7efb60c299
Add first_conv for mambaout
2024-10-09 14:11:40 -07:00
5dc5ee5b42
Add global_pool to mambaout __init__ and pass to heads
2024-10-09 14:11:40 -07:00
9d1dfe8dbe
Incorrectly named head_hidden_size
2024-10-09 14:11:40 -07:00
91e743f2dd
Mambaout tweaks
2024-10-09 14:11:40 -07:00
4542cf03f9
Add features_only, other bits to mambaout, define different base alternatives
2024-10-09 14:11:40 -07:00
c2da12c7e1
Update rw models, fix heads
2024-10-09 14:11:40 -07:00
f2086f51a0
Add mambaout builder support, pretrained weight remap
2024-10-09 14:11:40 -07:00
c6ef54eefa
Initial mambaout work
2024-10-09 14:11:40 -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
41a79e0fcb
Add overlapped stem convnext zepto weights
2024-10-08 11:26:34 -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
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
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
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
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
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
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
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
9fcbf39cdc
Add remaining sbb vit betwixt/mediumd fine-tunes
2024-08-21 10:09:38 -07:00
dc94cca0e5
Remaining Hiera sbb weights uploaded
2024-08-21 10:06:27 -07:00
a256e50457
Move padding back in front of windowing
2024-08-17 11:22:53 -07:00
7d83749207
pool size test fixes
2024-08-17 08:27:13 -07:00
1bd92bca0e
Add fused_attn flag to HieraDet attn block
2024-08-16 22:57:49 -07:00
691bb54443
Larger min input size needed
2024-08-16 17:09:19 -07:00
de3a91a7a0
Add min_input_size of 128 for hieradet/sam2
2024-08-16 15:13:56 -07:00
0b05122cda
Fixing hieradet (sam2) tests
2024-08-16 14:33:40 -07:00
e035381171
Move padding out of windowing code for hieradet, fix torchscript typing issues, make pooling MaxPool unique instances across two modules
2024-08-16 13:36:33 -07:00
146c2fbe34
Add resnet50d and efficientnet_b1 ra4 (mnv4) hparam weights
2024-08-16 12:10:00 -07:00
962958723c
More Hiera updates. Add forward_intermediates to hieradat/sam2 impl. Make both use same classifier module. Add coarse bool to intermediates.
2024-08-16 11:10:04 -07:00
f2cfb4c677
Add WIP HieraDet impl (SAM2 backbone support)
2024-08-15 17:58:15 -07:00
a50e53d41f
Rename global pos embed for Hiera abswin, factor out commonly used vit weight init fns to layers. Add a channels-last ver of normmlp head.
2024-08-15 17:46:36 -07:00
2f3fed43b8
Fix hiera init with num_classes=0, fix weight tag names for sbb2 hiera/vit weights, add LayerScale/LayerScale2d to layers
2024-08-15 11:14:38 -07:00
fee91fdd41
Update Hiera model for abswin, more stable weight init, layer-scale. ImageNet-12k weights for hiera_small_abswin, and two of the sbb vits with improved reg4 init.
2024-08-14 12:22:40 -07:00
ac3470188b
Add mobilenetv1_125 weights from ra4 / mnv4 hparam series
2024-08-14 08:47:02 -07:00
Ross Wightman
Ross Wightman
alias pillar1989