下载资源人工智能资源详情
ultralytics-main.zip
大小:953.25KB
价格:40积分
下载量:0
评分:
5.0
上传者:qq_26938321
更新日期:2025-09-22

目标检测+yolov8+源码+运行调试

资源文件列表(大概)

文件名
大小
ultralytics-main/
-
ultralytics-main/.github/
-
ultralytics-main/.github/ISSUE_TEMPLATE/
-
ultralytics-main/.github/ISSUE_TEMPLATE/bug-report.yml
2.89KB
ultralytics-main/.github/ISSUE_TEMPLATE/config.yml
387B
ultralytics-main/.github/ISSUE_TEMPLATE/feature-request.yml
1.78KB
ultralytics-main/.github/ISSUE_TEMPLATE/question.yml
1.14KB
ultralytics-main/.github/dependabot.yml
764B
ultralytics-main/.github/translate-readme.yml
700B
ultralytics-main/.github/workflows/
-
ultralytics-main/.github/workflows/ci.yaml
4.49KB
ultralytics-main/.github/workflows/cla.yml
1.37KB
ultralytics-main/.github/workflows/docker.yaml
1.53KB
ultralytics-main/.gitignore
2.05KB
ultralytics-main/.pre-commit-config.yaml
1.56KB
ultralytics-main/CITATION.cff
611B
ultralytics-main/CONTRIBUTING.md
5.48KB
ultralytics-main/LICENSE
34.33KB
ultralytics-main/MANIFEST.in
108B
ultralytics-main/README.md
21.07KB
ultralytics-main/README.zh-CN.md
20.02KB
ultralytics-main/docker/
-
ultralytics-main/docker/Dockerfile
2.42KB
ultralytics-main/docker/Dockerfile-arm64
1.72KB
ultralytics-main/docker/Dockerfile-cpu
1.71KB
ultralytics-main/docs/
-
ultralytics-main/docs/CNAME
20B
ultralytics-main/docs/README.md
3.66KB
ultralytics-main/docs/app.md
1.33KB
ultralytics-main/docs/assets/
-
ultralytics-main/docs/assets/favicon.ico
5.3KB
ultralytics-main/docs/cli.md
3.15KB
ultralytics-main/docs/config.md
16.77KB
ultralytics-main/docs/engine.md
2.52KB
ultralytics-main/docs/hub.md
4.62KB
ultralytics-main/docs/index.md
5.28KB
ultralytics-main/docs/python.md
3.9KB
ultralytics-main/docs/quickstart.md
2.62KB
ultralytics-main/docs/reference/
-
ultralytics-main/docs/reference/base_pred.md
275B
ultralytics-main/docs/reference/base_trainer.md
278B
ultralytics-main/docs/reference/base_val.md
274B
ultralytics-main/docs/reference/exporter.md
72B
ultralytics-main/docs/reference/model.md
34B
ultralytics-main/docs/reference/nn.md
459B
ultralytics-main/docs/reference/ops.md
2.83KB
ultralytics-main/docs/stylesheets/
-
ultralytics-main/docs/stylesheets/style.css
684B
ultralytics-main/docs/tasks/
-
ultralytics-main/docs/tasks/classification.md
5.48KB
ultralytics-main/docs/tasks/detection.md
5.48KB
ultralytics-main/docs/tasks/segmentation.md
5.56KB
ultralytics-main/examples/
-
ultralytics-main/examples/tutorial.ipynb
41.95KB
ultralytics-main/mkdocs.yml
2.23KB
ultralytics-main/requirements.txt
1.16KB
ultralytics-main/setup.cfg
1.69KB
ultralytics-main/setup.py
2.35KB
ultralytics-main/tests/
-
ultralytics-main/tests/test_cli.py
1.9KB
ultralytics-main/tests/test_engine.py
2.88KB
ultralytics-main/tests/test_python.py
2.78KB
ultralytics-main/ultralytics/
-
ultralytics-main/ultralytics/__init__.py
271B
ultralytics-main/ultralytics/assets/
-
ultralytics-main/ultralytics/assets/bus.jpg
476.01KB
ultralytics-main/ultralytics/assets/zidane.jpg
164.99KB
ultralytics-main/ultralytics/hub/
-
ultralytics-main/ultralytics/hub/__init__.py
5.09KB
ultralytics-main/ultralytics/hub/auth.py
2.42KB
ultralytics-main/ultralytics/hub/session.py
4.48KB
ultralytics-main/ultralytics/hub/utils.py
6.5KB
ultralytics-main/ultralytics/models/
-
ultralytics-main/ultralytics/models/README.md
1.83KB
ultralytics-main/ultralytics/models/v3/
-
ultralytics-main/ultralytics/models/v3/yolov3-spp.yaml
