ZIPyolov5//////////// 1.04MB

jing_h21

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

资源介绍:

yolov5////////////
<div align="center"> <p> <a href="http://www.ultralytics.com/blog/ultralytics-yolov8-turns-one-a-year-of-breakthroughs-and-innovations" target="_blank"> <img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.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> [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/) <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> <a href="https://ultralytics.com/discord"><img alt="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> <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 馃殌 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?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%"> <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://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%"> <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 馃殌 NEW</div> 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 ``` <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/). ```bash git clone https://github.com/ultralytics/yolov5 # clone cd yolov5 pip 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). ```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. ``` </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`. ```bash python detect.py --weights yolov5s.pt --source 0 # webcam img.jpg # image vid.mp4
100+评论
captcha
    相关资源
    类型标题大小时间
    ZIP个人简历Word模板+自我介绍PPT模板.zip35.53MB9月前
    ZIPEasyPR-Java 依赖的相关可用jar包下载1.21MB9月前
    ZIPpytorch实现手动数字识别32.64MB9月前
    ZIPGD32H7系列CLion工程模版670.76KB9月前
    ZIPyolov3///////////1.02MB9月前
    ZIPJava Web的简单登录应用7.8MB9月前
    ZIPNetV8,用于VFP专用版18.59MB9月前
    ZIP大语言模型+llama3+代码+学习可运行llama3代码1.49MB9月前