报错如下：TypeError: log_sigmoid(): argument 'input' (position 1) must be Tensor, not torch.return_types.maxtorch.max()的返回类型为 torch.return_types.maxfused_scores = torch.max(scores, 0)查看 fused_scores 的输出fus

报错如下：RuntimeError: cuda runtime error (100) : no CUDA-capable device is detected at /pytorch/aten/src/THC/THCGeneral.cpp:47对于单GPU的服务器os.environ["CUDA_VISIBLE_DEVICES"] = '0'报以上的错误，可能是由于未设置成 0

Alexnet:model_urls = {‘alexnet’: ‘https://download.pytorch.org/models/alexnet-owt-4df8aa71.pth’,}vggnet:model_urls = {‘vgg11’: ‘https://download.pytorch.org/models/vgg11-bbd30ac9.pth’,‘vgg13’: ...

报错如下：File “/home/muli/anaconda3/lib/python3.5/site-packages/torchvision/transforms/functional.py”, line 158, in normalizeraise TypeError(‘tensor is not a torch image.’)TypeError: tensor is not a to...

数据集中图像裁剪scale大小:{256,384,512,640,748}

tensorflow-gpu与cuda之间的对应关系：tensorflow与Keras之间的对应关系

报错如下：File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapperFile "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapperFile "h5py/h5d.pyx", line 182, in h5py.h5d.DatasetID.read

计算CP、CR、CF1、OP、OR、OF1和mAP评价指标# -*- coding: utf-8 -*-import numpy as np#CP CR CF1 OP OR OF1mAP 的函数返回值def calculate_metrics(labels, preds):mAP = calculate_mAP(labels, preds)pc_top3, r...

ResNet 各个版本 tensorfolw下载：下载链接：https://github.com/keras-team/keras-applications/releases/tag/resnetresnet101v2_weights_tf_dim_ordering_tf_kernels.h5171 MBresnet101v2_weights_tf_dim_ordering_tf_k...

no CUDA-capable device ，可能原因时没有torch-GPU在代码中指定了GPU(多卡情况下)，而单卡中是 ‘0’os.environ["CUDA_VISIBLE_DEVICES"] = '1'将os.environ[“CUDA_VISIBLE_DEVICES”] = ‘1’ 修改为os.environ["CUDA_VISIBLE_DEVICES"] = '0'或者注释该行代码