首页 星云 工具 资源 星选 资讯 热门工具
:

PDF转图片 完全免费 小红书视频下载 无水印 抖音视频下载 无水印 数字星空

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

前端 1.04MB 20 需要积分: 1
立即下载

资源介绍:

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

[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/)
YOLOv5 CI YOLOv5 Citation Docker Pulls Discord Ultralytics Forums
Run on Gradient Open In Colab Open In Kaggle

YOLOv5 馃殌 is the world's most loved vision AI, representing Ultralytics 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 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions! To request an Enterprise License please complete the form at [Ultralytics Licensing](https://ultralytics.com/license).
Ultralytics GitHub Ultralytics LinkedIn Ultralytics Twitter Ultralytics YouTube Ultralytics TikTok Ultralytics BiliBili Ultralytics Discord

##
YOLOv8 馃殌 NEW
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) ```bash pip install ultralytics ``` ##
Documentation
See the [YOLOv5 Docs](https://docs.ultralytics.com/yolov5) for full documentation on training, testing and deployment. See below for quickstart examples.
Install 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/). ```bash git clone https://github.com/ultralytics/yolov5 # clone cd yolov5 pip install -r requirements.txt # install ```
Inference 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). ```python import torch # Model model = torch.hub.load("ultralytics/yolov5", "yolov5s") # or yolov5n - yolov5x6, custom # Images img = "https://ultralytics.com/images/zidane.jpg" # or file, Path, PIL, OpenCV, numpy, list # Inference results = model(img) # Results results.print() # or .show(), .save(), .crop(), .pandas(), etc. ```
Inference with detect.py `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`. ```bash python detect.py --weights yolov5s.pt --source 0 # webcam img.jpg # image vid.mp4

资源文件列表:

