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yolov5.zip
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5.0
上传者:pcgamer
更新日期:2025-09-22

yolov5的python代码

资源文件列表(大概)

文件名
大小
yolov5/
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yolov5/classify/
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yolov5/LICENSE
33.71KB
yolov5/requirements.txt
1.53KB
yolov5/.pre-commit-config.yaml
1.77KB
yolov5/CITATION.cff
393B
yolov5/val.py
20.1KB
yolov5/segment/
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yolov5/utils/
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yolov5/models/
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yolov5/export.py
40.31KB
yolov5/README.md
40.62KB
yolov5/.dockerignore
3.61KB
yolov5/.gitignore
3.9KB
yolov5/CONTRIBUTING.md
4.89KB
yolov5/.github/
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yolov5/.gitattributes
75B
yolov5/train.py
33.09KB
yolov5/README.zh-CN.md
39.66KB
yolov5/setup.cfg
1.68KB
yolov5/hubconf.py
7.59KB
yolov5/.git/
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yolov5/data/
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yolov5/detect.py
15KB
yolov5/benchmarks.py
7.82KB
yolov5/tutorial.ipynb
39.99KB
yolov5/.idea/
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yolov5/classify/val.py
7.89KB
yolov5/classify/predict.py
11.5KB
yolov5/classify/train.py
16.01KB
yolov5/classify/tutorial.ipynb
101.23KB
yolov5/segment/val.py
23.43KB
yolov5/segment/predict.py
15.42KB
yolov5/segment/train.py
33.93KB
yolov5/segment/tutorial.ipynb
42.42KB
yolov5/utils/metrics.py
14.23KB
yolov5/utils/docker/
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yolov5/utils/loggers/
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yolov5/utils/triton.py
3.55KB
yolov5/utils/activations.py
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yolov5/utils/autobatch.py
2.92KB
yolov5/utils/google_app_engine/
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yolov5/utils/dataloaders.py
54.5KB
yolov5/utils/segment/
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yolov5/utils/__init__.py
2.58KB
yolov5/utils/downloads.py
4.83KB
yolov5/utils/loss.py
9.69KB
yolov5/utils/plots.py
18.28KB
yolov5/utils/callbacks.py
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yolov5/utils/aws/
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yolov5/utils/flask_rest_api/
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yolov5/utils/autoanchor.py
7.25KB
yolov5/utils/torch_utils.py
19.18KB
yolov5/utils/general.py
44.64KB
yolov5/utils/augmentations.py
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yolov5/models/yolov5s.yaml
1.37KB
yolov5/models/experimental.py
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yolov5/models/tf.py
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yolov5/models/segment/
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yolov5/models/yolov5l.yaml
1.37KB
yolov5/models/yolov5m.yaml
1.37KB
yolov5/models/__init__.py
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yolov5/models/yolov5x.yaml
1.37KB
yolov5/models/yolov5n.yaml
1.37KB
yolov5/models/common.py
41.06KB
yolov5/models/yolo.py
17.37KB
yolov5/models/hub/
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yolov5/.github/workflows/
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yolov5/.github/PULL_REQUEST_TEMPLATE.md
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yolov5/.github/ISSUE_TEMPLATE/
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yolov5/.github/dependabot.yml
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yolov5/.git/config
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yolov5/.git/objects/
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yolov5/.git/HEAD
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yolov5/.git/info/
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yolov5/.git/logs/
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yolov5/.git/description
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yolov5/.git/hooks/
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yolov5/.git/refs/
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yolov5/.git/index
13.2KB
yolov5/.git/packed-refs
1.78KB
yolov5/data/hyps/
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yolov5/data/coco128.yaml
1.81KB
yolov5/data/coco.yaml
2.44KB
yolov5/data/coco128-seg.yaml
