ZIP目标检测+yolov8+源码+运行调试 953.25KB

qq_26938321

资源文件列表:

ultralytics-main.zip 大约有190个文件
  1. ultralytics-main/
  2. ultralytics-main/.github/
  3. ultralytics-main/.github/ISSUE_TEMPLATE/
  4. ultralytics-main/.github/ISSUE_TEMPLATE/bug-report.yml 2.89KB
  5. ultralytics-main/.github/ISSUE_TEMPLATE/config.yml 387B
  6. ultralytics-main/.github/ISSUE_TEMPLATE/feature-request.yml 1.78KB
  7. ultralytics-main/.github/ISSUE_TEMPLATE/question.yml 1.14KB
  8. ultralytics-main/.github/dependabot.yml 764B
  9. ultralytics-main/.github/translate-readme.yml 700B
  10. ultralytics-main/.github/workflows/
  11. ultralytics-main/.github/workflows/ci.yaml 4.49KB
  12. ultralytics-main/.github/workflows/cla.yml 1.37KB
  13. ultralytics-main/.github/workflows/docker.yaml 1.53KB
  14. ultralytics-main/.gitignore 2.05KB
  15. ultralytics-main/.pre-commit-config.yaml 1.56KB
  16. ultralytics-main/CITATION.cff 611B
  17. ultralytics-main/CONTRIBUTING.md 5.48KB
  18. ultralytics-main/LICENSE 34.33KB
  19. ultralytics-main/MANIFEST.in 108B
  20. ultralytics-main/README.md 21.07KB
  21. ultralytics-main/README.zh-CN.md 20.02KB
  22. ultralytics-main/docker/
  23. ultralytics-main/docker/Dockerfile 2.42KB
  24. ultralytics-main/docker/Dockerfile-arm64 1.72KB
  25. ultralytics-main/docker/Dockerfile-cpu 1.71KB
  26. ultralytics-main/docs/
  27. ultralytics-main/docs/CNAME 20B
  28. ultralytics-main/docs/README.md 3.66KB
  29. ultralytics-main/docs/app.md 1.33KB
  30. ultralytics-main/docs/assets/
  31. ultralytics-main/docs/assets/favicon.ico 5.3KB
  32. ultralytics-main/docs/cli.md 3.15KB
  33. ultralytics-main/docs/config.md 16.77KB
  34. ultralytics-main/docs/engine.md 2.52KB
  35. ultralytics-main/docs/hub.md 4.62KB
  36. ultralytics-main/docs/index.md 5.28KB
  37. ultralytics-main/docs/python.md 3.9KB
  38. ultralytics-main/docs/quickstart.md 2.62KB
  39. ultralytics-main/docs/reference/
  40. ultralytics-main/docs/reference/base_pred.md 275B
  41. ultralytics-main/docs/reference/base_trainer.md 278B
  42. ultralytics-main/docs/reference/base_val.md 274B
  43. ultralytics-main/docs/reference/exporter.md 72B
  44. ultralytics-main/docs/reference/model.md 34B
  45. ultralytics-main/docs/reference/nn.md 459B
  46. ultralytics-main/docs/reference/ops.md 2.83KB
  47. ultralytics-main/docs/stylesheets/
  48. ultralytics-main/docs/stylesheets/style.css 684B
  49. ultralytics-main/docs/tasks/
  50. ultralytics-main/docs/tasks/classification.md 5.48KB
  51. ultralytics-main/docs/tasks/detection.md 5.48KB
  52. ultralytics-main/docs/tasks/segmentation.md 5.56KB
  53. ultralytics-main/examples/
  54. ultralytics-main/examples/tutorial.ipynb 41.95KB
  55. ultralytics-main/mkdocs.yml 2.23KB
  56. ultralytics-main/requirements.txt 1.16KB
  57. ultralytics-main/setup.cfg 1.69KB
  58. ultralytics-main/setup.py 2.35KB
  59. ultralytics-main/tests/
  60. ultralytics-main/tests/test_cli.py 1.9KB
  61. ultralytics-main/tests/test_engine.py 2.88KB
  62. ultralytics-main/tests/test_python.py 2.78KB
  63. ultralytics-main/ultralytics/
  64. ultralytics-main/ultralytics/__init__.py 271B
  65. ultralytics-main/ultralytics/assets/
  66. ultralytics-main/ultralytics/assets/bus.jpg 476.01KB
  67. ultralytics-main/ultralytics/assets/zidane.jpg 164.99KB
  68. ultralytics-main/ultralytics/hub/
  69. ultralytics-main/ultralytics/hub/__init__.py 5.09KB