yolov5-master.zip 大约有171个文件
  1. yolov5-master/
  2. yolov5-master/.dockerignore 3.61KB
  3. yolov5-master/.gitattributes 75B
  4. yolov5-master/.github/
  5. yolov5-master/.github/ISSUE_TEMPLATE/
  6. yolov5-master/.github/ISSUE_TEMPLATE/bug-report.yml 2.9KB
  7. yolov5-master/.github/ISSUE_TEMPLATE/config.yml 405B
  8. yolov5-master/.github/ISSUE_TEMPLATE/feature-request.yml 1.79KB
  9. yolov5-master/.github/ISSUE_TEMPLATE/question.yml 1.17KB
  10. yolov5-master/.github/dependabot.yml 649B
  11. yolov5-master/.github/workflows/
  12. yolov5-master/.github/workflows/ci-testing.yml 6.8KB
  13. yolov5-master/.github/workflows/cla.yml 1.58KB
  14. yolov5-master/.github/workflows/codeql-analysis.yml 2.07KB
  15. yolov5-master/.github/workflows/docker.yml 1.66KB
  16. yolov5-master/.github/workflows/format.yml 1.12KB
  17. yolov5-master/.github/workflows/greetings.yml 5.36KB
  18. yolov5-master/.github/workflows/links.yml 2.74KB
  19. yolov5-master/.github/workflows/merge-main-into-prs.yml 1.77KB
  20. yolov5-master/.github/workflows/stale.yml 2.31KB
  21. yolov5-master/.gitignore 3.9KB
  22. yolov5-master/CITATION.cff 393B
  23. yolov5-master/CONTRIBUTING.md 4.88KB
  24. yolov5-master/LICENSE 33.71KB
  25. yolov5-master/README.md 41.57KB
  26. yolov5-master/README.zh-CN.md 41.3KB
  27. yolov5-master/benchmarks.py 13.79KB
  28. yolov5-master/classify/
  29. yolov5-master/classify/predict.py 11.8KB
  30. yolov5-master/classify/train.py 16.1KB
  31. yolov5-master/classify/tutorial.ipynb 101.23KB
  32. yolov5-master/classify/val.py 8.01KB
  33. yolov5-master/data/
  34. yolov5-master/data/Argoverse.yaml 2.66KB
  35. yolov5-master/data/GlobalWheat2020.yaml 1.84KB
  36. yolov5-master/data/ImageNet.yaml 18.42KB
  37. yolov5-master/data/ImageNet10.yaml 929B
  38. yolov5-master/data/ImageNet100.yaml 2.58KB
  39. yolov5-master/data/ImageNet1000.yaml 18.42KB
  40. yolov5-master/data/Objects365.yaml 8.98KB
  41. yolov5-master/data/SKU-110K.yaml 2.28KB
  42. yolov5-master/data/VOC.yaml 3.41KB
  43. yolov5-master/data/VisDrone.yaml 2.9KB
  44. yolov5-master/data/coco.yaml 2.43KB
  45. yolov5-master/data/coco128-seg.yaml 1.85KB
  46. yolov5-master/data/coco128.yaml 1.83KB
  47. yolov5-master/data/hyps/
  48. yolov5-master/data/hyps/hyp.Objects365.yaml 671B
  49. yolov5-master/data/hyps/hyp.VOC.yaml 1.13KB
  50. yolov5-master/data/hyps/hyp.no-augmentation.yaml 1.61KB
  51. yolov5-master/data/hyps/hyp.scratch-high.yaml 1.61KB
  52. yolov5-master/data/hyps/hyp.scratch-low.yaml 1.62KB
  53. yolov5-master/data/hyps/hyp.scratch-med.yaml 1.62KB
  54. yolov5-master/data/images/
  55. yolov5-master/data/images/bus.jpg 476.01KB
  56. yolov5-master/data/images/zidane.jpg 164.99KB
  57. yolov5-master/data/scripts/
  58. yolov5-master/data/scripts/download_weights.sh 641B
  59. yolov5-master/data/scripts/get_coco.sh 1.53KB
  60. yolov5-master/data/scripts/get_coco128.sh 619B
  61. yolov5-master/data/scripts/get_imagenet.sh 1.63KB
  62. yolov5-master/data/scripts/get_imagenet10.sh 734B
  63. yolov5-master/data/scripts/get_imagenet100.sh 738B
  64. yolov5-master/data/scripts/get_imagenet1000.sh 742B
  65. yolov5-master/data/xView.yaml 5.04KB
  66. yolov5-master/detect.py 22.54KB