1.4KB
ultralytics-main/ultralytics/models/v3/yolov3-tiny.yaml
1.11KB
ultralytics-main/ultralytics/models/v3/yolov3.yaml
1.39KB
ultralytics-main/ultralytics/models/v5/
-
ultralytics-main/ultralytics/models/v5/yolov5l.yaml
1.24KB
ultralytics-main/ultralytics/models/v5/yolov5m.yaml
1.24KB
ultralytics-main/ultralytics/models/v5/yolov5n.yaml
1.24KB
ultralytics-main/ultralytics/models/v5/yolov5s.yaml
1.24KB
ultralytics-main/ultralytics/models/v5/yolov5x.yaml
1.24KB
ultralytics-main/ultralytics/models/v8/
-
ultralytics-main/ultralytics/models/v8/cls/
-
ultralytics-main/ultralytics/models/v8/cls/yolov8l-cls.yaml
629B
ultralytics-main/ultralytics/models/v8/cls/yolov8m-cls.yaml
629B
ultralytics-main/ultralytics/models/v8/cls/yolov8n-cls.yaml
629B
ultralytics-main/ultralytics/models/v8/cls/yolov8s-cls.yaml
629B
ultralytics-main/ultralytics/models/v8/cls/yolov8x-cls.yaml
629B
ultralytics-main/ultralytics/models/v8/seg/
-
ultralytics-main/ultralytics/models/v8/seg/yolov8l-seg.yaml
1.18KB
ultralytics-main/ultralytics/models/v8/seg/yolov8m-seg.yaml
1.18KB
ultralytics-main/ultralytics/models/v8/seg/yolov8n-seg.yaml
1.18KB
ultralytics-main/ultralytics/models/v8/seg/yolov8s-seg.yaml
1.18KB
ultralytics-main/ultralytics/models/v8/seg/yolov8x-seg.yaml
1.18KB
ultralytics-main/ultralytics/models/v8/yolov8l.yaml
1.17KB
ultralytics-main/ultralytics/models/v8/yolov8m.yaml
1.17KB
ultralytics-main/ultralytics/models/v8/yolov8n.yaml
1.17KB
ultralytics-main/ultralytics/models/v8/yolov8s.yaml
1.17KB
ultralytics-main/ultralytics/models/v8/yolov8x.yaml
1.17KB
ultralytics-main/ultralytics/models/v8/yolov8x6.yaml
1.53KB
ultralytics-main/ultralytics/nn/
-
ultralytics-main/ultralytics/nn/__init__.py
-
ultralytics-main/ultralytics/nn/autobackend.py
19.89KB
ultralytics-main/ultralytics/nn/modules.py
29.32KB
ultralytics-main/ultralytics/nn/tasks.py
18.16KB
ultralytics-main/ultralytics/yolo/
-
ultralytics-main/ultralytics/yolo/__init__.py
59B
ultralytics-main/ultralytics/yolo/cli.py
1.83KB
ultralytics-main/ultralytics/yolo/configs/
-
ultralytics-main/ultralytics/yolo/configs/__init__.py
1.17KB
ultralytics-main/ultralytics/yolo/configs/default.yaml
5.34KB
ultralytics-main/ultralytics/yolo/configs/hydra_patch.py
3.67KB
ultralytics-main/ultralytics/yolo/data/
-
ultralytics-main/ultralytics/yolo/data/__init__.py
262B
ultralytics-main/ultralytics/yolo/data/augment.py
29.99KB
ultralytics-main/ultralytics/yolo/data/base.py
8.35KB
ultralytics-main/ultralytics/yolo/data/build.py
4.85KB
ultralytics-main/ultralytics/yolo/data/dataloaders/
-
ultralytics-main/ultralytics/yolo/data/dataloaders/__init__.py
-
ultralytics-main/ultralytics/yolo/data/dataloaders/stream_loaders.py
11.02KB
ultralytics-main/ultralytics/yolo/data/dataloaders/v5augmentations.py
16.84KB
ultralytics-main/ultralytics/yolo/data/dataloaders/v5loader.py
54.05KB
ultralytics-main/ultralytics/yolo/data/dataset.py
9.32KB
ultralytics-main/ultralytics/yolo/data/dataset_wrappers.py
1.3KB
ultralytics-main/ultralytics/yolo/data/datasets/
-
ultralytics-main/ultralytics/yolo/data/datasets/Argoverse.yaml
2.66KB
ultralytics-main/ultralytics/yolo/data/datasets/GlobalWheat2020.yaml
1.84KB
ultralytics-main/ultralytics/yolo/data/datasets/ImageNet.yaml
18.42KB
ultralytics-main/ultralytics/yolo/data/datasets/Objects365.yaml
8.98KB
ultralytics-main/ultralytics/yolo/data/datasets/SKU-110K.yaml
2.28KB
