From 708645892872bbaf1b42ffac0c2fd470fd12f450 Mon Sep 17 00:00:00 2001 From: osmr Date: Fri, 5 Mar 2021 10:35:22 +0300 Subject: [PATCH] Upd info about several models (HRNetV2-W30, RegNetY-16GF, SE-ResNeXt-101 (32x4d)) --- chainer_/README.md | 6 +++--- chainer_/chainercv2/models/model_store.py | 6 +++--- gluon/README.md | 6 +++--- gluon/gluoncv2/models/model_store.py | 6 +++--- pytorch/README.md | 6 +++--- pytorch/pytorchcv/models/model_store.py | 6 +++--- tensorflow2/README.md | 6 +++--- tensorflow2/tf2cv/models/model_store.py | 6 +++--- 8 files changed, 24 insertions(+), 24 deletions(-) diff --git a/chainer_/README.md b/chainer_/README.md index f68e06a94..280fc456f 100644 --- a/chainer_/README.md +++ b/chainer_/README.md @@ -225,7 +225,7 @@ Some remarks: | SE-PreResNet-BC-38b | 21.46 | 5.66 | 24,019,064 | 3,236.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.409/sepreresnetbc38b-0566-4b9ce096.npz.log)) | | SE-PreResNet-50b | 20.75 | 5.31 | 28,080,472 | 4,113.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.461/sepreresnet50b-0531-fde03b26.npz.log)) | | SE-ResNeXt-50 (32x4d) | 18.73 | 4.35 | 27,559,896 | 4,261.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/seresnext50_32x4d-0435-52a11b61.npz.log)) | -| SE-ResNeXt-101 (32x4d) | 19.03 | 4.59 | 48,955,416 | 8,012.73M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.418/seresnext101_32x4d-0459-df43a39e.npz.log)) | +| SE-ResNeXt-101 (32x4d) | 19.40 | 4.60 | 48,955,416 | 8,012.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/seresnext101_32x4d-0460-22aca06b.npz.log)) | | SE-ResNeXt-101 (64x4d) | 18.98 | 4.68 | 88,232,984 | 15,509.54M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.418/seresnext101_64x4d-0468-ae28d0b4.npz.log)) | | SENet-16 | 25.39 | 8.07 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0807-f45aa3ff.npz.log)) | | SENet-28 | 21.65 | 5.91 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0591-7e7bf250.npz.log)) | @@ -267,7 +267,7 @@ Some remarks: | RegNetY-6.4GF | 18.91 | 4.46 | 30,583,252 | 6,388.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnety064-0446-22d3ab05.npz.log)) | | RegNetY-8.0GF | 18.78 | 4.37 | 39,180,068 | 7,996.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.516/regnety080-0437-f324b046.npz.log)) | | RegNetY-12GF | 19.13 | 4.53 | 51,822,544 | 12,132.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.524/regnety120-0453-d35fa1b0.npz.log)) | -| RegNetY-16GF | 19.63 | 4.95 | 83,590,140 | 15,944.53M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety160-0495-a8102b65.npz.log)) | +| RegNetY-16GF | 20.21 | 4.83 | 83,590,140 | 15,944.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/regnety160-0483-af0774ec.npz.log)) | | RegNetY-32GF | 19.14 | 4.58 | 145,046,770 | 32,317.66M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety320-0458-e26048d1.npz.log)) | | PyramidNet-101 (a=360) | 20.43 | 5.20 | 42,455,070 | 8,743.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.507/pyramidnet101_a360-0520-e37960c4.npz.log)) | | DiracNetV2-18 | 30.60 | 11.13 | 11,511,784 | 1,796.62M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet18v2-1113-b85b43d1.npz.log)) | @@ -324,7 +324,7 @@ Some remarks: | HRNet-W18 Small V1 | 26.24 | 8.73 | 13,187,464 | 1,615.