  70. ultralytics-main/ultralytics/hub/auth.py 2.42KB
  71. ultralytics-main/ultralytics/hub/session.py 4.48KB
  72. ultralytics-main/ultralytics/hub/utils.py 6.5KB
  73. ultralytics-main/ultralytics/models/
  74. ultralytics-main/ultralytics/models/README.md 1.83KB
  75. ultralytics-main/ultralytics/models/v3/
  76. ultralytics-main/ultralytics/models/v3/yolov3-spp.yaml 1.4KB
  77. ultralytics-main/ultralytics/models/v3/yolov3-tiny.yaml 1.11KB
  78. ultralytics-main/ultralytics/models/v3/yolov3.yaml 1.39KB
  79. ultralytics-main/ultralytics/models/v5/
  80. ultralytics-main/ultralytics/models/v5/yolov5l.yaml 1.24KB
  81. ultralytics-main/ultralytics/models/v5/yolov5m.yaml 1.24KB
  82. ultralytics-main/ultralytics/models/v5/yolov5n.yaml 1.24KB
  83. ultralytics-main/ultralytics/models/v5/yolov5s.yaml 1.24KB
  84. ultralytics-main/ultralytics/models/v5/yolov5x.yaml 1.24KB
  85. ultralytics-main/ultralytics/models/v8/
  86. ultralytics-main/ultralytics/models/v8/cls/
  87. ultralytics-main/ultralytics/models/v8/cls/yolov8l-cls.yaml 629B
  88. ultralytics-main/ultralytics/models/v8/cls/yolov8m-cls.yaml 629B
  89. ultralytics-main/ultralytics/models/v8/cls/yolov8n-cls.yaml 629B
  90. ultralytics-main/ultralytics/models/v8/cls/yolov8s-cls.yaml 629B
  91. ultralytics-main/ultralytics/models/v8/cls/yolov8x-cls.yaml 629B
  92. ultralytics-main/ultralytics/models/v8/seg/
  93. ultralytics-main/ultralytics/models/v8/seg/yolov8l-seg.yaml 1.18KB
  94. ultralytics-main/ultralytics/models/v8/seg/yolov8m-seg.yaml 1.18KB
  95. ultralytics-main/ultralytics/models/v8/seg/yolov8n-seg.yaml 1.18KB
  96. ultralytics-main/ultralytics/models/v8/seg/yolov8s-seg.yaml 1.18KB
  97. ultralytics-main/ultralytics/models/v8/seg/yolov8x-seg.yaml 1.18KB
  98. ultralytics-main/ultralytics/models/v8/yolov8l.yaml 1.17KB
  99. ultralytics-main/ultralytics/models/v8/yolov8m.yaml 1.17KB
  100. ultralytics-main/ultralytics/models/v8/yolov8n.yaml 1.17KB
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  102. ultralytics-main/ultralytics/models/v8/yolov8x.yaml 1.17KB
  103. ultralytics-main/ultralytics/models/v8/yolov8x6.yaml 1.53KB
  104. ultralytics-main/ultralytics/nn/
  105. ultralytics-main/ultralytics/nn/__init__.py
  106. ultralytics-main/ultralytics/nn/autobackend.py 19.89KB
  107. ultralytics-main/ultralytics/nn/modules.py 29.32KB
  108. ultralytics-main/ultralytics/nn/tasks.py 18.16KB
  109. ultralytics-main/ultralytics/yolo/
  110. ultralytics-main/ultralytics/yolo/__init__.py 59B
  111. ultralytics-main/ultralytics/yolo/cli.py 1.83KB
  112. ultralytics-main/ultralytics/yolo/configs/
  113. ultralytics-main/ultralytics/yolo/configs/__init__.py 1.17KB
  114. ultralytics-main/ultralytics/yolo/configs/default.yaml 5.34KB
  115. ultralytics-main/ultralytics/yolo/configs/hydra_patch.py 3.67KB
  116. ultralytics-main/ultralytics/yolo/data/
  117. ultralytics-main/ultralytics/yolo/data/__init__.py 262B
  118. ultralytics-main/ultralytics/yolo/data/augment.py 29.99KB
  119. ultralytics-main/ultralytics/yolo/data/base.py 8.35KB
  120. ultralytics-main/ultralytics/yolo/data/build.py 4.85KB
  121. ultralytics-main/ultralytics/yolo/data/dataloaders/
  122. ultralytics-main/ultralytics/yolo/data/dataloaders/__init__.py
  123. ultralytics-main/ultralytics/yolo/data/dataloaders/stream_loaders.py 11.02KB
