YOLOv5¶

约 176 个字 50 行代码预计阅读时间 1 分钟

1¶

安装gpu版本的torch和torchvision

Previous PyTorch Versions | PyTorch

找 Wheel

例

v1.12.1

Conda

...

Wheel

OSX

pip install torch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1

Linux and Windows

# ROCM 5.1.1 (Linux only)
pip install torch==1.12.1+rocm5.1.1 torchvision==0.13.1+rocm5.1.1 torchaudio==0.12.1 --extra-index-url  https://download.pytorch.org/whl/rocm5.1.1
# CUDA 11.6
pip install torch==1.12.1+cu116 torchvision==0.13.1+cu116 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu116
# CUDA 11.3
pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113
# CUDA 10.2
pip install torch==1.12.1+cu102 torchvision==0.13.1+cu102 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu102
# CPU only
pip install torch==1.12.1+cpu torchvision==0.13.1+cpu torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cpu

2¶

ImportError: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'OpenSSL 1.0.2u  20 Dec 2019'. See: https://github.com/urllib3/urllib3/issues/2168

yolov5不要求urllib3 版本，则降低 urllib3 的版本

urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compile - 掘金

查询可安装的 urlib3 版本：

pip install urllib3==

安装

pip install urllib3==1.x

(8条消息) openssl 默认版本问题（Anaconda相关）_anaconda openssl_wjh_test的博客-CSDN博客

尝试更改 openssl 但没用

3¶

Quickstart - Ultralytics YOLOv8 Docs

主目录下创建 test.py 文件：

import torch

# Model
model = torch.hub.load("ultralytics/yolov5", "yolov5s")  # or yolov5n - yolov5x6, custom

# Images
img = "zidane.jpg"  # or file, Path, PIL, OpenCV, numpy, list

# Inference
results = model(img)

# Results
results.show()  # or .show(), .save(), .crop(), .pandas(), etc.

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.
指南中的原始的代码 https://ultralytics.com/images/zidane.jpg 需要梯子加载，提前下载，

或自定义一个图片

将 results.print() 改成 results.show()

可先下载预训练模型：

https://github.com/ultralytics/yolov5/releases/download/vx.x/yolov5n.pt

https://github.com/ultralytics/yolov5/releases/download/vx.x/yolov5s.pt

https://github.com/ultralytics/yolov5/releases/download/vx.x/yolov5m.pt

https://github.com/ultralytics/yolov5/releases/download/vx.x/yolov5l.pt

https://github.com/ultralytics/yolov5/releases/download/vx.x/yolov5x.pt

4¶

coco 数据集的图片可以在COCO - Ultralytics YOLOv8 Docs里找到

# Download data
  urls = ['http://images.cocodataset.org/zips/train2017.zip',  # 19G, 118k images
          'http://images.cocodataset.org/zips/val2017.zip',  # 1G, 5k images
          'http://images.cocodataset.org/zips/test2017.zip']  # 7G, 41k images (optional)
  download(urls, dir=dir / 'images', threads=3)

最后更新: 2023-10-24
创建日期: 2023-07-12