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yolov3-master.zip
大小:1.02MB
价格:28积分
下载量:0
评分:
5.0
上传者:jing_h21
更新日期:2025-09-22

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

资源文件列表(大概)

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yolov3-master/
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yolov3-master/.dockerignore
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yolov3-master/.github/
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yolov3-master/.github/ISSUE_TEMPLATE/
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yolov3-master/.github/ISSUE_TEMPLATE/bug-report.yml
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yolov3-master/.github/ISSUE_TEMPLATE/config.yml
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yolov3-master/.github/ISSUE_TEMPLATE/feature-request.yml
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yolov3-master/.github/ISSUE_TEMPLATE/question.yml
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yolov3-master/.github/dependabot.yml
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yolov3-master/.github/workflows/
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yolov3-master/.github/workflows/ci-testing.yml
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yolov3-master/.github/workflows/cla.yml
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yolov3-master/.github/workflows/codeql-analysis.yml
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yolov3-master/.github/workflows/docker.yml
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yolov3-master/.github/workflows/format.yml
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yolov3-master/.github/workflows/greetings.yml
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yolov3-master/.github/workflows/links.yml
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yolov3-master/.github/workflows/stale.yml
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yolov3-master/.gitignore
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yolov3-master/CITATION.cff
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yolov3-master/CONTRIBUTING.md
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yolov3-master/LICENSE
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yolov3-master/README.md
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yolov3-master/README.zh-CN.md
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yolov3-master/benchmarks.py
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yolov3-master/classify/
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yolov3-master/classify/predict.py
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yolov3-master/classify/train.py
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yolov3-master/classify/tutorial.ipynb
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yolov3-master/classify/val.py
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yolov3-master/data/
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yolov3-master/data/Argoverse.yaml
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yolov3-master/data/GlobalWheat2020.yaml
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yolov3-master/data/ImageNet.yaml
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yolov3-master/data/SKU-110K.yaml
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yolov3-master/data/VisDrone.yaml
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yolov3-master/data/coco.yaml
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yolov3-master/data/coco128-seg.yaml
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yolov3-master/data/coco128.yaml
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yolov3-master/data/hyps/
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yolov3-master/data/hyps/hyp.Objects365.yaml
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yolov3-master/data/hyps/hyp.VOC.yaml
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yolov3-master/data/hyps/hyp.no-augmentation.yaml
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yolov3-master/data/hyps/hyp.scratch-high.yaml
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yolov3-master/data/hyps/hyp.scratch-low.yaml
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yolov3-master/data/hyps/hyp.scratch-med.yaml
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yolov3-master/data/images/
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yolov3-master/data/images/bus.jpg
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yolov3-master/data/images/zidane.jpg
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yolov3-master/data/objects365.yaml
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yolov3-master/data/scripts/
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yolov3-master/data/scripts/download_weights.sh
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yolov3-master/data/scripts/get_coco.sh
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yolov3-master/data/scripts/get_coco128.sh
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yolov3-master/data/scripts/get_imagenet.sh
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yolov3-master/data/voc.yaml
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yolov3-master/data/xView.yaml
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yolov3-master/detect.py
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yolov3-master/export.py
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yolov3-master/hubconf.py
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yolov3-master/models/
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yolov3-master/models/__init__.py
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yolov3-master/models/common.py
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yolov3-master/models/experimental.py
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yolov3-master/models/hub/
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yolov3-master/models/hub/anchors.yaml
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yolov3-master/models/hub/yolov5-bifpn.yaml
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yolov3-master/models/hub/yolov5-fpn.yaml
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yolov3-master/models/hub/yolov5-p2.yaml
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yolov3-master/models/hub/yolov5-p34.yaml
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yolov3-master/models/hub/yolov5-p6.yaml
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yolov3-master/models/hub/yolov5-p7.yaml
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yolov3-master/models/hub/yolov5-panet.yaml
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yolov3-master/models/hub/yolov5l6.yaml
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yolov3-master/models/hub/yolov5m6.yaml
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yolov3-master/models/hub/yolov5n6.yaml
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yolov3-master/models/hub/yolov5s-LeakyReLU.yaml
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yolov3-master/models/hub/yolov5s-ghost.yaml
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yolov3-master/models/hub/yolov5s-transformer.yaml
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yolov3-master/models/hub/yolov5s6.yaml
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yolov3-master/models/hub/yolov5x6.yaml
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yolov3-master/models/segment/
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yolov3-master/models/segment/yolov5l-seg.yaml
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yolov3-master/models/segment/yolov5m-seg.yaml
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yolov3-master/models/segment/yolov5n-seg.yaml
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yolov3-master/models/segment/yolov5s-seg.yaml
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yolov3-master/models/segment/yolov5x-seg.yaml
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yolov3-master/models/tf.py
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yolov3-master/models/yolo.py
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yolov3-master/models/yolov3-spp.yaml
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yolov3-master/models/yolov3-tiny.yaml
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yolov3-master/models/yolov3.yaml
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yolov3-master/models/yolov5l.yaml
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yolov3-master/models/yolov5m.yaml
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yolov3-master/models/yolov5n.yaml
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yolov3-master/models/yolov5s.yaml
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yolov3-master/models/yolov5x.yaml
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yolov3-master/pyproject.toml
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yolov3-master/requirements.txt
1.55KB
yolov3-master/segment/
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yolov3-master/segment/predict.py
15.83KB
yolov3-master/segment/train.py
34.34KB
yolov3-master/segment/tutorial.ipynb
42.41KB
yolov3-master/segment/val.py
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yolov3-master/train.py
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yolov3-master/tutorial.ipynb
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yolov3-master/utils/
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yolov3-master/utils/__init__.py
3.25KB
yolov3-master/utils/activations.py
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yolov3-master/utils/augmentations.py
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yolov3-master/utils/autoanchor.py
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yolov3-master/utils/autobatch.py
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yolov3-master/utils/aws/
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yolov3-master/utils/aws/__init__.py
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yolov3-master/utils/aws/mime.sh
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yolov3-master/utils/aws/resume.py
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yolov3-master/utils/aws/userdata.sh
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yolov3-master/utils/callbacks.py
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yolov3-master/utils/dataloaders.py
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yolov3-master/utils/docker/
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yolov3-master/utils/docker/Dockerfile
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yolov3-master/utils/docker/Dockerfile-arm64
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yolov3-master/utils/docker/Dockerfile-cpu
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yolov3-master/utils/downloads.py
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yolov3-master/utils/flask_rest_api/
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yolov3-master/utils/flask_rest_api/README.md
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yolov3-master/utils/flask_rest_api/example_request.py
365B
yolov3-master/utils/flask_rest_api/restapi.py
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yolov3-master/utils/general.py
49.75KB
yolov3-master/utils/google_app_engine/
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yolov3-master/utils/google_app_engine/Dockerfile
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yolov3-master/utils/google_app_engine/additional_requirements.txt
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yolov3-master/utils/google_app_engine/app.yaml
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yolov3-master/utils/loggers/
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yolov3-master/utils/loggers/__init__.py
18.03KB
yolov3-master/utils/loggers/clearml/
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yolov3-master/utils/loggers/clearml/README.md
10.55KB
yolov3-master/utils/loggers/clearml/__init__.py
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yolov3-master/utils/loggers/clearml/clearml_utils.py
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yolov3-master/utils/loggers/clearml/hpo.py
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yolov3-master/utils/loggers/comet/
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yolov3-master/utils/loggers/comet/README.md
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yolov3-master/utils/loggers/comet/__init__.py
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yolov3-master/utils/loggers/comet/comet_utils.py
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yolov3-master/utils/loggers/comet/hpo.py
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yolov3-master/utils/loggers/comet/optimizer_config.json
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yolov3-master/utils/loggers/wandb/
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yolov3-master/utils/loggers/wandb/__init__.py
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yolov3-master/utils/loggers/wandb/wandb_utils.py
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yolov3-master/utils/loss.py
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yolov3-master/utils/metrics.py
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yolov3-master/utils/plots.py
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yolov3-master/utils/segment/
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yolov3-master/utils/segment/__init__.py
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yolov3-master/utils/segment/augmentations.py
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yolov3-master/utils/segment/dataloaders.py
13.17KB
yolov3-master/utils/segment/general.py
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yolov3-master/utils/segment/loss.py
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yolov3-master/utils/segment/metrics.py
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yolov3-master/utils/segment/plots.py
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yolov3-master/utils/torch_utils.py
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yolov3-master/utils/triton.py
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yolov3-master/val.py
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资源内容介绍