1.83KB
yolov5/data/images/
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yolov5/data/GlobalWheat2020.yaml
1.84KB
yolov5/data/VisDrone.yaml
2.9KB
yolov5/data/SKU-110K.yaml
2.29KB
yolov5/data/Objects365.yaml
8.99KB
yolov5/data/xView.yaml
5.05KB
yolov5/data/scripts/
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yolov5/data/Argoverse.yaml
2.67KB
yolov5/data/ImageNet.yaml
18.43KB
yolov5/data/VOC.yaml
3.41KB
yolov5/.idea/yolov5.iml
441B
yolov5/.idea/inspectionProfiles/
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yolov5/.idea/vcs.xml
180B
yolov5/.idea/.gitignore
47B
yolov5/.idea/workspace.xml
1.79KB
yolov5/.idea/modules.xml
264B
yolov5/utils/docker/Dockerfile-arm64
1.53KB
yolov5/utils/docker/Dockerfile
2.5KB
yolov5/utils/docker/Dockerfile-cpu
1.79KB
yolov5/utils/loggers/__init__.py
16.1KB
yolov5/utils/loggers/comet/
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yolov5/utils/loggers/clearml/
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yolov5/utils/loggers/wandb/
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yolov5/utils/google_app_engine/app.yaml
174B
yolov5/utils/google_app_engine/Dockerfile
821B
yolov5/utils/google_app_engine/additional_requirements.txt
187B
yolov5/utils/segment/metrics.py
5.33KB
yolov5/utils/segment/dataloaders.py
13.51KB
yolov5/utils/segment/__init__.py
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yolov5/utils/segment/loss.py
8.39KB
yolov5/utils/segment/plots.py
6.24KB
yolov5/utils/segment/general.py
5.68KB
yolov5/utils/segment/augmentations.py
3.67KB
yolov5/utils/aws/resume.py
1.17KB
yolov5/utils/aws/userdata.sh
1.22KB
yolov5/utils/aws/__init__.py
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yolov5/utils/aws/mime.sh
780B
yolov5/utils/flask_rest_api/example_request.py
369B
yolov5/utils/flask_rest_api/README.md
1.67KB
yolov5/utils/flask_rest_api/restapi.py
1.41KB
yolov5/models/segment/yolov5s-seg.yaml
1.38KB
yolov5/models/segment/yolov5x-seg.yaml
1.38KB
yolov5/models/segment/yolov5l-seg.yaml
1.38KB
yolov5/models/segment/yolov5m-seg.yaml
1.38KB
yolov5/models/segment/yolov5n-seg.yaml
1.38KB
yolov5/models/hub/anchors.yaml
3.26KB
yolov5/models/hub/yolov5s-ghost.yaml
1.45KB
yolov5/models/hub/yolov5x6.yaml
1.78KB
yolov5/models/hub/yolov3-spp.yaml
1.53KB
yolov5/models/hub/yolov5-panet.yaml
1.38KB
yolov5/models/hub/yolov5-bifpn.yaml
1.39KB
yolov5/models/hub/yolov5-p2.yaml
1.65KB
yolov5/models/hub/yolov5-fpn.yaml
1.19KB
yolov5/models/hub/yolov5s6.yaml
1.78KB
yolov5/models/hub/yolov5l6.yaml
1.78KB
yolov5/models/hub/yolov3-tiny.yaml
1.2KB
yolov5/models/hub/yolov3.yaml
1.52KB
yolov5/models/hub/yolov5n6.yaml
1.78KB
yolov5/models/hub/yolov5-p7.yaml
2.07KB
yolov5/models/hub/yolov5s-LeakyReLU.yaml
1.46KB
yolov5/models/hub/yolov5-p34.yaml
1.32KB
yolov5/models/hub/yolov5m6.yaml
1.78KB
yolov5/models/hub/yolov5s-transformer.yaml
1.41KB
yolov5/models/hub/yolov5-p6.yaml
1.7KB
yolov5/.github/workflows/links.yml
2.03KB
yolov5/.github/workflows/codeql-analysis.yml
2.02KB
yolov5/.github/workflows/stale.yml
2.31KB
yolov5/.github/workflows/translate-readme.yml
708B
yolov5/.github/workflows/greetings.yml
5.38KB
yolov5/.github/workflows/docker.yml
1.67KB
yolov5/.github/workflows/ci-testing.yml
7.52KB
yolov5/.github/ISSUE_TEMPLATE/bug-report.yml
2.85KB
yolov5/.github/ISSUE_TEMPLATE/config.yml
360B
yolov5/.github/ISSUE_TEMPLATE/feature-request.yml
1.74KB
yolov5/.github/ISSUE_TEMPLATE/question.yml
1.12KB
yolov5/.git/objects/pack/
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yolov5/.git/objects/info/
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yolov5/.git/info/exclude
240B
yolov5/.git/logs/HEAD
183B
yolov5/.git/logs/refs/
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yolov5/.git/hooks/commit-msg.sample
896B
yolov5/.git/hooks/pre-rebase.sample
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yolov5/.git/hooks/pre-commit.sample
1.6KB
yolov5/.git/hooks/applypatch-msg.sample
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yolov5/.git/hooks/fsmonitor-watchman.sample
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yolov5/.git/hooks/pre-receive.sample
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yolov5/.git/hooks/prepare-commit-msg.sample
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yolov5/.git/hooks/post-update.sample
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yolov5/.git/hooks/pre-merge-commit.sample
