e861b74cf8
Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way.
2 years ago
927f031293
Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models
2 years ago
dbe7531aa3
Update scripts to support torch.compile(). Make --results_file arg more consistent across benchmark/validate/inference. Fix #1570
2 years ago
05637a4bb0
More inference script changes, arg naming, multiple output fmts at once
2 years ago
eceeb9409a
Significant ugprade to inference.py, support for different formats, formatting, etc.
2 years ago
d7e1e7144a
fix: the exeption when topk is 1
4 years ago
ffa90e04d3
fix: the exception not using default topk argument
4 years ago
5114c214fc
Change the Python interpreter to Python 3.x in the scripts
4 years ago
59ec7e6a53
Merge branch 'master' into imagenet21k_datasets_more
4 years ago
e42b140ade
Add --input-size option to scripts to specify full input dimensions from command-line
4 years ago
de6046e213
Initial commit for dataset / parser reorg to support additional datasets / types
4 years ago
f04bdc8c8e
don't forget this file
4 years ago
e8ca45854c
More models in sotabench, more control over sotabench run, dataset filename extraction consistency
4 years ago
7995295968
Merge branch 'logger' into features. Change 'logger' to '_logger'.
4 years ago
6c17d57a2c
Fix some attributions, add copyrights to some file docstrings
4 years ago
78fa0772cc
Leverage python hierachical logger
...
with this update one can tune the kind of logs generated by timm but
training and inference traces are unchanged
5 years ago
0ebcd2eca1
No default img size for inference script. Fixes #109
5 years ago
40fea63ebe
Add checkpoint averaging script. Add headers, shebangs, exec perms to all scripts
5 years ago
c6b32cbe73
A number of tweaks to arguments, epoch handling, config
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* reorganize train args
* allow resolve_data_config to be used with dict args, not just arparse
* stop incrementing epoch before save, more consistent naming vs csv, etc
* update resume and start epoch handling to match above
* stop auto-incrementing epoch in scheduler
6 years ago
6fc886acaf
Remove all prints, change most to logging calls, tweak alignment of batch logs, improve setup.py
6 years ago
aa4354f466
Big re-org, working towards making pip/module as 'timm'
6 years ago
c1a84ecb22
dataset not passed through PrefetchLoader for inference script. Fix #10
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* also, make top5 configurable for lower class count cases
6 years ago
0562b91c38
Add per model crop pct, interpolation defaults, tie it all together
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* create one resolve fn to pull together model defaults + cmd line args
* update attribution comments in some models
* test update train/validation/inference scripts
6 years ago
9c3859fb9c
Uniform pretrained model handling.
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* All models have 'default_cfgs' dict
* load/resume/pretrained helpers factored out
* pretrained load operates on state_dict based on default_cfg
* test all models in validate
* schedule, optim factor factored out
* test time pool wrapper applied based on default_cfg
6 years ago
0bc50e84f8
Lots of refactoring and cleanup.
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* Move 'test time pool' to Module that can be used by any model, remove from DPN
* Remove ResNext model file and combine with ResNet
* Remove fbresnet200 as it was an old conversion and pretrained performance not worth param count
* Cleanup adaptive avgmax pooling and add back conctat variant
* Factor out checkpoint load fn
6 years ago
1e23727f2f
Update inference script for new loader style
6 years ago
31055466fc
Fixup validate/inference script args, fix senet init for better test accuracy
6 years ago
5855b07ae0
Initial commit, puting some ol pieces together
6 years ago
Ross Wightman