralytics Licensing](https://ultralytics.com/license).<div align="center"> <a href="https://github.com/ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="Ultralytics GitHub"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%"> <a href="https://www.linkedin.com/company/ultralytics/"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="Ultralytics LinkedIn"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%"> <a href="https://twitter.com/ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-twitter.png" width="2%" alt="Ultralytics Twitter"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%"> <a href="https://youtube.com/ultralytics?sub_confirmation=1"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-youtube.png" width="2%" alt="Ultralytics YouTube"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%"> <a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="2%" alt="Ultralytics TikTok"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%"> <a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="2%" alt="Ultralytics BiliBili"></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%"> <a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="2%" alt="Ultralytics Discord"></a></div></div><br>## <div align="center">YOLOv8 馃殌 NEW</div>We are thrilled to announce the launch of Ultralytics YOLOv8 馃殌, our NEW cutting-edge, state-of-the-art (SOTA) model released at **[https://github.com/ultralytics/ultralytics](https://github.com/ultralytics/ultralytics)**. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection, image segmentation and image classification tasks.See the [YOLOv8 Docs](https://docs.ultralytics.com) for details and get started with:[![PyPI version](https://badge.fury.io/py/ultralytics.svg)](https://badge.fury.io/py/ultralytics) [![Downloads](https://static.pepy.tech/badge/ultralytics)](https://pepy.tech/project/ultralytics)```bashpip install ultralytics```<div align="center"> <a href="https://ultralytics.com/yolov8" target="_blank"> <img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/yolo-comparison-plots.png"></a></div>## <div align="center">Documentation</div>See the [YOLOv5 Docs](https://docs.ultralytics.com/yolov5) for full documentation on training, testing and deployment. See below for quickstart examples.<details open><summary>Install</summary>Clone repo and install [requirements.txt](https://github.com/ultralytics/yolov5/blob/master/requirements.txt) in a [**Python>=3.8.0**](https://www.python.org/) environment, including [**PyTorch>=1.8**](https://pytorch.org/get-started/locally/).```bashgit clone https://github.com/ultralytics/yolov5 # clonecd yolov5pip install -r requirements.txt # install```</details><details><summary>Inference</summary>YOLOv5 [PyTorch Hub](https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading) inference. [Models](https://github.com/ultralytics/yolov5/tree/master/models) download automatically from the latest YOLOv5 [release](https://github.com/ultralytics/yolov5/releases).```pythonimport torch# Modelmodel = torch.hub.load("ultralytics/yolov5", "yolov5s") # or yolov5n - yolov5x6, custom# Imagesimg = "https://ultralytics.com/images/zidane.jpg" # or file, Path, PIL, OpenCV, numpy, list# Inferenceresults = model(img)# Resultsresults.print() # or .show(), .save(), .crop(), .pandas(), etc.```</details><details><summary>Inference with detect.py</summary>`detect.py` runs inference on a variety of sources, downloading [models](https://github.com/ultralytics/yolov5/tree/master/models) automatically from the latest YOLOv5 [release](https://github.com/ultralytics/yolov5/releases) and saving results to `runs/detect`.```bashpython detect.py --weights yolov5s.pt --source 0 # webcam img.jpg # image vid.mp4

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