b198c5a81f
support DINO algo ( #144 )
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dino_4sc_r50_12e：48.71
dino_4sc_r50_24e：50.53
dino_4sc_r50_36e：50.69
dino_4sc_swinl_12e: 56.86
dino_4sc_swinl_36e: 58.04
dino_5sc_swinl_36e: 58.47
2022-08-31 15:18:11 +08:00
e3678fbbfa
FCOS update torch_style ( #170 )
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fcos update torch style
2022-08-29 16:21:14 +08:00
19e570adde
add github config path for yolox-pai ( #166 )
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* add github config path
2022-08-26 13:50:48 +08:00
9aaa600f79
Yolox improve with REPConv/ASFF/TOOD ( #154 )
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* add attention layer and more loss function
* add attention layer and various loss functions
* add siou loss
* add tah,various attention layers, and different loss functions
* add asff sim, gsconv
* blade utils fit faster
* blade optimize for yolox static & fp16
* decode output for yolox control by cfg
* add reparameterize_models for export
* e2e trt_nms plugin export support and numeric test
* split preprocess from end2end+blade, speedup from 17ms->7.2ms
Co-authored-by: zouxinyi0625 <zouxinyi.zxy@alibaba-inc.com>
2022-08-24 18:11:15 +08:00
a75d41f606
Supplementary algo tables ( #157 )
2022-08-18 10:26:34 +08:00
a11f200ec3
refactor `get_sample` to `__getitem__` for all datasources api ( #156 )
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* refactor `get_sample` to `__getitem__` for all datasources api
* fix MMpad config
2022-08-17 14:24:17 +08:00
3a24d2cf8f
add vitdet_faster_rcnn ( #155 )
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* add vitdet_faster_Rcn and refactor vitdet_config
2022-08-10 14:37:45 +08:00
3c6c2c0b6f
add mask2former algo ( #115 )
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add mask2former algo
support panopitc pipeline
add segment predictor
2022-08-08 18:17:01 +08:00
9517bb80ff
add dn_detr algo ( #119 )
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support dn-detr-r50: 44.39
refactor set_criterion
2022-07-27 15:06:06 +08:00
8c93caa2d9
support Efficientformer algo ( #128 )
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* add efficientformer
2022-07-27 11:36:03 +08:00
4ed4974eab
update config template and fix some bugs ( #134 )
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* update yolox config template and fix bugs
2022-07-27 10:25:37 +08:00
fe081c8aba
add torchacc, support swin ( #105 )
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* add torchacc, support swin
2022-07-27 10:22:44 +08:00
5fb0a86f69
support fcos ( #100 )
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support fcos(38.57)
2022-07-12 18:07:02 +08:00
6b8b04db72
add upernet algo ( #118 )
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* add upernet algo
* fix import onnx bug
2022-07-12 11:14:09 +08:00
0b472bacf1
refactor detection, support detr and dab-detr ( #104 )
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refactor detection, support detr and dab-detr
2022-07-11 14:52:49 +08:00
368378b2af
add Fast ConvMAE ( #101 )
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* add Fast ConvMAE and Fast ConvMAE benchmark
2022-07-08 12:11:37 +08:00
e09572895b
refactor fp16 ( #94 )
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* refactor fp16 and fix AMPFP16OptimizerHook
2022-06-21 16:16:09 +08:00
5110de7635
remove RPNHeadNorm, adapted in mmlab_utils ( #90 )
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* remove RPNHeadNorm, adapted in mmlab_utils
2022-06-16 15:53:43 +08:00
0f69dbe902
Swint_cifar config bugfix ( #95 )
2022-06-16 14:46:47 +08:00
e61488d319
Support ViTDet algo ( #35 )
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* adapt mmlab modules
* add vitdet
* support conv aggregation
* modify vitdet load pretrained
* support fp16
* modify defaultformatbundle
* modify aug
* bugfix sampler
* bugfix mmresize
* bugfix fp16&nonetype
* bugfix filterannotation
* support dlc
* bugfix dist
* bugfix detsourcecoco
* smodify mmdet_parse_losses
* bugfix nan
* bugfix eval
* bugfix data=nonetype
* modify resize_embed
* support vitdet_conv
* add vitdet_conv init_weight
* add test_vitdet
* uniform rand_another
* uniform use fp16 method
* add test_fp16
Co-authored-by: jiangnana.jnn <jiangnana.jnn@alibaba-inc.com>
2022-06-10 21:49:32 +08:00
04ac412aec
fix num_classes in model of yolox_s_8xb16_300e_voc.py ( #88 )
2022-06-10 16:51:07 +08:00
859eb9286b
fix metric_learning config ( #86 )
2022-06-09 11:24:39 +08:00
3af93bdac5
YOLOX End2end & Blade Support ( #66 )
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* support export with jit.trace and jit.script and end2end
2022-06-08 20:41:15 +08:00
12e3bed42b
bugfix_swintiny ( #79 )
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1. add easycv_model default_path
2. bugfix pretrained
2022-06-06 12:03:05 +08:00
3ee118f065
Expand cls model zoo ( #55 )
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1. expand cls model zoo
2. uniform load_pretrained
2022-06-01 11:01:29 +08:00
4c1b3145e6
[feature] add segmentation modules ( #71 )
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* add segmentation module & add ResNetV1c & ResNetV1d & add benchmark
2022-05-31 20:19:17 +08:00
04e26b29cf
add moby swin-tiny pretrained model and benchmark ( #72 )
2022-05-25 14:19:28 +08:00
ecbfbbb359
fix unittest ( #57 )
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* fix unittest and skip quantize unittest
2022-05-16 15:02:12 +08:00
b5fb2b70c7
[feature]: support mmdet models config ( #25 )
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* support mmdet models
* add mmlab_models_usage_guide.md
* remove tools/test.py
2022-05-11 17:44:06 +08:00
5b62a28bec
[WIP] [doc] Metric learning tutorial ( #36 )
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* add cub_metric_learning tutorial
2022-04-27 17:50:42 +08:00
81b91086eb
feat: readthedocs support & tutorial docs refinement ( #29 )
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* readthedocs build support
* change opencv version from 4.4.0.40 to 4.1.2.30
* update config file path with github url
* fix: clone AutoAugmentPolicy from torchvision error
* reorganize requirements file
* add model compression tutorial and cls modelzoo to readme.md
* add optional req
2022-04-26 10:38:58 +08:00
04ca0d53c7
Doc/add mae benchmark ( #24 )
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* add mae large to mae benchmark
* fix dataset pipeline bug when timm using torhvision original pipeline in mae
* add mae fintune unittest
Co-authored-by: yanhaiqiang.yhq <yanhaiqiang.yhq@gitlab.alibaba-inc.com>
2022-04-24 14:53:35 +08:00
9a3826f0d2
[Feature]: support image visualization for tensorboard and wandb ( #15 )
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* [Feature]: support image visualization for tensorboard and wandb
2022-04-21 20:48:58 +08:00
b1f67f9762
update moby pretrained model to deit small ( #10 )
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* add auto publish config
* [bugfix]: fix extract.py for benchmarks
* update moby pretrained model to deit small
2022-04-18 20:39:28 +08:00
aee752e7c0
remove release_test configs and fix url link od model zoo
2022-04-07 14:28:50 +08:00
e8008e3abd
[Feature]: uniform input and output format for transforms
2022-04-06 20:02:21 +08:00
055deba53e
initial commit
2022-04-02 20:01:06 +08:00
tuofeilun
zouxinyi0625
wuziheng
Cathy0908
yhq
wenmeng zhou
jiangnana.jnn