ultralytics-main/ultralytics/yolo/data/datasets/VOC.yaml
3.41KB
ultralytics-main/ultralytics/yolo/data/datasets/VisDrone.yaml
2.9KB
ultralytics-main/ultralytics/yolo/data/datasets/coco.yaml
2.43KB
ultralytics-main/ultralytics/yolo/data/datasets/coco128-seg.yaml
1.82KB
ultralytics-main/ultralytics/yolo/data/datasets/coco128.yaml
1.8KB
ultralytics-main/ultralytics/yolo/data/datasets/xView.yaml
5.04KB
ultralytics-main/ultralytics/yolo/data/scripts/
-
ultralytics-main/ultralytics/yolo/data/scripts/download_weights.sh
635B
ultralytics-main/ultralytics/yolo/data/scripts/get_coco.sh
1.68KB
ultralytics-main/ultralytics/yolo/data/scripts/get_coco128.sh
613B
ultralytics-main/ultralytics/yolo/data/scripts/get_imagenet.sh
1.63KB
ultralytics-main/ultralytics/yolo/data/utils.py
13.11KB
ultralytics-main/ultralytics/yolo/engine/
-
ultralytics-main/ultralytics/yolo/engine/__init__.py
-
ultralytics-main/ultralytics/yolo/engine/exporter.py
39.35KB
ultralytics-main/ultralytics/yolo/engine/model.py
8.45KB
ultralytics-main/ultralytics/yolo/engine/predictor.py
11.65KB
ultralytics-main/ultralytics/yolo/engine/trainer.py
24.8KB
ultralytics-main/ultralytics/yolo/engine/validator.py
8.79KB
ultralytics-main/ultralytics/yolo/utils/
-
ultralytics-main/ultralytics/yolo/utils/__init__.py
13.49KB
ultralytics-main/ultralytics/yolo/utils/autobatch.py
2.94KB
ultralytics-main/ultralytics/yolo/utils/callbacks/
-
ultralytics-main/ultralytics/yolo/utils/callbacks/__init__.py
63B
ultralytics-main/ultralytics/yolo/utils/callbacks/base.py
3.11KB
ultralytics-main/ultralytics/yolo/utils/callbacks/clearml.py
1.83KB
ultralytics-main/ultralytics/yolo/utils/callbacks/comet.py
1.56KB
ultralytics-main/ultralytics/yolo/utils/callbacks/hub.py
2.54KB
ultralytics-main/ultralytics/yolo/utils/callbacks/tensorboard.py
723B
ultralytics-main/ultralytics/yolo/utils/checks.py
9.87KB
ultralytics-main/ultralytics/yolo/utils/dist.py
2.22KB
ultralytics-main/ultralytics/yolo/utils/downloads.py
6.33KB
ultralytics-main/ultralytics/yolo/utils/files.py
3.73KB
ultralytics-main/ultralytics/yolo/utils/instance.py
11.09KB
ultralytics-main/ultralytics/yolo/utils/loss.py
2.09KB
ultralytics-main/ultralytics/yolo/utils/metrics.py
22.14KB
ultralytics-main/ultralytics/yolo/utils/ops.py
26.65KB
ultralytics-main/ultralytics/yolo/utils/plotting.py
14.3KB
ultralytics-main/ultralytics/yolo/utils/tal.py
9.36KB
ultralytics-main/ultralytics/yolo/utils/torch_utils.py
15.41KB
ultralytics-main/ultralytics/yolo/v8/
-
ultralytics-main/ultralytics/yolo/v8/__init__.py
296B
ultralytics-main/ultralytics/yolo/v8/classify/
-
ultralytics-main/ultralytics/yolo/v8/classify/__init__.py
274B
ultralytics-main/ultralytics/yolo/v8/classify/predict.py
2.47KB
ultralytics-main/ultralytics/yolo/v8/classify/train.py
6.34KB
ultralytics-main/ultralytics/yolo/v8/classify/val.py
2.05KB
ultralytics-main/ultralytics/yolo/v8/detect/
-
ultralytics-main/ultralytics/yolo/v8/detect/__init__.py
175B
ultralytics-main/ultralytics/yolo/v8/detect/predict.py
3.95KB
ultralytics-main/ultralytics/yolo/v8/detect/train.py
9.51KB
ultralytics-main/ultralytics/yolo/v8/detect/val.py
11.55KB
ultralytics-main/ultralytics/yolo/v8/segment/
-
ultralytics-main/ultralytics/yolo/v8/segment/__init__.py
184B
ultralytics-main/ultralytics/yolo/v8/segment/predict.py
4.76KB
ultralytics-main/ultralytics/yolo/v8/segment/train.py
6.93KB
ultralytics-main/ultralytics/yolo/v8/segment/val.py
12.07KB

