ZIPyolo数据集制作与简单模型训练 67.05MB

weixin_61367946

资源文件列表:

plus.zip 大约有1237个文件
  1. plus/
  2. plus/1.py 266B
  3. plus/converted_images/
  4. plus/datasets/
  5. plus/datasets/before/
  6. plus/datasets/before/1.jpg 61.02KB
  7. plus/datasets/before/1.json 83.78KB
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  46. plus/datasets/image1/
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  66. plus/datasets/JPEGImages/
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  68. plus/datasets/JPEGImages/10.jpg 52.81KB
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  73. plus/datasets/JPEGImages/15.jpg 48.75KB
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  75. plus/datasets/JPEGImages/17.jpg 21.5KB
  76. plus/datasets/JPEGImages/18.jpg 68.31KB
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  78. plus/datasets/JPEGImages/2.jpg 44.05KB
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  87. plus/datasets/labels/
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  89. plus/datasets/labels/10.txt 79B
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  91. plus/datasets/labels/12.txt 27B
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  107. plus/datasets/labels/9.txt 61B
  108. plus/datasets/labels1/
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  117. plus/datasets/labels2/
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  128. plus/datasets/mask/
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  149. plus/datasets/SegmentationClass/
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  170. plus/datasets/spilt_data/
  171. plus/datasets/spilt_data/test/
  172. plus/datasets/spilt_data/test/images/
  173. plus/datasets/spilt_data/test/images/15.jpg 48.75KB
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  175. plus/datasets/spilt_data/test/labels/
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  177. plus/datasets/spilt_data/test/labels/17.txt 53B
  178. plus/datasets/spilt_data/train/
  179. plus/datasets/spilt_data/train/images/
  180. plus/datasets/spilt_data/train/images/1.jpg 61.02KB
  181. plus/datasets/spilt_data/train/images/10.jpg 52.81KB
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  196. plus/datasets/spilt_data/train/labels/
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  198. plus/datasets/spilt_data/train/labels/10.txt 79B
  199. plus/datasets/spilt_data/train/labels/11.txt 53B
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  213. plus/datasets/spilt_data/val/
  214. plus/datasets/spilt_data/val/images/
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  217. plus/datasets/spilt_data/val/labels/
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  220. plus/Images/
  221. plus/Images/Segment_Images/
  222. plus/Images/Segment_Images/label_txt/
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  243. plus/json_to_data(mask).py 4.21KB
  244. plus/json_to_dataset.py 3.25KB
  245. plus/mask_to_yolo2.py 1.75KB
  246. plus/mask_to_yolo3(single).py 3.62KB
  247. plus/mask_to_yolotxt.py 2.02KB
  248. plus/RGBA_to_RGB.py 1.4KB
  249. plus/spilt.py 3.15KB
  250. plus/sutady1.py 1.89KB
  251. YOLO/
  252. YOLO/Annotations/
  253. YOLO/JPEGlmages/
  254. YOLO/Models/
  255. YOLO/requirements.txt 1.12KB
  256. YOLO/ultralytics/
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  1170. YOLO/ultralytics/ultralytics/trackers/
  1171. YOLO/ultralytics/ultralytics/trackers/basetrack.py 4.32KB
  1172. YOLO/ultralytics/ultralytics/trackers/bot_sort.py 10.25KB
  1173. YOLO/ultralytics/ultralytics/trackers/byte_tracker.py 20.33KB
  1174. YOLO/ultralytics/ultralytics/trackers/README.md 13.21KB
  1175. YOLO/ultralytics/ultralytics/trackers/track.py 3.78KB
  1176. YOLO/ultralytics/ultralytics/trackers/utils/
  1177. YOLO/ultralytics/ultralytics/trackers/utils/gmc.py 14.22KB
  1178. YOLO/ultralytics/ultralytics/trackers/utils/kalman_filter.py 20.85KB
  1179. YOLO/ultralytics/ultralytics/trackers/utils/matching.py 6.99KB