  67. yolov5-master/export.py 64.87KB
  68. yolov5-master/hubconf.py 23.41KB
  69. yolov5-master/models/
  70. yolov5-master/models/__init__.py
  71. yolov5-master/models/common.py 49.53KB
  72. yolov5-master/models/experimental.py 5.03KB
  73. yolov5-master/models/hub/
  74. yolov5-master/models/hub/anchors.yaml 3.26KB
  75. yolov5-master/models/hub/yolov3-spp.yaml 1.55KB
  76. yolov5-master/models/hub/yolov3-tiny.yaml 1.22KB
  77. yolov5-master/models/hub/yolov3.yaml 1.54KB
  78. yolov5-master/models/hub/yolov5-bifpn.yaml 1.41KB
  79. yolov5-master/models/hub/yolov5-fpn.yaml 1.2KB
  80. yolov5-master/models/hub/yolov5-p2.yaml 1.66KB
  81. yolov5-master/models/hub/yolov5-p34.yaml 1.21KB
  82. yolov5-master/models/hub/yolov5-p6.yaml 1.71KB
  83. yolov5-master/models/hub/yolov5-p7.yaml 2.09KB
  84. yolov5-master/models/hub/yolov5-panet.yaml 1.39KB
  85. yolov5-master/models/hub/yolov5l6.yaml 1.79KB
  86. yolov5-master/models/hub/yolov5m6.yaml 1.79KB
  87. yolov5-master/models/hub/yolov5n6.yaml 1.79KB
  88. yolov5-master/models/hub/yolov5s-LeakyReLU.yaml 1.48KB
  89. yolov5-master/models/hub/yolov5s-ghost.yaml 1.46KB
  90. yolov5-master/models/hub/yolov5s-transformer.yaml 1.42KB
  91. yolov5-master/models/hub/yolov5s6.yaml 1.79KB
  92. yolov5-master/models/hub/yolov5x6.yaml 1.79KB
  93. yolov5-master/models/segment/
  94. yolov5-master/models/segment/yolov5l-seg.yaml 1.39KB
  95. yolov5-master/models/segment/yolov5m-seg.yaml 1.4KB
  96. yolov5-master/models/segment/yolov5n-seg.yaml 1.4KB
  97. yolov5-master/models/segment/yolov5s-seg.yaml 1.4KB
  98. yolov5-master/models/segment/yolov5x-seg.yaml 1.4KB
  99. yolov5-master/models/tf.py 31.42KB
  100. yolov5-master/models/yolo.py 20.17KB
  101. yolov5-master/models/yolov5l.yaml 1.38KB
  102. yolov5-master/models/yolov5m.yaml 1.39KB
  103. yolov5-master/models/yolov5n.yaml 1.39KB
  104. yolov5-master/models/yolov5s.yaml 1.39KB
  105. yolov5-master/models/yolov5x.yaml 1.39KB
  106. yolov5-master/pyproject.toml 5.25KB
  107. yolov5-master/requirements.txt 1.56KB
  108. yolov5-master/segment/
  109. yolov5-master/segment/predict.py 15.9KB
  110. yolov5-master/segment/train.py 34.35KB
  111. yolov5-master/segment/tutorial.ipynb 42.45KB
  112. yolov5-master/segment/val.py 23.8KB
  113. yolov5-master/train.py 46.03KB
  114. yolov5-master/tutorial.ipynb 40.51KB
  115. yolov5-master/utils/
  116. yolov5-master/utils/__init__.py 3.15KB
  117. yolov5-master/utils/activations.py 4.5KB
  118. yolov5-master/utils/augmentations.py 18.44KB
  119. yolov5-master/utils/autoanchor.py 7.75KB
  120. yolov5-master/utils/autobatch.py 2.97KB
  121. yolov5-master/utils/aws/
  122. yolov5-master/utils/aws/__init__.py
  123. yolov5-master/utils/aws/mime.sh 780B
  124. yolov5-master/utils/aws/resume.py 1.21KB
  125. yolov5-master/utils/aws/userdata.sh 1.22KB
  126. yolov5-master/utils/callbacks.py 2.65KB
  127. yolov5-master/utils/dataloaders.py 58.92KB
  128. yolov5-master/utils/docker/
  129. yolov5-master/utils/docker/Dockerfile 2.5KB
  130. yolov5-master/utils/docker/Dockerfile-arm64 1.53KB
  131. yolov5-master/utils/docker/Dockerfile-cpu 1.78KB
  132. yolov5-master/utils/downloads.py 5.11KB