资源内容介绍

yolov8源码+yolov8调试运行
<div align="center"> <p> <a align="center" href="https://ultralytics.com/yolov8" target="_blank"> <img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"></a> </p>[English](README.md) | [简体中文](README.zh-CN.md)<br><div> <a href="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml"><img src="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml/badge.svg" alt="Ultralytics CI"></a> <a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="YOLOv8 Citation"></a> <a href="https://hub.docker.com/r/ultralytics/ultralytics"><img src="https://img.shields.io/docker/pulls/ultralytics/ultralytics?logo=docker" alt="Docker Pulls"></a> <br> <a href="https://console.paperspace.com/github/ultralytics/ultralytics"><img src="https://assets.paperspace.io/img/gradient-badge.svg" alt="Run on Gradient"/></a> <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/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/yolov8"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a> </div> <br>[Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics), developed by [Ultralytics](https://ultralytics.com),is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introducesnew features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, andeasy to use, making it an excellent choice for a wide range of object detection, image segmentation and imageclassification tasks.To request an Enterprise License please complete the form at [Ultralytics Licensing](https://ultralytics.com/license).<img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/yolo-comparison-plots.png"></a><div align="center"> <a href="https://github.com/ultralytics" style="text-decoration:none;"> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" /> <a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;"> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="" /></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" /> <a href="https://twitter.com/ultralytics" style="text-decoration:none;"> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-twitter.png" width="2%" alt="" /></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" /> <a href="https://www.producthunt.com/@glenn_jocher" style="text-decoration:none;"> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-producthunt.png" width="2%" alt="" /></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" /> <a href="https://youtube.com/ultralytics" style="text-decoration:none;"> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-youtube.png" width="2%" alt="" /></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" /> <a href="https://www.facebook.com/ultralytics" style="text-decoration:none;"> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-facebook.png" width="2%" alt="" /></a> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" /> <a href="https://www.instagram.com/ultralytics/" style="text-decoration:none;"> <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-instagram.png" width="2%" alt="" /></a> </div></div>## <div align="center">Documentation</div>See below for a quickstart installation and usage example, and see the [YOLOv8 Docs](https://docs.ultralytics.com) for fulldocumentation on training, validation, prediction and deployment.<details open><summary>Install</summary>Pip install the ultralytics package includingall [requirements.txt](https://github.com/ultralytics/ultralytics/blob/main/requirements.txt) in a[**Python>=3.7.0**](https://www.python.org/) environment, including[**PyTorch>=1.7**](https://pytorch.org/get-started/locally/).