  1180. YOLO/ultralytics/ultralytics/trackers/utils/__init__.py 42B
  1181. YOLO/ultralytics/ultralytics/trackers/__init__.py 227B
  1182. YOLO/ultralytics/ultralytics/utils/
  1183. YOLO/ultralytics/ultralytics/utils/autobatch.py 4.49KB
  1184. YOLO/ultralytics/ultralytics/utils/benchmarks.py 25.19KB
  1185. YOLO/ultralytics/ultralytics/utils/callbacks/
  1186. YOLO/ultralytics/ultralytics/utils/callbacks/base.py 5.64KB
  1187. YOLO/ultralytics/ultralytics/utils/callbacks/clearml.py 5.79KB
  1188. YOLO/ultralytics/ultralytics/utils/callbacks/comet.py 14.67KB
  1189. YOLO/ultralytics/ultralytics/utils/callbacks/dvc.py 4.93KB
  1190. YOLO/ultralytics/ultralytics/utils/callbacks/hub.py 3.9KB
  1191. YOLO/ultralytics/ultralytics/utils/callbacks/mlflow.py 5.27KB
  1192. YOLO/ultralytics/ultralytics/utils/callbacks/neptune.py 3.72KB
  1193. YOLO/ultralytics/ultralytics/utils/callbacks/raytune.py 700B
  1194. YOLO/ultralytics/ultralytics/utils/callbacks/tensorboard.py 4.07KB
  1195. YOLO/ultralytics/ultralytics/utils/callbacks/wb.py 6.71KB
  1196. YOLO/ultralytics/ultralytics/utils/callbacks/__init__.py 214B
  1197. YOLO/ultralytics/ultralytics/utils/callbacks/__pycache__/
  1198. YOLO/ultralytics/ultralytics/utils/callbacks/__pycache__/base.cpython-310.pyc 5.43KB
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  1200. YOLO/ultralytics/ultralytics/utils/callbacks/__pycache__/__init__.cpython-310.pyc 290B
  1201. YOLO/ultralytics/ultralytics/utils/checks.py 28.89KB
  1202. YOLO/ultralytics/ultralytics/utils/dist.py 2.3KB
  1203. YOLO/ultralytics/ultralytics/utils/downloads.py 21.46KB
  1204. YOLO/ultralytics/ultralytics/utils/errors.py 816B
  1205. YOLO/ultralytics/ultralytics/utils/files.py 8.03KB
  1206. YOLO/ultralytics/ultralytics/utils/instance.py 15.87KB
  1207. YOLO/ultralytics/ultralytics/utils/loss.py 33.37KB
  1208. YOLO/ultralytics/ultralytics/utils/metrics.py 52.65KB
  1209. YOLO/ultralytics/ultralytics/utils/ops.py 32.12KB
  1210. YOLO/ultralytics/ultralytics/utils/patches.py 3.19KB
  1211. YOLO/ultralytics/ultralytics/utils/plotting.py 59.66KB
  1212. YOLO/ultralytics/ultralytics/utils/tal.py 18.04KB
  1213. YOLO/ultralytics/ultralytics/utils/torch_utils.py 31.32KB
  1214. YOLO/ultralytics/ultralytics/utils/triton.py 3.84KB
  1215. YOLO/ultralytics/ultralytics/utils/tuner.py 6.05KB
  1216. YOLO/ultralytics/ultralytics/utils/__init__.py 48.01KB
  1217. YOLO/ultralytics/ultralytics/utils/__pycache__/
  1218. YOLO/ultralytics/ultralytics/utils/__pycache__/autobatch.cpython-310.pyc 4.32KB
  1219. YOLO/ultralytics/ultralytics/utils/__pycache__/checks.cpython-310.pyc 25.68KB
  1220. YOLO/ultralytics/ultralytics/utils/__pycache__/dist.cpython-310.pyc 2.5KB
  1221. YOLO/ultralytics/ultralytics/utils/__pycache__/downloads.cpython-310.pyc 19.85KB
  1222. YOLO/ultralytics/ultralytics/utils/__pycache__/errors.cpython-310.pyc 1.17KB
  1223. YOLO/ultralytics/ultralytics/utils/__pycache__/files.cpython-310.pyc 7.75KB
  1224. YOLO/ultralytics/ultralytics/utils/__pycache__/instance.cpython-310.pyc 14.94KB
  1225. YOLO/ultralytics/ultralytics/utils/__pycache__/loss.cpython-310.pyc 24.92KB
  1226. YOLO/ultralytics/ultralytics/utils/__pycache__/metrics.cpython-310.pyc 47.35KB
  1227. YOLO/ultralytics/ultralytics/utils/__pycache__/ops.cpython-310.pyc 28.82KB
  1228. YOLO/ultralytics/ultralytics/utils/__pycache__/patches.cpython-310.pyc 3.15KB
  1229. YOLO/ultralytics/ultralytics/utils/__pycache__/plotting.cpython-310.pyc 49.94KB
  1230. YOLO/ultralytics/ultralytics/utils/__pycache__/tal.cpython-310.pyc 14.4KB
  1231. YOLO/ultralytics/ultralytics/utils/__pycache__/torch_utils.cpython-310.pyc 27.97KB
  1232. YOLO/ultralytics/ultralytics/utils/__pycache__/__init__.cpython-310.pyc 46.91KB
  1233. YOLO/ultralytics/ultralytics/yolo11n.pt 5.35MB
  1234. YOLO/ultralytics/ultralytics/__init__.py 690B
  1235. YOLO/ultralytics/ultralytics/__pycache__/
  1236. YOLO/ultralytics/ultralytics/__pycache__/__init__.cpython-310.pyc 680B
  1237. YOLO/ultralytics/yolo11n.pt 5.35MB