yolov3///////////
<div align="center"> <p> <a align="center" href="https://ultralytics.com/yolov3" target="_blank"> <img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/main/yolov3/banner-yolov3.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/yolov3/actions/workflows/ci-testing.yml"><img src="https://github.com/ultralytics/yolov3/actions/workflows/ci-testing.yml/badge.svg" alt="YOLOv3 CI"></a> <a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="YOLOv3 Citation"></a> <a href="https://hub.docker.com/r/ultralytics/yolov3"><img src="https://img.shields.io/docker/pulls/ultralytics/yolov3?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>YOLOv3 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 YOLOv3. Please browse the YOLOv3 <a href="https://docs.ultralytics.com/yolov5">Docs</a> for details, raise an issue on <a href="https://github.com/ultralytics/yolov3/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)```bashpip 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 [YOLOv3 Docs](https://docs.ultralytics.com) 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>=3.7.0**](https://www.python.org/) environment, including [**PyTorch>=1.7**](https://pytorch.org/get-started/locally/).```bashgit clone https://github.com/ultralytics/yolov3 # clonecd yolov3pip install -r requirements.txt # install```</details><details><summary>Inference</summary>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).```pythonimport torch# Modelmodel = torch.hub.load("ultralytics/yolov3", "yolov3") # or yolov5n - yolov5x6, custom# Imagesimg = "https://ultralytics.com/images/zidane.jpg" # or file, Path, PIL, OpenCV, numpy, list# Inferenceresults = model(img)# Resultsresults.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 YOLOv3 [release](https://github.com/ultralytics/yolov5/releases) and saving results to `runs/detect`.```bashpython detect.py --weights yolov5s.pt --source 0 # webcam img.jpg # image vid.mp4 # video screen # screenshot path/ # directory list.txt

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