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/hrnet_w18_small_v1-0873-96476e4b.npz.log)) | | HRNet-W18 Small V2 | 21.73 | 6.03 | 15,597,464 | 2,618.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/hrnet_w18_small_v2-0603-87be5731.npz.log)) | | HRNetV2-W18 | 20.12 | 5.04 | 21,299,004 | 4,323.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/hrnetv2_w18-0504-27b854bf.npz.log)) | -| HRNetV2-W30 | 22.28 | 6.07 | 37,712,220 | 8,156.82M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w30-0607-f685319f.npz.log)) | +| HRNetV2-W30 | 20.26 | 5.06 | 37,712,220 | 8,156.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/hrnetv2_w30-0506-04453d82.npz.log)) | | HRNetV2-W32 | 22.32 | 6.07 | 41,232,680 | 8,974.04M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w32-0607-0b9c71a6.npz.log)) | | HRNetV2-W40 | 21.72 | 5.73 | 57,557,160 | 12,752.26M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w40-0573-340d594a.npz.log)) | | HRNetV2-W44 | 21.74 | 5.93 | 67,064,984 | 14,946.96M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w44-0593-8426d89a.npz.log)) | diff --git a/chainer_/chainercv2/models/model_store.py b/chainer_/chainercv2/models/model_store.py index 88370abff..567939cea 100644 --- a/chainer_/chainercv2/models/model_store.py +++ b/chainer_/chainercv2/models/model_store.py @@ -91,7 +91,7 @@ ('sepreresnetbc38b', '0566', '4b9ce0969cc05e5a710fed7073132ad025789091', 'v0.0.409'), ('sepreresnet50b', '0531', 'fde03b262da6696c27d1de9188b0d4f35854b92b', 'v0.0.461'), ('seresnext50_32x4d', '0435', '52a11b61d67ede6016b5169d10294bce351e3862', 'v0.0.505'), - ('seresnext101_32x4d', '0459', 'df43a39efbfe351fbb4a605ef7ab2b76ed86b76b', 'v0.0.418'), + ('seresnext101_32x4d', '0460', '22aca06b01ff751164e605f14270d12efbc7ff76', 'v0.0.525'), ('seresnext101_64x4d', '0468', 'ae28d0b429fd96c3a102c499ed37b4cac0d0206d', 'v0.0.418'), ('senet16', '0807', 'f45aa3fffb8ea5148c53d031e50a3f93ab00ede0', 'v0.0.341'), ('senet28', '0591', '7e7bf250ab1bb4842f6dd32ceb93967a7c02239b', 'v0.0.356'), @@ -133,7 +133,7 @@ ('regnety064', '0446', '22d3ab05b95da9402dd8aaf08970c7fb13120b76', 'v0.0.513'), ('regnety080', '0437', 'f324b0464dc045e411606b6da836d13d5e456ce8', 'v0.0.516'), ('regnety120', '0453', 'd35fa1b00b083184e1a444662f709a4f2f65d47c', 'v0.0.524'), - ('regnety160', '0495', 'a8102b65d744bc15fcb106f6df3d8d80276e23c8', 'v0.0.473'), + ('regnety160', '0483', 'af0774ecc04c142586bb88cc7c8d8192318f0049', 'v0.0.525'), ('regnety320', '0458', 'e26048d11a550420d8c9a7c78df801ebc7eb06df', 'v0.0.473'), ('pyramidnet101_a360', '0520', 'e37960c468df05477caaf2fec90d9a81ff675cf3', 'v0.0.507'), ('diracnet18v2', '1113', 'b85b43d13697dfbddbea6e46dea4766359fff7e5', 'v0.0.111'), @@ -190,7 +190,7 @@ ('hrnet_w18_small_v1', '0873', '96476e4b15451b62abf443101a5152e34be552e2', 'v0.0.492'), ('hrnet_w18_small_v2', '0603', '87be573162d6f21af4c816a7b389a93ef9f7af85', 'v0.0.499'), ('hrnetv2_w18', '0504', '27b854bf5ec915e735ef9deb7b28049db3f32e14', 'v0.0.508'), - ('hrnetv2_w30', '0607', 'f685319f78ea409cadd98e2b43600f6bee40cbbb', 'v0.0.421'), + ('hrnetv2_w30', '0506', '04453d82f1903ef7bae24928089eee31e96b7501', 'v0.0.525'), ('hrnetv2_w32', '0607', '0b9c71a6535054ef4f9f3b4c4e1b7592400f1e70', 