416B
yolov5/.git/hooks/pre-applypatch.sample
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yolov5/.git/hooks/pre-push.sample
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yolov5/.git/hooks/update.sample
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yolov5/.git/hooks/push-to-checkout.sample
2.72KB
yolov5/.git/refs/heads/
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yolov5/.git/refs/tags/
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yolov5/.git/refs/remotes/
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yolov5/data/hyps/hyp.VOC.yaml
1.13KB
yolov5/data/hyps/hyp.Objects365.yaml
674B
yolov5/data/hyps/hyp.no-augmentation.yaml
1.64KB
yolov5/data/hyps/hyp.scratch-low.yaml
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yolov5/data/hyps/hyp.scratch-med.yaml
1.65KB
yolov5/data/hyps/hyp.scratch-high.yaml
1.64KB
yolov5/data/images/zidane.jpg
164.99KB
yolov5/data/images/bus.jpg
476.01KB
yolov5/data/scripts/get_coco.sh
1.53KB
yolov5/data/scripts/get_imagenet.sh
1.63KB
yolov5/data/scripts/download_weights.sh
641B
yolov5/data/scripts/get_coco128.sh
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yolov5/.idea/inspectionProfiles/profiles_settings.xml
174B
yolov5/utils/loggers/comet/optimizer_config.json
2.95KB
yolov5/utils/loggers/comet/__init__.py
18.49KB
yolov5/utils/loggers/comet/comet_utils.py
4.64KB
yolov5/utils/loggers/comet/README.md
10.56KB
yolov5/utils/loggers/comet/hpo.py
6.5KB
yolov5/utils/loggers/clearml/__init__.py
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yolov5/utils/loggers/clearml/README.md
10.61KB
yolov5/utils/loggers/clearml/clearml_utils.py
7.86KB
yolov5/utils/loggers/clearml/hpo.py
5.15KB
yolov5/utils/loggers/wandb/__init__.py
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yolov5/utils/loggers/wandb/wandb_utils.py
8.06KB
yolov5/.git/objects/pack/pack-45687e64e39b3937725dcb25c6d4ad5b7e97c69e.pack
14.69MB
yolov5/.git/objects/pack/pack-45687e64e39b3937725dcb25c6d4ad5b7e97c69e.idx
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yolov5/.git/logs/refs/heads/
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yolov5/.git/logs/refs/remotes/
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yolov5/.git/refs/heads/master
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yolov5/.git/refs/remotes/origin/
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yolov5/.git/logs/refs/heads/master
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yolov5/.git/logs/refs/remotes/origin/
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yolov5/.git/refs/remotes/origin/HEAD
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yolov5/.git/logs/refs/remotes/origin/HEAD
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资源内容介绍

yolov5的标准python代码，其中包括了训练和推理代码。
<div align="center"> <p> <a href="https://yolovision.ultralytics.com/" target="_blank"> <img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/im/banner-yolo-vision-2023.png"></a> <!-- <a align="center" href="https://ultralytics.com/yolov5" target="_blank"> <img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov5/v70/splash.png"></a> --> </p>[English](README.md) | [简体中文](README.zh-CN.md)<br><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> <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 🚀 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"><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://www.instagram.com/ultralytics/"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-instagram.png" width="2%" alt="Ultralytics Instagram"></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 🚀 NEW</div>We are thrilled to announce the launch of Ultralytics YOLOv8 🚀, 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 # video screen # screenshot path/ # directory list.txt # list of images list.streams # list of streams 'path/*.jpg' # glob 'https://youtu.be/LNwODJXcvt4' # YouTube 'rtsp://example.com/media.mp4' # RTSP, RTMP, HTTP stream```</details><details><summary>Training</summary>The commands below reproduce YOLOv5 [COCO](https://github.com/ultralytics/yolov5/blob/master/data/scripts/get_coco.sh)results. [Models](https://github.com/ultralytics/yolov5/tree/master/models)and [datasets](https://github.com/ultralytics/yolov5/

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