```bashpip install ultralytics```</details><details open><summary>Usage</summary>YOLOv8 may be used directly in the Command Line Interface (CLI) with a `yolo` command:```bashyolo task=detect mode=predict model=yolov8n.pt source="https://ultralytics.com/images/bus.jpg"````yolo` can be used for a variety of tasks and modes and accepts additional arguments, i.e. `imgsz=640`. See a full listof available `yolo` [arguments](https://docs.ultralytics.com/config/) in theYOLOv8 [Docs](https://docs.ultralytics.com).```bashyolo task=detect mode=train model=yolov8n.pt args... classify predict yolov8n-cls.yaml args... segment val yolov8n-seg.yaml args... export yolov8n.pt format=onnx args...```YOLOv8 may also be used directly in a Python environment, and accepts thesame [arguments](https://docs.ultralytics.com/config/) as in the CLI example above:```pythonfrom ultralytics import YOLO# Load a modelmodel = YOLO("yolov8n.yaml") # build a new model from scratchmodel = YOLO("yolov8n.pt") # load a pretrained model (recommended for training)# Use the modelresults = model.train(data="coco128.yaml", epochs=3) # train the modelresults = model.val() # evaluate model performance on the validation setresults = model("https://ultralytics.com/images/bus.jpg") # predict on an imagesuccess = model.export(format="onnx") # export the model to ONNX format```[Models](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models) download automatically from the latestUltralytics [release](https://github.com/ultralytics/assets/releases).### Known Issues / TODOsWe are still working on several parts of YOLOv8! We aim to have these completed soon to bring the YOLOv8 feature set upto par with YOLOv5, including export and inference to all the same formats. We are also writing a YOLOv8 paper which wewill submit to [arxiv.org](https://arxiv.org) once complete.- [ ] TensorFlow exports- [ ] DDP resume- [ ] [arxiv.org](https://arxiv.org) paper</details>## <div align="center">Models</div>All YOLOv8 pretrained models are available here. Detection and Segmentation models are pretrained on the COCO dataset,while Classification models are pretrained on the ImageNet dataset.[Models](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models) download automatically from the latestUltralytics [release](https://github.com/ultralytics/assets/releases) on first use.<details open><summary>Detection</summary>See [Detection Docs](https://docs.ultralytics.com/tasks/detection/) for usage examples with these models.| Model | size<br><sup>(pixels) | mAP<sup>val<br>50-95 | Speed<br><sup>CPU ONNX<br>(ms) | Speed<br><sup>A100 TensorRT<br>(ms) | params<br><sup>(M) | FLOPs<br><sup>(B) || ------------------------------------------------------------------------------------ | --------------------- | -------------------- | ------------------------------ | ----------------------------------- | ------------------ | ----------------- || [YOLOv8n](https://github.com/ultralytics/asset

用户评论 (0)

发表评论

captcha

相关资源

基于ZYNQ平台LWIP裸核UDP实验-带完整工程-免费的不要积分

本文是在参考了FPGADesigner大神的文章-https://blog.csdn.net/FPGADesigner/article/details/88746532，在黑金AX7021开发板上实验成功，里面包含完整的工程，基于vivado2017.4开发，

8.88MB16积分

自定义日历控件

这是一个自定义日历的控件，使用的手势GestureDetector和ViewFlipper，介绍请参考:http://blog.csdn.net/forwardyzk/article/details/43056675

1.78MB37积分

java实现简易社团管理系统.zip

简易社团管理系统包括社团事务管理，基础申请，学生信息管理，密码管理功能，通过java和mysql实现（里面包括源码和数据库文件）

122.55KB26积分

MQTTBox，windows版本，本资源已被作者开源，开放免费下载，不收取积分

MQTTBox，windows版本，本资源已被作者开源，开放免费下载，不收取积分

29.35MB14积分