  124. ultralytics-main/ultralytics/yolo/data/dataloaders/v5augmentations.py 16.84KB
  125. ultralytics-main/ultralytics/yolo/data/dataloaders/v5loader.py 54.05KB
  126. ultralytics-main/ultralytics/yolo/data/dataset.py 9.32KB
  127. ultralytics-main/ultralytics/yolo/data/dataset_wrappers.py 1.3KB
  128. ultralytics-main/ultralytics/yolo/data/datasets/
  129. ultralytics-main/ultralytics/yolo/data/datasets/Argoverse.yaml 2.66KB
  130. ultralytics-main/ultralytics/yolo/data/datasets/GlobalWheat2020.yaml 1.84KB
  131. ultralytics-main/ultralytics/yolo/data/datasets/ImageNet.yaml 18.42KB
  132. ultralytics-main/ultralytics/yolo/data/datasets/Objects365.yaml 8.98KB
  133. ultralytics-main/ultralytics/yolo/data/datasets/SKU-110K.yaml 2.28KB
  134. ultralytics-main/ultralytics/yolo/data/datasets/VOC.yaml 3.41KB
  135. ultralytics-main/ultralytics/yolo/data/datasets/VisDrone.yaml 2.9KB
  136. ultralytics-main/ultralytics/yolo/data/datasets/coco.yaml 2.43KB
  137. ultralytics-main/ultralytics/yolo/data/datasets/coco128-seg.yaml 1.82KB
  138. ultralytics-main/ultralytics/yolo/data/datasets/coco128.yaml 1.8KB
  139. ultralytics-main/ultralytics/yolo/data/datasets/xView.yaml 5.04KB
  140. ultralytics-main/ultralytics/yolo/data/scripts/
  141. ultralytics-main/ultralytics/yolo/data/scripts/download_weights.sh 635B
  142. ultralytics-main/ultralytics/yolo/data/scripts/get_coco.sh 1.68KB
  143. ultralytics-main/ultralytics/yolo/data/scripts/get_coco128.sh 613B
  144. ultralytics-main/ultralytics/yolo/data/scripts/get_imagenet.sh 1.63KB
  145. ultralytics-main/ultralytics/yolo/data/utils.py 13.11KB
  146. ultralytics-main/ultralytics/yolo/engine/
  147. ultralytics-main/ultralytics/yolo/engine/__init__.py
  148. ultralytics-main/ultralytics/yolo/engine/exporter.py 39.35KB
  149. ultralytics-main/ultralytics/yolo/engine/model.py 8.45KB
  150. ultralytics-main/ultralytics/yolo/engine/predictor.py 11.65KB
  151. ultralytics-main/ultralytics/yolo/engine/trainer.py 24.8KB
  152. ultralytics-main/ultralytics/yolo/engine/validator.py 8.79KB
  153. ultralytics-main/ultralytics/yolo/utils/
  154. ultralytics-main/ultralytics/yolo/utils/__init__.py 13.49KB
  155. ultralytics-main/ultralytics/yolo/utils/autobatch.py 2.94KB
  156. ultralytics-main/ultralytics/yolo/utils/callbacks/
  157. ultralytics-main/ultralytics/yolo/utils/callbacks/__init__.py 63B
  158. ultralytics-main/ultralytics/yolo/utils/callbacks/base.py 3.11KB
  159. ultralytics-main/ultralytics/yolo/utils/callbacks/clearml.py 1.83KB
  160. ultralytics-main/ultralytics/yolo/utils/callbacks/comet.py 1.56KB
  161. ultralytics-main/ultralytics/yolo/utils/callbacks/hub.py 2.54KB
  162. ultralytics-main/ultralytics/yolo/utils/callbacks/tensorboard.py 723B
  163. ultralytics-main/ultralytics/yolo/utils/checks.py 9.87KB
  164. ultralytics-main/ultralytics/yolo/utils/dist.py 2.22KB
  165. ultralytics-main/ultralytics/yolo/utils/downloads.py 6.33KB
  166. ultralytics-main/ultralytics/yolo/utils/files.py 3.73KB
  167. ultralytics-main/ultralytics/yolo/utils/instance.py 11.09KB
  168. ultralytics-main/ultralytics/yolo/utils/loss.py 2.09KB
  169. ultralytics-main/ultralytics/yolo/utils/metrics.py 22.14KB
  170. ultralytics-main/ultralytics/yolo/utils/ops.py 26.65KB
  171. ultralytics-main/ultralytics/yolo/utils/plotting.py 14.3KB
