pytorch-image-models

Author	SHA1	Message	Date
Ross Wightman	2681a8d618	Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop	4 years ago
Ross Wightman	9590f301a9	Merge branch 'blur' of https://github.com/VRandme/pytorch-image-models into VRandme-blur	4 years ago
talrid	6209146738	TResNet models	4 years ago
Ross Wightman	1a8f5900ab	Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.	4 years ago
Chris Ha	acd1b6cccd	Implement Functional Blur on resnet.py 1. add ResNet argument blur='' 2. implement blur for maxpool and strided convs in downsampling blocks	4 years ago
Ross Wightman	f1d5f8a6c4	Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights	4 years ago
Ross Wightman	f902bcd54c	Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases * select_conv2d -> create_conv2d * added create_attn to create attention module from string/bool/module * factor padding helpers into own file, use in both conv2d_same and avg_pool2d_same * add some more test eca resnet variants * minor tweaks, naming, comments, consistency	4 years ago
Ross Wightman	a99ec4e7d1	A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.	4 years ago
Ross Wightman	13746a33fc	Big move, layer modules and fn to timm/models/layers	4 years ago
Ross Wightman	4defbbbaa8	Fix module name mistake, start layers sub-package	4 years ago