'v0.0.421'), ('hrnetv2_w40', '0573', '340d594a4f83a8e0f129b857512eba2f99d0208d', 'v0.0.421'), ('hrnetv2_w44', '0593', '8426d89ac900c33640a57b301f4c47db4c9a782a', 'v0.0.421'), diff --git a/gluon/README.md b/gluon/README.md index df942a070..553c687af 100644 --- a/gluon/README.md +++ b/gluon/README.md @@ -240,7 +240,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the | SE-PreResNet-BC-38b | 21.42 | 5.63 | 24,019,064 | 3,233.81M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.409/sepreresnetbc38b-0563-d8f0fbd3.params.log)) | | SE-PreResNet-50b | 20.67 | 5.32 | 28,080,472 | 4,110.51M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.461/sepreresnet50b-0532-5b620ff7.params.log)) | | SE-ResNeXt-50 (32x4d) | 18.74 | 4.33 | 27,559,896 | 4,258.40M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/seresnext50_32x4d-0433-d74d1d0a.params.log)) | -| SE-ResNeXt-101 (32x4d) | 19.07 | 4.60 | 48,955,416 | 8,008.26M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.418/seresnext101_32x4d-0460-6cb1ee64.params.log)) | +| SE-ResNeXt-101 (32x4d) | 19.34 | 4.58 | 48,955,416 | 8,008.26M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/seresnext101_32x4d-0458-30eecd54.params.log)) | | SE-ResNeXt-101 (64x4d) | 18.98 | 4.66 | 88,232,984 | 15,505.08M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.418/seresnext101_64x4d-0466-15e16730.params.log)) | | SENet-16 | 25.34 | 8.06 | 31,366,168 | 5,080.55M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0806-ba268021.params.log)) | | SENet-28 | 21.68 | 5.91 | 36,453,768 | 5,731.20M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0591-d5297a35.params.log)) | @@ -288,7 +288,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the | RegNetY-6.4GF | 18.95 | 4.45 | 30,583,252 | 6,386.79M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnety064-0445-8ae16f97.params.log)) | | RegNetY-8.0GF | 18.78 | 4.36 | 39,180,068 | 7,994.33M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.516/regnety080-0436-4cd7fc61.params.log)) | | RegNetY-12GF | 19.10 | 4.51 | 51,822,544 | 12,129.89M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.524/regnety120-0451-e1bbafc3.params.log)) | -| RegNetY-16GF | 19.69 | 4.97 | 83,590,140 | 15,941.65M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety160-0497-e458ce58.params.log)) | +| RegNetY-16GF | 20.23 | 4.82 | 83,590,140 | 15,941.65M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/regnety160-0482-b46554c0.params.log)) | | RegNetY-32GF | 19.10 | 4.58 | 145,046,770 | 32,313.76M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety320-0458-900b9591.params.log)) | | PyramidNet-101 (a=360) | 20.41 | 5.20 | 42,455,070 | 8,743.54M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.507/pyramidnet101_a360-0520-3a98a2bf.params.log)) | | DiracNetV2-18 | 30.61 | 11.17 | 11,511,784 | 1,796.62M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet18v2-1117-27601f6f.params.log)) | @@ -346,7 +346,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the | HRNet-W18 Small V1 | 26.20 | 8.73 | 13,187,464 | 1,614.87M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/hrnet_w18_small_v1-0873-1060c1c5.params.log)) | | HRNet-W18 Small V2 | 21.71 | 6.02 | 15,597,464 | 2,618.54M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/hrnet_w18_small_v2-0602-1f319e1b.params.log)) | | HRNetV2-W18 | 20.15 | 5.00 | 21,299,004 | 4,322.66M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/hrnetv2_w18-0500-0a700902.params.log)) | -| HRNetV2-W30 | 22.31 | 6.07 | 37,712,220 | 8,156.14M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w30-0607-93553fe4.params.log)) | +| HRNetV2-W30 | 20.30 | 5.08 | 37,712,220 | 8,156.14M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/hrnetv2_w30-0508-eb6afc49.params.log)) | | HRNetV2-W32 | 22.27 | 6.07 | 41,232,680 | 8,973.31M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w32-0607-e68bcf90.params.log)) | | HRNetV2-W40 | 21.72 | 5.71 | 57,557,160 | 12,751.34M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w40-0571-60aa3b9d.params.log)) | | HRNetV2-W44 | 21.73 | 5.92 | 67,064,984 | 14,945.95M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w44-0592-ff313e29.params.log)) | diff --git a/gluon/gluoncv2/models/model_store.py b/gluon/gluoncv2/models/model_store.py index 211f652c6..53eda331e 100644 --- a/gluon/gluoncv2/models/model_store.py +++ b/gluon/gluoncv2/models/model_store.py @@ -91,7 +91,7 @@ ('sepreresnetbc38b', '0563', 'd8f0fbd35b840743e312b9ec944c7fc141824ace', 'v0.0.409'), ('sepreresnet50b', '0532', '5b620ff7175c674ef41647e2e79992dceefeec19', 'v0.0.461'), ('seresnext50_32x4d', '0433', 'd74d1d0a5bd1449562e9f1de92b1389c647fdd13', 'v0.0.505'), - ('seresnext101_32x4d', '0460', '6cb1ee646fdd47b745ffa09e0e8ecfec3ce695a3', 'v0.0.418'), + ('seresnext101_32x4d', '0458', '30eecd54fa9ee8e1b9c433fb0346c60b3af7604b', 'v0.0.525'), ('seresnext101_64x4d', '0466', '15e1673077240a648027505540fc893a68401e87', 'v0.0.418'), ('senet16', '0806', 'ba26802160725af926e5a3217f8848bd3a6599fd', 'v0.0.341'), ('senet28', '0591', 'd5297a35a2e56ecc892499c1bd4373125a40b783', 'v0.0.356'), @@ -139,7 +139,7 @@ ('regnety064', '0445', '8ae16f971eacad369df091e68c26e63b8c6da9a5', 'v0.0.513'), ('regnety080', '0436', '4cd7fc61d54ec63bfeff11246e8258188351e7ed', 'v0.0.516'), ('regnety120', '0451', 'e1bbafc369b3b40be034ba85cc6445ebcfb1fdc3', 'v0.0.524'), - ('regnety160', '0497', 'e458ce58977d36ffb48043853a65e471c4a100c2', 'v0.0.473'), + ('regnety160', '0482', 'b46554c0a36ea354cf327f196668ecb6b2962311', 'v0.0.525'), ('regnety320', '0458', '900b95919cafc18d2a3404dcbe89e008f44170c2', 'v0.0.473'), ('pyramidnet101_a360', '0520', '3a98a2bfc4e74b00b5fff20783613281121a6d37', 'v0.0.507'), ('diracnet18v2', '1117', '27601f6fa54e3b10d77981f30650d7a9d4bce91e', 'v0.0.111'), @@ -197,7 +197,7 @@ ('hrnet_w18_small_v1', '0873', '1060c1c562770adb94115de1cad797684dbb5703', 'v0.0.492'), ('hrnet_w18_small_v2', '0602', '1f319e1b1990818754b97104467cfecf3401ae4e', 'v0.0.499'), ('hrnetv2_w18', '0500', '0a70090294c726c1f303e9114d23c9373695eb44', 'v0.0.508'), - ('hrnetv2_w30', '0607', '93553fe4cccd22afaac7f73937b98e8ac89850cd', 'v0.0.421'), + ('hrnetv2_w30', '0508', 'eb6afc492537295615dc465236934a9a970c1bef', 'v0.0.525'), ('hrnetv2_w32', '0607', 'e68bcf9079982540f80607d7fb1331594f721fd6', 'v0.0.421'), ('hrnetv2_w40', '0571', '60aa3b9d3a91d20535753fcef0d668aeae466b10', 'v0.0.421'), ('hrnetv2_w44', '0592', 'ff313e2963d1464251f5dbb7032502ffd028d612', 'v0.0.421'), diff --git a/pytorch/README.md b/pytorch/README.md index e56b2439d..78e1b32b1 100644 --- a/pytorch/README.md +++ b/pytorch/README.md @@ -244,7 +244,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil | SE-PreResNet-BC-38b | 21.60 | 5.78 | 24,019,064 | 3,236.