#安装包 pip install efficientnet_pytorch -i https://pypi.douban.com/simple 然后在自己的代码中导入使用 #加载模型 from efficientnet_pytorch import EfficientNet net = EfficientNet.from_name('efficientnet-b3') #修改全连接层输出类别数 fc_features = net._fc.in_features net._fc = nn.Linear(fc_feat...
模块包含EfficientNet的op-for-op的pytorch实现,也实现了预训练模型和示例。 安装Efficientnet pytorch Efficientnet Install via pip: pip install efficientnet_pytorch Or install from source: git clone lukemelas/EfficientNet-PyTorch cd EfficientNet-Pytorch pip install -e . keras Efficientnet From PyPI: pip inst...
打开你的命令行工具(如CMD、PowerShell、Terminal等),然后输入以下命令: bash pip install efficientnet_pytorch 这条命令会从Python包索引(PyPI)下载并安装 efficientnet_pytorch 模块及其依赖项。 3. 检查Python环境是否匹配 如果你已经安装了 efficientnet_pytorch 但仍然遇到错误,可能是因为你的Python环境设置不正确。
if stability is needed, please use 0.6.x pypi releases or clone from0.6.x branch Support for PyTorch 2.0 compile is added in train/validate/inference/benchmark, use--torchcompileargument Inference script allows more control over output, select k for top-class index + prob json, csv or parque...
First 0.4.x PyPi release w/ NFNets (& related), ByoB (GPU-Efficient, RepVGG, etc). Change feature extraction for pre-activation nets (NFNets, ResNetV2) to return features before activation. Tested with PyTorch 1.8 release. Updated CI to use 1.8. Benchmarked several arch on RTX 3090, Ti...
For the models below, the model code and weight porting from Tensorflow or MXNet Gluon to Pytorch was done by myself. There are weights/models ported by others included in this repository, they are not listed below.ModelPrec@1 (Err)Prec@5 (Err)Param #Image ScalingImage Size tf_...
So, beware pip install git+https://github.com/rwightman/pytorch-image-models installs! 0.5.x releases and a 0.5.x branch will remain stable with a cherry pick or two until dust clears. Recommend sticking to pypi install for a bit if you want stable. Jan 14, 2022 Version 0.5.4 w/ ...
First 0.4.x PyPi release w/ NFNets (& related), ByoB (GPU-Efficient, RepVGG, etc). Change feature extraction for pre-activation nets (NFNets, ResNetV2) to return features before activation. Tested with PyTorch 1.8 release. Updated CI to use 1.8. Benchmarked several arch on RTX 3090, Ti...
First 0.4.x PyPi release w/ NFNets (& related), ByoB (GPU-Efficient, RepVGG, etc). Change feature extraction for pre-activation nets (NFNets, ResNetV2) to return features before activation. Tested with PyTorch 1.8 release. Updated CI to use 1.8. ...
a bit slower than previous custom impl on some hardware (ie Ampere w/ CL), but overall fewer regressions across wider HW / PyTorch version ranges. previous impl exists asLayerNormExp2dinmodels/layers/norm.py Numerous bug fixes Currently testing for imminent PyPi 0.6.x release ...