首页下载资源前端yolov3///////////

ZIPyolov3///////////

jing_h211.02MB需要积分:1

资源文件列表:

yolov3-master.zip 大约有163个文件
  1. yolov3-master/
  2. yolov3-master/.dockerignore 3.61KB
  3. yolov3-master/.github/
  4. yolov3-master/.github/ISSUE_TEMPLATE/
  5. yolov3-master/.github/ISSUE_TEMPLATE/bug-report.yml 2.9KB
  6. yolov3-master/.github/ISSUE_TEMPLATE/config.yml 399B
  7. yolov3-master/.github/ISSUE_TEMPLATE/feature-request.yml 1.79KB
  8. yolov3-master/.github/ISSUE_TEMPLATE/question.yml 1.17KB
  9. yolov3-master/.github/dependabot.yml 649B
  10. yolov3-master/.github/workflows/
  11. yolov3-master/.github/workflows/ci-testing.yml 5.51KB
  12. yolov3-master/.github/workflows/cla.yml 1.57KB
  13. yolov3-master/.github/workflows/codeql-analysis.yml 2.07KB
  14. yolov3-master/.github/workflows/docker.yml 1.55KB
  15. yolov3-master/.github/workflows/format.yml 1.12KB
  16. yolov3-master/.github/workflows/greetings.yml 5.36KB
  17. yolov3-master/.github/workflows/links.yml 2.44KB
  18. yolov3-master/.github/workflows/stale.yml 2.31KB
  19. yolov3-master/.gitignore 3.9KB
  20. yolov3-master/CITATION.cff 399B
  21. yolov3-master/CONTRIBUTING.md 4.88KB
  22. yolov3-master/LICENSE 33.71KB
  23. yolov3-master/README.md 41.29KB
  24. yolov3-master/README.zh-CN.md 41.03KB
  25. yolov3-master/benchmarks.py 13.71KB
  26. yolov3-master/classify/
  27. yolov3-master/classify/predict.py 11.76KB
  28. yolov3-master/classify/train.py 15.97KB
  29. yolov3-master/classify/tutorial.ipynb 101.19KB
  30. yolov3-master/classify/val.py 8KB
  31. yolov3-master/data/
  32. yolov3-master/data/Argoverse.yaml 2.66KB
  33. yolov3-master/data/GlobalWheat2020.yaml 1.84KB
  34. yolov3-master/data/ImageNet.yaml 18.42KB
  35. yolov3-master/data/SKU-110K.yaml 2.28KB
  36. yolov3-master/data/VisDrone.yaml 2.9KB
  37. yolov3-master/data/coco.yaml 2.43KB
  38. yolov3-master/data/coco128-seg.yaml 1.85KB
  39. yolov3-master/data/coco128.yaml 1.83KB
  40. yolov3-master/data/hyps/
  41. yolov3-master/data/hyps/hyp.Objects365.yaml 671B
  42. yolov3-master/data/hyps/hyp.VOC.yaml 1.13KB
  43. yolov3-master/data/hyps/hyp.no-augmentation.yaml 1.61KB
  44. yolov3-master/data/hyps/hyp.scratch-high.yaml 1.61KB
  45. yolov3-master/data/hyps/hyp.scratch-low.yaml 1.62KB
  46. yolov3-master/data/hyps/hyp.scratch-med.yaml 1.62KB
  47. yolov3-master/data/images/
  48. yolov3-master/data/images/bus.jpg 476.01KB
  49. yolov3-master/data/images/zidane.jpg 164.99KB
  50. yolov3-master/data/objects365.yaml 8.98KB
  51. yolov3-master/data/scripts/
  52. yolov3-master/data/scripts/download_weights.sh 641B
  53. yolov3-master/data/scripts/get_coco.sh 1.53KB
  54. yolov3-master/data/scripts/get_coco128.sh 619B
  55. yolov3-master/data/scripts/get_imagenet.sh 1.63KB
  56. yolov3-master/data/voc.yaml 3.41KB
  57. yolov3-master/data/xView.yaml 5.04KB
  58. yolov3-master/detect.py 22.55KB
  59. yolov3-master/export.py 67.78KB
  60. yolov3-master/hubconf.py 21.73KB
  61. yolov3-master/models/
  62. yolov3-master/models/__init__.py
  63. yolov3-master/models/common.py 48.6KB
  64. yolov3-master/models/experimental.py 5.03KB
  65. yolov3-master/models/hub/
  66. yolov3-master/models/hub/anchors.yaml 3.26KB
  67. yolov3-master/models/hub/yolov5-bifpn.yaml 1.41KB
  68. yolov3-master/models/hub/yolov5-fpn.yaml 1.2KB
  69. yolov3-master/models/hub/yolov5-p2.yaml 1.66KB
  70. yolov3-master/models/hub/yolov5-p34.yaml 1.21KB
  71. yolov3-master/models/hub/yolov5-p6.yaml 1.71KB
  72. yolov3-master/models/hub/yolov5-p7.yaml 2.09KB
  73. yolov3-master/models/hub/yolov5-panet.yaml 1.39KB
  74. yolov3-master/models/hub/yolov5l6.yaml 1.79KB
  75. yolov3-master/models/hub/yolov5m6.yaml 1.79KB
  76. yolov3-master/models/hub/yolov5n6.yaml 1.79KB
  77. yolov3-master/models/hub/yolov5s-LeakyReLU.yaml 1.48KB
  78. yolov3-master/models/hub/yolov5s-ghost.yaml 1.46KB
  79. yolov3-master/models/hub/yolov5s-transformer.yaml 1.42KB
  80. yolov3-master/models/hub/yolov5s6.yaml 1.79KB
  81. yolov3-master/models/hub/yolov5x6.yaml 1.79KB
  82. yolov3-master/models/segment/