  133. yolov5-master/utils/flask_rest_api/
  134. yolov5-master/utils/flask_rest_api/README.md 1.67KB
  135. yolov5-master/utils/flask_rest_api/example_request.py 365B
  136. yolov5-master/utils/flask_rest_api/restapi.py 1.54KB
  137. yolov5-master/utils/general.py 50.19KB
  138. yolov5-master/utils/google_app_engine/
  139. yolov5-master/utils/google_app_engine/Dockerfile 821B
  140. yolov5-master/utils/google_app_engine/additional_requirements.txt 264B
  141. yolov5-master/utils/google_app_engine/app.yaml 219B
  142. yolov5-master/utils/loggers/
  143. yolov5-master/utils/loggers/__init__.py 19.69KB
  144. yolov5-master/utils/loggers/clearml/
  145. yolov5-master/utils/loggers/clearml/README.md 10.55KB
  146. yolov5-master/utils/loggers/clearml/__init__.py
  147. yolov5-master/utils/loggers/clearml/clearml_utils.py 9.47KB
  148. yolov5-master/utils/loggers/clearml/hpo.py 5.17KB
  149. yolov5-master/utils/loggers/comet/
  150. yolov5-master/utils/loggers/comet/README.md 10.56KB
  151. yolov5-master/utils/loggers/comet/__init__.py 21.09KB
  152. yolov5-master/utils/loggers/comet/comet_utils.py 4.71KB
  153. yolov5-master/utils/loggers/comet/hpo.py 6.77KB
  154. yolov5-master/utils/loggers/comet/optimizer_config.json 2.37KB
  155. yolov5-master/utils/loggers/wandb/
  156. yolov5-master/utils/loggers/wandb/__init__.py
  157. yolov5-master/utils/loggers/wandb/wandb_utils.py 7.95KB
  158. yolov5-master/utils/loss.py 10.93KB
  159. yolov5-master/utils/metrics.py 15.11KB
  160. yolov5-master/utils/plots.py 20.16KB
  161. yolov5-master/utils/segment/
  162. yolov5-master/utils/segment/__init__.py
  163. yolov5-master/utils/segment/augmentations.py 3.69KB
  164. yolov5-master/utils/segment/dataloaders.py 13.24KB
  165. yolov5-master/utils/segment/general.py 5.8KB
  166. yolov5-master/utils/segment/loss.py 8.91KB
  167. yolov5-master/utils/segment/metrics.py 5.76KB
  168. yolov5-master/utils/segment/plots.py 6.53KB
  169. yolov5-master/utils/torch_utils.py 21.06KB
  170. yolov5-master/utils/triton.py 3.7KB
  171. yolov5-master/val.py 29.71KB
0评论
提交 加载更多评论
其他资源 个人简历Word模板+自我介绍PPT模板.zip
个人简历Word模板10套 自我介绍PPT模板4套 有需要的朋友请自取,如果我的模板帮助到你,别忘了点个赞+关注哦,感谢 /抱拳
个人简历Word模板+自我介绍PPT模板.zip
EasyPR-Java 依赖的相关可用jar包下载
EasyPR-Java是一个基于Java的开源车牌识别系统,相关依赖jar包下载:javacpp-0.11.jar javacv-0.11.jar opencv-2.4.11-0.11.jar opencv-2.4.11 它的核心目标是简化计算机视觉技术在车牌识别中的应用。这个jar包集合包含了几个关键组件,对于理解EasyPR-Java的工作原理及其在实际项目中的应用至关重要。
pytorch实现手动数字识别
pytorch实现手动数字识别,文章参考 https://blog.csdn.net/fengzhongye51460/article/details/140688107, 学些pytorch神经网络的简单的入门例子
GD32H7系列CLion工程模版
GD32H7系列CLion工程模版
yolov3///////////
yolov3///////////
yolov3/////////// yolov3/////////// yolov3///////////
Java Web的简单登录应用
使用JavaWeb简单实现登录页面并分类跳转,使普通用户可以查看自己的有关数据,管理员身份登录可以对数据进行管理。(存在问题,求大佬指导)
NetV8,用于VFP专用版
NetV8,用于VFP专用版
大语言模型+llama3+代码+学习可运行llama3代码
本项目基于Meta最新发布的新一代开源大模型Llama-3开发,是Chinese-LLaMA-Alpaca开源大模型相关系列项目(一期、二期)的第三期。本项目开源了中文Llama-3基座模型和中文Llama-3-Instruct指令精调大模型。这些模型在原版Llama-3的基础上使用了大规模中文数据进行增量预训练,并且使用精选指令数据进行精调,进一步提升了中文基础语义和指令理解能力,相比二代相关模型获得了显著性能提升。 我已将如何训练+推理以及vscode配置等内容放入文件夹,你可直接下载按照要求执行,以便进一步解读与学习。当然,我也会在博客解读代码细节,以此帮助大家对大语言模型理解。
大语言模型+llama3+代码+学习可运行llama3代码 大语言模型+llama3+代码+学习可运行llama3代码 大语言模型+llama3+代码+学习可运行llama3代码