6ee638a095
Merge pull request #2299 from huggingface/siglip_update
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Add i18n variant of so400m model w/ weights. Add two in1k fine-tunes
2024-10-09 10:25:32 -07:00
d9321b0e10
Add weights for fine-tuned siglip so400m. Add webli_i18n pretrained tags for the multi-lingual model variants (incl older base)
2024-10-09 09:04:44 -07:00
01b62264af
Add i18n variant of so400m model w/ weights. Add two in1k fine-tunes of original so400m 384x384 but at 378x378 (better matches patch14)
2024-10-08 23:40:24 -07:00
72f0edb7e8
missed first_conv for rnv2 18d
2024-10-08 12:38:54 -07:00
3ed603a2ce
Add resnet18/18d pre-act model configs for potential training. Fix #2289
2024-10-08 11:28:07 -07:00
41a79e0fcb
Add overlapped stem convnext zepto weights
2024-10-08 11:26:34 -07:00
4d4bdd64a9
Add --torchcompile-mode args to train, validation, inference, benchmark scripts
2024-10-02 15:17:53 -07:00
14d55a7cf3
Merge pull request #2292 from huggingface/inference_tests
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Do full inference test against test vectors for test_* models
2024-10-02 11:48:21 -07:00
1a2d8bb5a0
Update pip install to use whl/cpu
2024-10-02 10:26:22 -07:00
036b1f0cc9
no 2.4.1 for cpu
2024-10-02 10:18:34 -07:00
95907e69c2
Further reduce atol for model comparison, move python 3.11 + torch 2.2 -> python 3.12 + torch 2.4.1
2024-10-02 10:05:27 -07:00
fde6719403
relax tolerance on inference test
2024-10-02 09:53:17 -07:00
0e27f302a0
Do full inference test against test vectors for test_* models
2024-10-02 09:39:26 -07:00
44f1a343e7
Merge pull request #2281 from huggingface/convnext_zepto
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convnext zepto, rmsnorm experiments
2024-09-30 15:37:31 -07:00
545bd4056c
Tag along test_vit3 weights
2024-09-30 12:03:32 -07:00
69b687d4cc
Add zepto weights
2024-09-30 11:43:23 -07:00
c6e5557a5a
Mismatch pretrained_cfg
2024-09-30 11:43:23 -07:00
5d7bd2973e
convnext zepto, rmsnorm experiments
2024-09-30 11:43:23 -07:00
e3242a5258
Merge pull request #2277 from huggingface/more_tiny_test_models
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Adding some more tiny test models to train...
2024-09-22 10:28:29 -07:00
305a360f08
Merge branch 'baorepo-patch-1'
2024-09-22 10:27:35 -07:00
c1cb5641c7
Add weight fore mobilenetv4 small 0.5, change 0.25 -> 0.35
2024-09-22 10:27:01 -07:00
a22ce0a329
Merge branch 'patch-1' of https://github.com/baorepo/pytorch-image-models into baorepo-patch-1
2024-09-22 10:14:35 -07:00
9067be6a30
Add weights for new tiny test models
2024-09-22 07:59:23 -07:00
93374637c6
Merge pull request #2285 from huggingface/fix_swin_pad
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Fix reversed H & W padding for swin patch merging
2024-09-21 17:00:49 -07:00
65564f7da5
Fix reversed H & W padding for swin patch merging
2024-09-21 16:51:02 -07:00
a2f539f055
Add a few more test model defs in prep for weight upload
2024-09-21 11:38:38 -07:00
6ab2af610d
Adding some more tiny test models to train
2024-09-06 15:35:57 -07:00
ee5b1e8217
Add missing nhwc bm for 4090
2024-09-05 07:30:24 -07:00
d6b8816eda
MobilenetV4: add two more lightweight models
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Mobilenetv4 is very fast and ideal for embedded devices. However, for many low-cost, low-power embedded MCU devices, smaller models are required. Hopefully this PR will merge.
2024-09-05 02:34:11 +00:00
ef570e266d
Remove some of the older benchmark files
2024-09-04 15:38:31 -07:00
5c33776aa5
Add a bunch more benchmark sets
2024-09-04 15:35:26 -07:00
f81cbdcca9
Merge pull request #2274 from huggingface/bulk_runner_tweaks
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Better all res resolution for bulk runner
2024-09-03 12:11:56 -07:00
6c42299b3e
Back to dev version
2024-09-03 10:29:05 -07:00
a50713ce6e
Fix #2272
2024-09-02 13:20:05 -07:00
ebbe530ee4
Add MobileNetV3 RA4 (mnv4 recipe) weights
2024-09-02 13:10:34 -07:00
fa4a1e597f
Better all res resolution for bulk runner
2024-08-26 22:28:01 -07:00
b3f3a005a0
Add RTX4090 inference benchmark numbers for latest models
2024-08-26 17:15:05 -07:00
072783331f
Version 1.0.9
2024-08-23 11:47:42 -07:00
76b0e9931a
Placeholder for new mnv3 model
2024-08-23 10:11:20 -07:00
ed7aaf8d6d
Merge pull request #2264 from huggingface/group_size_eff
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Allow group_size override for more efficientnet and mobilenetv3 based…
2024-08-22 15:24:02 -07:00
bef0c124cc
Add re-run of imagenet val/ood test set results. Fixed wrong crop for models w/ diff test sizes. Add latest sbb2 and ra4 weights.
2024-08-22 11:56:05 -07:00
39e92f0c0d
mobilenet_edgetpu can use group_size override, more consistency in arg wrap/sadface w/ extra group_size arg
2024-08-22 11:44:02 -07:00
b9f020a509
Allow group_size override for more efficientnet and mobilenetv3 based models
2024-08-21 16:51:38 -07:00
26ed96b052
Create UPGRADING.md
2024-08-21 15:58:54 -07:00
29d69e8734
Update README.md
2024-08-21 15:53:04 -07:00
9f228b7fc4
Update README.md
2024-08-21 15:41:54 -07:00
00c5be7656
Merge pull request #2258 from huggingface/sbb2_vit_hiera_weights
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Update Hiera model for abswin & add more in12k weights for hiera & vit
2024-08-21 12:50:15 -07:00
17923a66bb
Add layer scale to hieradet
2024-08-21 11:23:39 -07:00
47e6958263
Add hierdet_small (non sam) model def
2024-08-21 11:05:54 -07:00
076efef73b
Merge pull request #2263 from andravin/fix-docs-install-dir
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Fix install directory in hfdocs.
2024-08-21 10:24:16 -07:00
Ross Wightman
Ross Wightman
alias pillar1989