资源介绍:

yolo数据集制作与简单模型训练
<div align="center"> <p> <a href="https://www.ultralytics.com/events/yolovision" target="_blank"> <img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" alt="YOLO Vision banner"></a> </p> [中文](https://docs.ultralytics.com/zh) | [한국어](https://docs.ultralytics.com/ko) | [日本語](https://docs.ultralytics.com/ja) | [Русский](https://docs.ultralytics.com/ru) | [Deutsch](https://docs.ultralytics.com/de) | [Français](https://docs.ultralytics.com/fr) | [Español](https://docs.ultralytics.com/es) | [Português](https://docs.ultralytics.com/pt) | [Türkçe](https://docs.ultralytics.com/tr) | [Tiếng Việt](https://docs.ultralytics.com/vi) | [العربية](https://docs.ultralytics.com/ar) <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://www.pepy.tech/projects/ultralytics"><img src="https://static.pepy.tech/badge/ultralytics" alt="Ultralytics Downloads"></a> <a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="Ultralytics YOLO Citation"></a> <a href="https://discord.com/invite/ultralytics"><img alt="Ultralytics 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> <a href="https://reddit.com/r/ultralytics"><img alt="Ultralytics Reddit" src="https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue"></a> <br> <a href="https://console.paperspace.com/github/ultralytics/ultralytics"><img src="https://assets.paperspace.io/img/gradient-badge.svg" alt="Run Ultralytics 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 Ultralytics In Colab"></a> <a href="https://www.kaggle.com/models/ultralytics/yolo11"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open Ultralytics In Kaggle"></a> <a href="https://mybinder.org/v2/gh/ultralytics/ultralytics/HEAD?labpath=examples%2Ftutorial.ipynb"><img src="https://mybinder.org/badge_logo.svg" alt="Open Ultralytics In Binder"></a> </div> <br> [Ultralytics](https://www.ultralytics.com/) [YOLO11](https://github.com/ultralytics/ultralytics) is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLO11 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks. We hope that the resources here will help you get the most out of YOLO. Please browse the Ultralytics <a href="https://docs.ultralytics.com/">Docs</a> for details, raise an issue on <a href="https://github.com/ultralytics/ultralytics/issues/new/choose">GitHub</a> for support, questions, or discussions, become a member of the Ultralytics <a href="https://discord.com/invite/ultralytics">Discord</a>, <a href="https://reddit.com/r/ultralytics">Reddit</a> and <a href="https://community.ultralytics.com/">Forums</a>! To request an Enterprise License please complete the form at [Ultralytics Licensing](https://www.ultralytics.com/license). <img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/refs/heads/main/yolo/performance-comparison.png" alt="YOLO11 performance plots"></a> <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%" alt="space"> <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%" alt="space"> <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%" alt="space"> <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%" alt="space"> <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%" alt="space"> <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%" alt="space"> <a href="https://discord.com/invite/ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="2%" alt="Ultralytics Discord"></a> </div> </div> ## <div align="center">Documentation</div> See below for a quickstart install and usage examples, and see our [Docs](https://docs.ultralytics.com/) for full documentation on training, validation, prediction and deployment. <details open> <summary>Install</summary> Pip install the ultralytics package including all [requirements](https://github.com/ultralytics/ultralytics/blob/main/pyproject.toml) in a [**Python>=3.8**](https://www.python.org/) environment with [**PyTorch>=1.8**](https://pytorch.org/get-started/locally/). [![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 ``` For alternative installation methods including [Conda](https://anaconda.org/conda-forge/ultralytics), [Docker](https://hub.docker.com/r/ultralytics/ultralytics), and Git, please refer to the [Quickstart Guide](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) </details> <details open> <summary>Usage</summary> ### CLI YOLO may be used directly in the Command Line Interface (CLI) with a `yolo` command: ```bash yolo predict model=yolo11n.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 the YOLO [CLI Docs](https://doc
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