  83. yolov3-master/models/segment/yolov5l-seg.yaml 1.39KB
  84. yolov3-master/models/segment/yolov5m-seg.yaml 1.4KB
  85. yolov3-master/models/segment/yolov5n-seg.yaml 1.4KB
  86. yolov3-master/models/segment/yolov5s-seg.yaml 1.4KB
  87. yolov3-master/models/segment/yolov5x-seg.yaml 1.4KB
  88. yolov3-master/models/tf.py 30.87KB
  89. yolov3-master/models/yolo.py 19.78KB
  90. yolov3-master/models/yolov3-spp.yaml 1.55KB
  91. yolov3-master/models/yolov3-tiny.yaml 1.22KB
  92. yolov3-master/models/yolov3.yaml 1.54KB
  93. yolov3-master/models/yolov5l.yaml 1.38KB
  94. yolov3-master/models/yolov5m.yaml 1.39KB
  95. yolov3-master/models/yolov5n.yaml 1.39KB
  96. yolov3-master/models/yolov5s.yaml 1.39KB
  97. yolov3-master/models/yolov5x.yaml 1.39KB
  98. yolov3-master/pyproject.toml 5.18KB
  99. yolov3-master/requirements.txt 1.55KB
  100. yolov3-master/segment/
  101. yolov3-master/segment/predict.py 15.83KB
  102. yolov3-master/segment/train.py 34.34KB
  103. yolov3-master/segment/tutorial.ipynb 42.41KB
  104. yolov3-master/segment/val.py 23.55KB
  105. yolov3-master/train.py 39.29KB
  106. yolov3-master/tutorial.ipynb 40.02KB
  107. yolov3-master/utils/
  108. yolov3-master/utils/__init__.py 3.25KB
  109. yolov3-master/utils/activations.py 4.93KB
  110. yolov3-master/utils/augmentations.py 18.21KB
  111. yolov3-master/utils/autoanchor.py 7.75KB
  112. yolov3-master/utils/autobatch.py 3.02KB
  113. yolov3-master/utils/aws/
  114. yolov3-master/utils/aws/__init__.py
  115. yolov3-master/utils/aws/mime.sh 780B
  116. yolov3-master/utils/aws/resume.py 1.21KB
  117. yolov3-master/utils/aws/userdata.sh 1.22KB
  118. yolov3-master/utils/callbacks.py 2.66KB
  119. yolov3-master/utils/dataloaders.py 57.17KB
  120. yolov3-master/utils/docker/
  121. yolov3-master/utils/docker/Dockerfile 2.6KB
  122. yolov3-master/utils/docker/Dockerfile-arm64 1.63KB
  123. yolov3-master/utils/docker/Dockerfile-cpu 1.88KB
  124. yolov3-master/utils/downloads.py 5.04KB
  125. yolov3-master/utils/flask_rest_api/
  126. yolov3-master/utils/flask_rest_api/README.md 1.67KB
  127. yolov3-master/utils/flask_rest_api/example_request.py 365B
  128. yolov3-master/utils/flask_rest_api/restapi.py 1.53KB
  129. yolov3-master/utils/general.py 49.75KB
  130. yolov3-master/utils/google_app_engine/
  131. yolov3-master/utils/google_app_engine/Dockerfile 821B
  132. yolov3-master/utils/google_app_engine/additional_requirements.txt 264B
  133. yolov3-master/utils/google_app_engine/app.yaml 219B
  134. yolov3-master/utils/loggers/
  135. yolov3-master/utils/loggers/__init__.py 18.03KB
  136. yolov3-master/utils/loggers/clearml/
  137. yolov3-master/utils/loggers/clearml/README.md 10.55KB
  138. yolov3-master/utils/loggers/clearml/__init__.py
  139. yolov3-master/utils/loggers/clearml/clearml_utils.py 7.59KB
  140. yolov3-master/utils/loggers/clearml/hpo.py 5.17KB
  141. yolov3-master/utils/loggers/comet/
  142. yolov3-master/utils/loggers/comet/README.md 10.56KB
  143. yolov3-master/utils/loggers/comet/__init__.py 21.5KB
  144. yolov3-master/utils/loggers/comet/comet_utils.py 4.71KB
  145. yolov3-master/utils/loggers/comet/hpo.py 6.76KB
  146. yolov3-master/utils/loggers/comet/optimizer_config.json 2.37KB
  147. yolov3-master/utils/loggers/wandb/
  148. yolov3-master/utils/loggers/wandb/__init__.py
  149. yolov3-master/utils/loggers/wandb/wandb_utils.py 7.96KB
  150. yolov3-master/utils/loss.py 10.91KB
  151. yolov3-master/utils/metrics.py 15.06KB
  152. yolov3-master/utils/plots.py 19.7KB
  153. yolov3-master/utils/segment/
  154. yolov3-master/utils/segment/__init__.py
  155. yolov3-master/utils/segment/augmentations.py 3.66KB
  156. yolov3-master/utils/segment/dataloaders.py 13.17KB
  157. yolov3-master/utils/segment/general.py 5.8KB
  158. yolov3-master/utils/segment/loss.py 8.96KB
  159. yolov3-master/utils/segment/metrics.py 5.66KB
  160. yolov3-master/utils/segment/plots.py 6.45KB
  161. yolov3-master/utils/torch_utils.py 21KB
  162. yolov3-master/utils/triton.py 3.73KB
  163. yolov3-master/val.py 29.86KB