  172. ultralytics-main/ultralytics/yolo/utils/tal.py 9.36KB
  173. ultralytics-main/ultralytics/yolo/utils/torch_utils.py 15.41KB
  174. ultralytics-main/ultralytics/yolo/v8/
  175. ultralytics-main/ultralytics/yolo/v8/__init__.py 296B
  176. ultralytics-main/ultralytics/yolo/v8/classify/
  177. ultralytics-main/ultralytics/yolo/v8/classify/__init__.py 274B
  178. ultralytics-main/ultralytics/yolo/v8/classify/predict.py 2.47KB
  179. ultralytics-main/ultralytics/yolo/v8/classify/train.py 6.34KB
  180. ultralytics-main/ultralytics/yolo/v8/classify/val.py 2.05KB
  181. ultralytics-main/ultralytics/yolo/v8/detect/
  182. ultralytics-main/ultralytics/yolo/v8/detect/__init__.py 175B
  183. ultralytics-main/ultralytics/yolo/v8/detect/predict.py 3.95KB
  184. ultralytics-main/ultralytics/yolo/v8/detect/train.py 9.51KB
  185. ultralytics-main/ultralytics/yolo/v8/detect/val.py 11.55KB
  186. ultralytics-main/ultralytics/yolo/v8/segment/
  187. ultralytics-main/ultralytics/yolo/v8/segment/__init__.py 184B
  188. ultralytics-main/ultralytics/yolo/v8/segment/predict.py 4.76KB
  189. ultralytics-main/ultralytics/yolo/v8/segment/train.py 6.93KB
  190. ultralytics-main/ultralytics/yolo/v8/segment/val.py 12.07KB

资源介绍:

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 introduces new features and improvements to further boost performance and flexibility. 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. 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 full documentation on training, validation, prediction and deployment. <details open> <summary>Install</summary> Pip install the ultralytics package including all [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/). ```bash pip install ultralytics ``` </details> <details open> <summary>Usage</summary> YOLOv8 may be used directly in the Command Line Interface (CLI) with a `yolo` command: ```bash yolo 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 list of available `yolo` [arguments](https://docs.ultralytics.com/config/) in the YOLOv8 [Docs](https://docs.ultralytics.com). ```bash yolo 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 the same [arguments](https://docs.ultralytics.com/config/) as in the CLI example above: ```python from ultralytics import YOLO # Load a model model = YOLO("yolov8n.yaml") # build a new model from scratch model = YOLO("yolov8n.pt") # load a pretrained model (recommended for training) # Use the model results = model.train(data="coco128.yaml", epochs=3) # train the model results = model.val() # evaluate model performance on the validation set results = model("https://ultralytics.com/images/bus.jpg") # predict on an image success = model.export(format="onnx") # export the model to ONNX format ``` [Models](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models) download automatically from the latest Ultralytics [release](https://github.com/ultralytics/assets/releases). ### Known Issues / TODOs We are still working on several parts of YOLOv8! We aim to have these completed soon to bring the YOLOv8 feature set up to par with YOLOv5, including export and inference to all the same formats. We are also writing a YOLOv8 paper which we will 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 latest Ultralytics [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
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