10344625be
proj_drop wasn't being called in sam vit
2024-08-02 16:12:02 -07:00
4a10302754
Add mobilenet_edgetpu_v2_m weights
2024-07-28 17:19:36 -07:00
ab8cb070fc
Add xavier_uniform init of MNVC hybrid attention modules. Small improvement in training stability.
2024-07-26 17:03:40 -07:00
cec70b6779
Merge pull request #2225 from huggingface/small_things
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Small things
2024-07-25 20:29:13 -07:00
61df3fde89
Wrong hybrid_medium in12k pool sizes
2024-07-25 15:39:21 -07:00
9aa2930760
Add latest mobilenetv4 and baseline updates for mobilenetv1 and efficientnet_b0 weights
2024-07-25 14:20:54 -07:00
7b6a406474
remove swin debug prints
2024-07-24 21:05:56 -07:00
4c531be479
set_input_size(), always_partition, strict_img_size, dynamic mask option for all swin models. More flexibility in resolution, window resizing.
2024-07-24 16:41:31 -07:00
8efdc38213
Fix #2242 add checks for out indices with intermediate getter mode
2024-07-23 08:19:09 -07:00
d2240745d3
Fix issue where feature out_indices out of order after wrapping with FeatureGetterNet due to use of set()
2024-07-22 13:33:30 -07:00
2b3f1a4633
Make channels for classic resnet configurable
2024-07-22 10:47:40 -07:00
9b2b8014e8
Add weights for test models
2024-07-22 10:08:57 -07:00
1a05ed29a1
Add to 'abswin' hiera models for train trials
2024-07-19 11:05:31 -07:00
0cbf4fa586
_orig_mod still causing issues even though I thought it was fixed in pytorch, add unwrap / clean helpers
2024-07-19 11:03:45 -07:00
4cca568bd8
eva.py: fixed bug in applying attention mask
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The mask should be applied before the softmax.
2024-07-19 15:12:04 +03:30
3a8a965891
Implement absolute+window pos embed for hiera, resizable but needs new weights
2024-07-18 21:43:37 -07:00
392b78aee7
set_input_size initial impl for vit & swin v1. Move HybridEmbed to own location in timm/layers
2024-07-17 15:25:48 -07:00
417cf7f871
Initialize weights of reg_token for ViT
2024-07-13 11:11:42 +08:00
f920119f3b
Fixing tests
2024-07-09 14:53:20 -07:00
644abf9588
Fix default_cfg test for mobilenet_100
2024-07-09 12:52:24 -07:00
d5afe106dc
Merge remote-tracking branch 'origin/tiny_test_models' into small_things
2024-07-09 12:49:57 -07:00
55101028bb
Rename test_tiny* -> test*. Fix ByobNet BasicBlock attn location and add test_byobnet model.
2024-07-09 11:53:11 -07:00
1334598462
Add support back to EfficientNet to disable head_conv / bn2 so mobilnetv1 can be implemented properly
2024-07-08 13:51:26 -07:00
800405d941
Add conv_large mobilenetv3 aa/blur model defs
2024-07-08 13:50:05 -07:00
f81b094aaa
Add 'qkv_bias_separate' flag for EVA/beit/swinv2 attn modules to allow an override for easy quantization wrappers. Fix #2098
2024-07-08 13:48:38 -07:00
c01a47c9e7
Fix typo in type annotations in timm.models.hrnet
2024-07-08 00:53:16 +02:00
197c10463b
Fix jit.script breaking with features_fx
2024-06-28 03:58:51 +00:00
b751da692d
Add latest ix (xavier init for mqa) hybrid medium & large weights for MobileNetV4
2024-06-24 13:49:55 -07:00
f8342a045a
Merge pull request #2213 from huggingface/florence2
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Fix #2212 map florence2 image tower to davit with a few changes
2024-06-24 11:01:08 -07:00
c33a001397
Fix typo
2024-06-24 21:54:38 +09:00
02d0f27721
cleanup davit padding
2024-06-22 12:06:46 -07:00
c715c724e7
Fix tracing by removing float cast, should end up float anyways
2024-06-22 08:35:30 -07:00
fb58a73033
Fix #2212 map florence2 image tower to davit with a few changes
2024-06-21 15:31:29 -07:00
fb13e6385e
Merge pull request #2203 from huggingface/more_mobile
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Add mobilenet edgetpu defs for exp, add ol mobilenet v1 back for comp…
2024-06-18 15:20:01 -07:00
16e082e1c2
Add mobilenetv4 hybrid-large weights
2024-06-17 11:08:31 -07:00
e41125cc83
Merge pull request #2209 from huggingface/fcossio-vit-maxpool
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ViT pooling refactor
2024-06-17 07:51:12 -07:00
a22466852d
Add 2400 epoch mobilenetv4 small weights, almost at paper, rounds to 73.8
2024-06-16 10:51:00 -07:00
b1a6f4a946
Some missed reset_classifier() type annotations
2024-06-16 10:39:27 -07:00
71101ebba0
Refactor vit pooling to add more reduction options, separately callable
2024-06-14 23:16:58 -07:00
a0bb5b4a44
Missing stem_kernel_size argument in EfficientNetFeatures
2024-06-14 13:39:31 -07:00
9567cf6d84
Feature: add option global_pool='max' to VisionTransformer
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Most of the CNNs have a max global pooling option. I would like to extend ViT to have this option.
2024-06-14 15:24:54 +02:00
9613c76844
Add mobilenet edgetpu defs for exp, add ol mobilenet v1 back for completeness / comparison
2024-06-13 17:33:04 -07:00
22de845add
Prepping for final MobileCLIP weight locations ( #2199 )
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* Prepping for final MobileCLIP weight locations
* Update weight locations to coreml-projects
* Update mobileclip weight locations with final apple org location
2024-06-13 16:55:49 -07:00
575978ba55
Add mnv4_conv_large 384x384 weight location
2024-06-13 12:58:04 -07:00
e42e453128
Fix mmnv4 conv_large weight link, reorder mnv4 pretrained cfg for proper precedence
2024-06-12 11:16:49 -07:00
7b0a5321cb
Merge pull request #2198 from huggingface/openai_clip_resnet
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Mapping OpenAI CLIP Modified ResNet weights -> ByobNet.
2024-06-12 09:33:30 -07:00
57adc1acc8
Fix rotary embed version of attn pool. Bit of cleanup/naming
2024-06-11 23:49:17 -07:00
cdc7bcea69
Make 2d attention pool modules compatible with head interface. Use attention pool in CLIP ResNets as head. Make separate set of GAP models w/ avg pool instead of attn pool.
2024-06-11 21:32:07 -07:00
c63da1405c
Pretrained cfg name mismatch
2024-06-11 21:16:54 -07:00
88efca1be2
First set of MobileNetV4 weights trained in timm
2024-06-11 18:53:01 -07:00
Ross Wightman
Ross Wightman
Feraidoon Mehri
Promisery
Steffen Schneider
Daniel Suess
Sejik
Fernando Cossio