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.409/sepreresnetbc38b-0578-12827fcd.pth.log)) | | SE-PreResNet-50b | 20.85 | 5.49 | 28,080,472 | 4,113.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.461/sepreresnet50b-0549-4628a07d.pth.log)) | | SE-ResNeXt-50 (32x4d) | 18.94 | 4.51 | 27,559,896 | 4,261.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/seresnext50_32x4d-0451-52029a7f.pth.log)) | -| SE-ResNeXt-101 (32x4d) | 19.22 | 4.80 | 48,955,416 | 8,012.73M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.418/seresnext101_32x4d-0480-4f6479f0.pth.log)) | +| SE-ResNeXt-101 (32x4d) | 19.67 | 4.76 | 48,955,416 | 8,012.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/seresnext101_32x4d-0476-2a3b9d3b.pth.log)) | | SE-ResNeXt-101 (64x4d) | 19.28 | 4.76 | 88,232,984 | 15,509.54M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.418/seresnext101_64x4d-0476-da806109.pth.log)) | | SENet-16 | 25.65 | 8.20 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0820-373aeafd.pth.log)) | | SENet-28 | 21.94 | 5.98 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0598-27165b63.pth.log)) | @@ -292,7 +292,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil | RegNetY-6.4GF | 19.03 | 4.56 | 30,583,252 | 6,388.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnety064-0456-bff39135.pth.log)) | | RegNetY-8.0GF | 18.91 | 4.48 | 39,180,068 | 7,996.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.516/regnety080-0448-c084bf6a.pth.log)) | | RegNetY-12GF | 19.07 | 4.61 | 51,822,544 | 12,132.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.524/regnety120-0461-6ce18cad.pth.log)) | -| RegNetY-16GF | 19.76 | 5.03 | 83,590,140 | 15,944.53M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety160-0503-2c0ad1f9.pth.log)) | +| RegNetY-16GF | 20.25 | 4.98 | 83,590,140 | 15,944.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/regnety160-0498-66977a86.pth.log)) | | RegNetY-32GF | 19.32 | 4.74 | 145,046,770 | 32,317.66M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety320-0474-643155eb.pth.log)) | | PyramidNet-101 (a=360) | 20.53 | 5.43 | 42,455,070 | 8,743.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.507/pyramidnet101_a360-0543-7f1747f8.pth.log)) | | DiracNetV2-18 | 31.47 | 11.70 | 11,511,784 | 1,796.62M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet18v2-1170-e0673770.pth.log)) | @@ -349,7 +349,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil | HRNet-W18 Small V1 | 26.48 | 9.01 | 13,187,464 | 1,615.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/hrnet_w18_small_v1-0901-30023064.pth.log)) | | HRNet-W18 Small V2 | 21.93 | 6.18 | 15,597,464 | 2,618.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/hrnet_w18_small_v2-0618-ef7b1fe4.pth.log)) | | HRNetV2-W18 | 20.20 | 5.12 | 21,299,004 | 4,323.