pip install segmentation-models-pytorch Latest version from source: pip install git+https://github.com/qubvel/segmentation_models.pytorch 二、创建模型 由于该库是基于PyTorch框架构建的,因此创建的细分模型只是一个PyTorch nn.Module,可以轻松地创建它: import segmentation_models_pytorch as smp model = smp....
# 导入必要的库 import torch # 导入PyTorch库 import cv2 # 导入OpenCV库,用于图像处理 from torch.utils.data import Dataset, DataLoader # 从PyTorch库中导入Dataset和DataLoader,用于构建数据集和加载数据 from torchvision import transforms # 从PyTorch的vision库中导入transforms,用于图像预处理 import numpy as ...
安装segmentation_models_pytorch 库:首先,确保你已经安装了PyTorch。然后,使用以下命令安装 segmentation_models_pytorch: bashCopy code pip install segmentation-models-pytorch 2. 导入所需的库和模型:在代码中导入 segmentation_models_pytorch 及其它必要的库: import segmentation_models_pytorch as smp import torch ...
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$ pipinstall segmentation-models-pytorch Latest version from source: $ pip install git+https://github.com/qubvel/segmentation_models.pytorch Competitions won with the library Segmentation Modelspackage is widely used in the image segmentation competitions.Hereyou can find competitions, names of the win...
segmentation_models_pytorch是一个基于PyTorch的图像分割神经网络 这个新集合由俄罗斯的程序员小哥Pavel Yakubovskiy一手打造。 github地址:https://github.com/qubvel/segmentation_models.pytorch 该库的主要功能是: 高级API(只需两行即可创建神经网络) 用于二分类和多类分割的7种模型架构(包括传奇的Unet) ...
Models API Input channels Auxiliary classification output Depth Installation Competitions won with the library Contributing Citing License ⏳ Quick start 1. Create your first Segmentation model with SMP The segmentation model is just a PyTorchtorch.nn.Module, which can be created as easy as: ...
importsegmentation_models_pytorchassmp model = smp.Unet() Depending on the task, you can change the network architecture by choosing backbones with fewer or more parameters and use pretrainded weights to initialize it: model = smp.Unet('resnet34', encoder_weights='imagenet') ...
It is very likely that the current package version for this feedstock is out of date. Checklist before merging this PR: Dependencies have been updated if changed: see upstream Tests have passed ...
Models API Input channels Auxiliary classification output Depth Installation Competitions won with the library Contributing Citing License ⏳ Quick start 1. Create your first Segmentation model with SMP The segmentation model is just a PyTorch torch.nn.Module, which can be created as easy as: impo...