Yolov11最新的源码文件包含(训练,转化,推理)脚本文件

上传者: 65356682 | 上传时间: 2025-07-15 11:11:03 | 文件大小: 16.57MB | 文件类型: RAR
ultralvtics发布了最新的作品YOLOv11,这一次YOLOv11的变化相对于ultralvtics公司的上一代作品YOLOv8变化不是很大的 (YOLOv9YOLOv10均不是uitralyics公司作品),其中改变的位置涉及到C21变为C3K2,在SPPF后面加了一层类似于注意力机制的C2PSA,还有一个变化大家从yaml文件是看不出来的就是它的检测头内部替换了两个DWConv,以及模型的深度和宽度参数进行了大幅度调整,但是在损失函数方面就没有变化还是采用的CIoU作为边界框回归损失,下面带大家深入理解一下ultralytics最新作品YOLOv11的创新点。

文件下载

资源详情

[{"title":"( 794 个子文件 16.57MB ) Yolov11最新的源码文件包含(训练,转化,推理)脚本文件","children":[{"title":"main.cc <span style='color:#111;'> 10.39KB </span>","children":null,"spread":false},{"title":"inference.cc <span style='color:#111;'> 7.05KB </span>","children":null,"spread":false},{"title":"main.cc <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"CITATION.cff <span style='color:#111;'> 764B </span>","children":null,"spread":false},{"title":"CNAME <span style='color:#111;'> 21B </span>","children":null,"spread":false},{"title":"inference.cpp <span style='color:#111;'> 13.00KB </span>","children":null,"spread":false},{"title":"inference.cpp <span style='color:#111;'> 5.50KB </span>","children":null,"spread":false},{"title":"main.cpp <span style='color:#111;'> 5.45KB </span>","children":null,"spread":false},{"title":"main.cpp <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"style.css <span style='color:#111;'> 5.43KB </span>","children":null,"spread":false},{"title":"Dockerfile <span style='color:#111;'> 4.06KB </span>","children":null,"spread":false},{"title":"Dockerfile-arm64 <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false},{"title":"Dockerfile-conda <span style='color:#111;'> 2.11KB </span>","children":null,"spread":false},{"title":"Dockerfile-cpu <span style='color:#111;'> 2.53KB </span>","children":null,"spread":false},{"title":"Dockerfile-jetson-jetpack4 <span style='color:#111;'> 3.32KB </span>","children":null,"spread":false},{"title":"Dockerfile-jetson-jetpack5 <span style='color:#111;'> 2.89KB </span>","children":null,"spread":false},{"title":"Dockerfile-jetson-jetpack6 <span style='color:#111;'> 2.62KB </span>","children":null,"spread":false},{"title":"Dockerfile-python <span style='color:#111;'> 2.47KB </span>","children":null,"spread":false},{"title":"Dockerfile-runner <span style='color:#111;'> 1.86KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 50B </span>","children":null,"spread":false},{"title":"inference.h <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false},{"title":"inference.h <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false},{"title":"inference.h <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false},{"title":"comments.html <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"main.html <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"source-file.html <span style='color:#111;'> 858B </span>","children":null,"spread":false},{"title":"favicon.ico <span style='color:#111;'> 9.44KB </span>","children":null,"spread":false},{"title":"ultralytics-8.3.2.iml <span style='color:#111;'> 608B </span>","children":null,"spread":false},{"title":"tutorial.ipynb <span style='color:#111;'> 36.38KB </span>","children":null,"spread":false},{"title":"explorer.ipynb <span style='color:#111;'> 20.45KB </span>","children":null,"spread":false},{"title":"object_tracking.ipynb <span style='color:#111;'> 12.19KB </span>","children":null,"spread":false},{"title":"object_counting.ipynb <span style='color:#111;'> 11.88KB </span>","children":null,"spread":false},{"title":"heatmaps.ipynb <span style='color:#111;'> 10.31KB </span>","children":null,"spread":false},{"title":"hub.ipynb <span style='color:#111;'> 4.82KB </span>","children":null,"spread":false},{"title":"bus.jpg <span style='color:#111;'> 134.20KB </span>","children":null,"spread":false},{"title":"zidane.jpg <span style='color:#111;'> 49.25KB </span>","children":null,"spread":false},{"title":"extra.js <span style='color:#111;'> 3.12KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 33.71KB </span>","children":null,"spread":false},{"title":"predict.md <span style='color:#111;'> 44.08KB </span>","children":null,"spread":false},{"title":"tensorrt.md <span style='color:#111;'> 37.22KB </span>","children":null,"spread":false},{"title":"openvino.md <span style='color:#111;'> 33.36KB </span>","children":null,"spread":false},{"title":"ros-quickstart.md <span style='color:#111;'> 33.28KB </span>","children":null,"spread":false},{"title":"nvidia-jetson.md <span style='color:#111;'> 30.25KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 29.62KB </span>","children":null,"spread":false},{"title":"README.zh-CN.md <span style='color:#111;'> 29.18KB </span>","children":null,"spread":false},{"title":"model-deployment-options.md <span style='color:#111;'> 26.54KB </span>","children":null,"spread":false},{"title":"yolo-world.md <span style='color:#111;'> 24.25KB </span>","children":null,"spread":false},{"title":"raspberry-pi.md <span style='color:#111;'> 23.46KB </span>","children":null,"spread":false},{"title":"yolov8.md <span style='color:#111;'> 23.35KB </span>","children":null,"spread":false},{"title":"quickstart.md <span