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/hrnetv2_w18-0512-9d2b7fbf.pth.log)) | -| HRNetV2-W30 | 21.80 | 5.78 | 37,712,220 | 8,156.82M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w30-0578-839e57eb.pth.log)) | +| HRNetV2-W30 | 20.35 | 5.21 | 37,712,220 | 8,156.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/hrnetv2_w30-0521-73d7e48d.pth.log)) | | HRNetV2-W32 | 21.55 | 5.81 | 41,232,680 | 8,974.04M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w32-0581-bef9ada0.pth.log)) | | HRNetV2-W40 | 21.07 | 5.53 | 57,557,160 | 12,752.26M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w40-0553-e4b5a38a.pth.log)) | | HRNetV2-W44 | 21.11 | 5.63 | 67,064,984 | 14,946.96M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.421/hrnetv2_w44-0563-9321bfd8.pth.log)) | diff --git a/pytorch/pytorchcv/models/model_store.py b/pytorch/pytorchcv/models/model_store.py index cf9032ff4..86942e95e 100644 --- a/pytorch/pytorchcv/models/model_store.py +++ b/pytorch/pytorchcv/models/model_store.py @@ -92,7 +92,7 @@ ('sepreresnetbc38b', '0578', '12827fcd3c8c1a8c8ba1d109e85ffa67e7ab306a', 'v0.0.409', 'SE-PreResNet-BC-38b', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa ('sepreresnet50b', '0549', '4628a07d7dd92c775868dffd33fd6e3e7522c261', 'v0.0.461', 'SE-PreResNet-50b', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa ('seresnext50_32x4d', '0451', '52029a7f6170873b2d50a7016fba053e98183f7b', 'v0.0.505', 'SE-ResNeXt-50 (32x4d)', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa - ('seresnext101_32x4d', '0480', '4f6479f0801a92d35a256a47e5c11a97b3555016', 'v0.0.418', 'SE-ResNeXt-101 (32x4d)', '1709.01507', 'in1k', 224, 0.875, 200, '[dmlc/gluon-cv]'), # noqa + ('seresnext101_32x4d', '0476', '2a3b9d3bd5e54cd235f92adcdc1d8c3cb94dd18a', 'v0.0.525', 'SE-ResNeXt-101 (32x4d)', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa ('seresnext101_64x4d', '0476', 'da806109a2346be16f2b3b9aa60aa8f52bc6a1fa', 'v0.0.418', 'SE-ResNeXt-101 (64x4d)', '1709.01507', 'in1k', 224, 0.875, 200, '[dmlc/gluon-cv]'), # noqa ('senet16', '0820', '373aeafdc994c3e03bf483a9fa3ecb152353722a', 'v0.0.341', 'SENet-16', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa ('senet28', '0598', '27165b63696061e57c141314d44732aa65f807a8', 'v0.0.356', 'SENet-28', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa @@ -140,7 +140,7 @@ ('regnety064', '0456', 'bff39135d55313cb424adeb8bb4b22db7fea09ba', 'v0.0.513', 'RegNetY-6.4GF', '', 'in1k', 224, 0.875, 200, ''), # noqa ('regnety080', '0448', 'c084bf6a0ee2f7722396622fb7865ee0c19b7244', 'v0.0.516', 'RegNetY-8.0GF', '', 'in1k', 224, 0.875, 200, ''), # noqa ('regnety120', '0461', '6ce18cad1da06571d0d9e6eaaf04fe14360f1354', 'v0.0.524', 'RegNetY-12GF', '', 'in1k', 224, 0.875, 200, ''), # noqa - ('regnety160', '0503', '2c0ad1f9aad67a79390af3f5ef3dfc70fc8b517d', 'v0.0.473', 'RegNetY-16GF', '', 'in1k', 224, 0.875, 200, '[rwightman/pyt...models]'), # noqa + ('regnety160', '0498', '66977a8621f5c32259fb26e56b5679f12da46472', 'v0.0.525', 'RegNetY-16GF', '', 'in1k', 224, 0.875, 200, ''), # noqa ('regnety320', '0474', '643155ebbf529baf5c36d0894ebba86bdf789cc8', 'v0.0.473', 'RegNetY-32GF', '', 'in1k', 224, 0.875, 200, '[rwightman/pyt...models]'), # noqa ('pyramidnet101_a360', '0543', '7f1747f84b83b504ece3eb2bc3924d36343358ad', 'v0.0.507', 'PyramidNet-101 (a=360)', '1610.02915', 