资源介绍:

yolov3///////////

[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/)
YOLOv3 CI YOLOv3 Citation Docker Pulls Discord Ultralytics Forums
Run on Gradient Open In Colab Open In Kaggle

YOLOv3 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 YOLOv3. Please browse the YOLOv3 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 [YOLOv3 Docs](https://docs.ultralytics.com) 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>=3.7.0**](https://www.python.org/) environment, including [**PyTorch>=1.7**](https://pytorch.org/get-started/locally/). ```bash git clone https://github.com/ultralytics/yolov3 # clone cd yolov3 pip install -r requirements.txt # install ```
Inference YOLOv3 [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 YOLOv3 [release](https://github.com/ultralytics/yolov5/releases). ```python import torch # Model model = torch.hub.load("ultralytics/yolov3", "yolov3") # 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 YOLOv3 [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 # video screen # screenshot path/ # directory list.txt
100+评论
captcha

    相关资源

    1. yolov5////////////

      jing_h21#前端ZIP1.04MB7月前
      资源摘要:yolov5////////////

    2. 个人简历Word模板+自我介绍PPT模板.zip

      wangzhilong1996#后端ZIP35.53MB7月前
      资源摘要: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

    3. EasyPR-Java 依赖的相关可用jar包下载

      zhangxun1917#后端ZIP1.21MB7月前
      资源摘要: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。

    4. pytorch实现手动数字识别

      fengzhongye51460#后端ZIP32.64MB7月前
      资源摘要: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

    5. Java Web的简单登录应用

      zyzdnr#后端ZIP7.8MB7月前
      资源摘要: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）

    6. NetV8,用于VFP专用版

      weixin_53925881#后端ZIP18.59MB7月前
      资源摘要:NetV8,用于VFP专用版

    7. 大语言模型+llama3+代码+学习可运行llama3代码

      weixin_38252409#人工智能ZIP1.49MB7月前
      资源摘要: 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。

    8. 基于c语言封装的ftp客户端开源库

      qq_73924465#后端ZIP9.62KB7月前
      资源摘要:ftp
    站长QQ:九六九五七三七