style='color:#111;'> 23.34KB </span>","children":null,"spread":false},{"title":"ibm-watsonx.md <span style='color:#111;'> 22.99KB </span>","children":null,"spread":false},{"title":"steps-of-a-cv-project.md <span style='color:#111;'> 22.91KB </span>","children":null,"spread":false},{"title":"yolo11.md <span style='color:#111;'> 21.83KB </span>","children":null,"spread":false},{"title":"yolov10.md <span style='color:#111;'> 20.86KB </span>","children":null,"spread":false},{"title":"track.md <span style='color:#111;'> 20.77KB </span>","children":null,"spread":false},{"title":"simple-utilities.md <span style='color:#111;'> 20.66KB </span>","children":null,"spread":false},{"title":"sam-2.md <span style='color:#111;'> 20.48KB </span>","children":null,"spread":false},{"title":"yolo-common-issues.md <span style='color:#111;'> 20.44KB </span>","children":null,"spread":false},{"title":"model-training-tips.md <span style='color:#111;'> 19.87KB </span>","children":null,"spread":false},{"title":"roboflow.md <span style='color:#111;'> 19.72KB </span>","children":null,"spread":false},{"title":"analytics.md <span style='color:#111;'> 19.58KB </span>","children":null,"spread":false},{"title":"train_custom_data.md <span style='color:#111;'> 19.24KB </span>","children":null,"spread":false},{"title":"heatmaps.md <span style='color:#111;'> 19.09KB </span>","children":null,"spread":false},{"title":"model-deployment-practices.md <span style='color:#111;'> 18.79KB </span>","children":null,"spread":false},{"title":"model-monitoring-and-maintenance.md <span style='color:#111;'> 18.53KB </span>","children":null,"spread":false},{"title":"yolov9.md <span style='color:#111;'> 18.17KB </span>","children":null,"spread":false},{"title":"models.md <span style='color:#111;'> 18.14KB </span>","children":null,"spread":false},{"title":"vscode.md <span style='color:#111;'> 17.96KB </span>","children":null,"spread":false},{"title":"yolov7.md <span style='color:#111;'> 17.93KB </span>","children":null,"spread":false},{"title":"data-collection-and-annotation.md <span style='color:#111;'> 17.91KB </span>","children":null,"spread":false},{"title":"object-counting.md <span style='color:#111;'> 17.72KB </span>","children":null,"spread":false},{"title":"inference-api.md <span style='color:#111;'> 17.57KB </span>","children":null,"spread":false},{"title":"isolating-segmentation-objects.md <span style='color:#111;'> 17.50KB </span>","children":null,"spread":false},{"title":"train.md <span style='color:#111;'> 17.22KB </span>","children":null,"spread":false},{"title":"cfg.md <span style='color:#111;'> 16.55KB </span>","children":null,"spread":false},{"title":"ray-tune.md <span style='color:#111;'> 16.20KB </span>","children":null,"spread":false},{"title":"sam.md <span style='color:#111;'> 16.13KB </span>","children":null,"spread":false},{"title":"CI.md <span style='color:#111;'> 15.78KB </span>","children":null,"spread":false},{"title":"model-testing.md <span style='color:#111;'> 15.57KB </span>","children":null,"spread":false},{"title":"kfold-cross-validation.md <span style='color:#111;'> 15.37KB </span>","children":null,"spread":false},{"title":"yolo-performance-metrics.md <span style='color:#111;'> 15.23KB </span>","children":null,"spread":false},{"title":"fast-sam.md <span style='color:#111;'> 15.06KB </span>","children":null,"spread":false},{"title":"amazon-sagemaker.md <span style='color:#111;'> 15.01KB </span>","children":null,"spread":false},{"title":"index.md <span style='color:#111;'> 15.01KB </span>","children":null,"spread":false},{"title":"defining-project-goals.md <span style='color:#111;'> 15.00KB </span>","children":null,"spread":false},{"title":"model_export.md <span style='color:#111;'> 14.93KB </span>","children":null,"spread":false},{"title":"python.md <span style='color:#111;'> 14.90KB </span>","children":null,"spread":false},{"title":"pytorch_hub_model_loading.md <span style='color:#111;'> 14.62KB </span>","children":null,"spread":false},{"title":"preprocessing_annotated_data.md <span style='color:#111;'> 14.49KB </span>","children":null,"spread":false},{"title":"jupyterlab.md <span style='color:#111;'> 14.42KB </span>","children":null,"spread":false},{"title":"model-evaluation-insights.md <span style='color:#111;'> 14.36KB </span>","children":null,"spread":false},{"title":"tensorboard.md <span style='color:#111;'> 14.32KB </span>","children":null,"spread":false},{"title":"train-args.md <span style='color:#111;'> 14.06KB </span>","children":null,"spread":false},{"title":"api.md <span style='color:#111;'> 14.02KB </span>","children":null,"spread":false},{"title":"yolov5.md <span style='color:#111;'> 13.77KB </span>","children":null,"spread":false},{"title":"clearml.md <span style='color:#111;'> 13.64KB </span>","children":null,"spread":false},{"title":"kaggle.md <span style='color:#111;'> 13.61KB </span>","children":null,"spread":false},{"title":"index.md <span style='color:#111;'> 13.59KB </span>","children":null,"spread":false},{"title":"hyperparameter-tuning.md <span style='color:#111;'> 13.55KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明