pytorch-image-models/timm/data
Ross Wightman dfa9298b4e Add MixNet (https://arxiv.org/abs/1907.09595) with pretrained weights converted from Tensorflow impl
* refactor 'same' convolution and add helper to use MixedConv2d when needed
* improve performance of 'same' padding for cases that can be handled statically
* add support for extra exp, pw, and dw kernel specs with grouping support to decoder/string defs for MixNet
* shuffle some args for a bit more consistency, a little less clutter overall in gen_efficientnet.py
2019-07-25 11:42:01 -07:00
..
__init__.py Add basic image folder style dataset to read directly out of tar files, example in validate.py 2019-07-25 10:51:03 -07:00
config.py A number of tweaks to arguments, epoch handling, config 2019-06-28 13:49:20 -07:00
constants.py Big re-org, working towards making pip/module as 'timm' 2019-06-19 17:20:51 -07:00
dataset.py Add basic image folder style dataset to read directly out of tar files, example in validate.py 2019-07-25 10:51:03 -07:00
distributed_sampler.py Big re-org, working towards making pip/module as 'timm' 2019-06-19 17:20:51 -07:00
loader.py Add MixNet (https://arxiv.org/abs/1907.09595) with pretrained weights converted from Tensorflow impl 2019-07-25 11:42:01 -07:00
mixup.py Big re-org, working towards making pip/module as 'timm' 2019-06-19 17:20:51 -07:00
random_erasing.py Switch random erasing to doing normal_() on CPU to avoid instability, remove a debug print 2019-06-29 10:03:13 -07:00
tf_preprocessing.py Add MixNet (https://arxiv.org/abs/1907.09595) with pretrained weights converted from Tensorflow impl 2019-07-25 11:42:01 -07:00
transforms.py Switch random erasing to doing normal_() on CPU to avoid instability, remove a debug print 2019-06-29 10:03:13 -07:00