pytorch-image-models/models
Ross Wightman 419555be62 Update a few GenMobileNet comments 2019-04-22 12:30:55 -07:00
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__init__.py Uniform pretrained model handling. 2019-04-11 21:32:16 -07:00
adaptive_avgmax_pool.py Fix pooling in mnasnet, more sensible default for AMP opt level 2019-04-17 18:06:37 -07:00
densenet.py Add per model crop pct, interpolation defaults, tie it all together 2019-04-12 22:55:24 -07:00
dpn.py Add per model crop pct, interpolation defaults, tie it all together 2019-04-12 22:55:24 -07:00
genmobilenet.py Update a few GenMobileNet comments 2019-04-22 12:30:55 -07:00
helpers.py Add per model crop pct, interpolation defaults, tie it all together 2019-04-12 22:55:24 -07:00
inception_resnet_v2.py Add per model crop pct, interpolation defaults, tie it all together 2019-04-12 22:55:24 -07:00
inception_v4.py Add per model crop pct, interpolation defaults, tie it all together 2019-04-12 22:55:24 -07:00
median_pool.py Initial commit, puting some ol pieces together 2019-02-01 22:07:34 -08:00
model_factory.py Morph mnasnet impl into a generic mobilenet that covers Mnasnet, MobileNetV1/V2, ChamNet, FBNet, and related 2019-04-21 15:54:28 -07:00
pnasnet.py Add per model crop pct, interpolation defaults, tie it all together 2019-04-12 22:55:24 -07:00
resnet.py Add checkpoint clean script, add link to pretrained resnext50 weights 2019-04-13 14:15:35 -07:00
senet.py Add seresnet26_32x4d cfg and weights + interpolation str->PIL enum fn 2019-04-14 13:43:46 -07:00
test_time_pool.py Add per model crop pct, interpolation defaults, tie it all together 2019-04-12 22:55:24 -07:00
xception.py Add per model crop pct, interpolation defaults, tie it all together 2019-04-12 22:55:24 -07:00