'in1k', 224, 0.875, 200, ''), # noqa ('diracnet18v2', '1170', 'e06737707a1f5a5c7fe4e57da92ed890b034cb9a', 'v0.0.111', 'DiracNetV2-18', '1706.00388', 'in1k', 224, 0.875, 200, '[szagoruyko/diracnets]'), # noqa @@ -197,7 +197,7 @@ ('hrnet_w18_small_v1', '0901', '300230646c0796b7ba20954a9245803ecac4cdf0', 'v0.0.492', 'HRNet-W18 Small V1', '1908.07919', 'in1k', 224, 0.875, 200, ''), # noqa ('hrnet_w18_small_v2', '0618', 'ef7b1fe4e206cadaad6a59faef1e0bc6104da825', 'v0.0.499', 'HRNet-W18 Small V2', '1908.07919', 'in1k', 224, 0.875, 200, ''), # noqa ('hrnetv2_w18', '0512', '9d2b7fbfb4a0efd878172ec8f81d517ba347a6a2', 'v0.0.508', 'HRNetV2-W18', '1908.07919', 'in1k', 224, 0.875, 200, ''), # noqa - ('hrnetv2_w30', '0578', '839e57ebc3018be3d793e5c5ce1a6655347427b7', 'v0.0.421', 'HRNetV2-W30', '1908.07919', 'in1k', 224, 0.875, 200, '[HRNet/HRNet...ation]'), # noqa + ('hrnetv2_w30', '0521', '73d7e48d2006d86c50d03ed24c92277b77fb5146', 'v0.0.525', 'HRNetV2-W30', '1908.07919', 'in1k', 224, 0.875, 200, ''), # noqa ('hrnetv2_w32', '0581', 'bef9ada0e564bdc1645f80ff69a713b2bc47cfba', 'v0.0.421', 'HRNetV2-W32', '1908.07919', 'in1k', 224, 0.875, 200, '[HRNet/HRNet...ation]'), # noqa ('hrnetv2_w40', '0553', 'e4b5a38af98c811c10d1b536f4fe48eb20d37e31', 'v0.0.421', 'HRNetV2-W40', '1908.07919', 'in1k', 224, 0.875, 200, '[HRNet/HRNet...ation]'), # noqa ('hrnetv2_w44', '0563', '9321bfd82f7f02a789dc054ac079706f0e8784c4', 'v0.0.421', 'HRNetV2-W44', '1908.07919', 'in1k', 224, 0.875, 200, '[HRNet/HRNet...ation]'), # noqa diff --git a/tensorflow2/README.md b/tensorflow2/README.md index 50f511279..0465b5bca 100644 --- a/tensorflow2/README.md +++ b/tensorflow2/README.md @@ -202,7 +202,7 @@ Some remarks: | SE-PreResNet-BC-38b | 21.44 | 5.67 | 24,019,064 | 3,236.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/sepreresnetbc38b-0567-17d10c63.tf2.h5.log)) | | SE-PreResNet-50b | 20.71 | 5.31 | 28,080,472 | 4,113.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.461/sepreresnet50b-0531-0882c0e9.tf2.h5.log)) | | SE-ResNeXt-50 (32x4d) | 18.73 | 4.34 | 27,559,896 | 4,261.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/seresnext50_32x4d-0434-c265c58c.tf2.h5.log)) | -| SE-ResNeXt-101 (32x4d) | 19.01 | 4.59 | 48,955,416 | 8,012.73M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/seresnext101_32x4d-0459-13a9b2fd.tf2.h5.log)) | +| SE-ResNeXt-101 (32x4d) | 19.36 | 4.62 | 48,955,416 | 8,012.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/seresnext101_32x4d-0462-a88bd5bb.tf2.h5.log)) | | SE-ResNeXt-101 (64x4d) | 18.96 | 4.65 | 88,232,984 | 15,509.54M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/seresnext101_64x4d-0465-ec0a3b13.tf2.h5.log)) | | SENet-16 | 25.37 | 8.05 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/senet16-0805-f5f57656.tf2.h5.log)) | | SENet-28 | 21.68 | 5.90 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/senet28-0590-667d5687.tf2.h5.log)) | @@ -250,7 +250,7 @@ Some remarks: | RegNetY-6.4GF | 18.96 | 4.42 | 30,583,252 | 6,388.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnety064-0442-d7aaab23.tf2.h5.log)) | | RegNetY-8.0GF | 18.77 | 4.39 | 39,180,068 | 7,996.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.516/regnety080-0439-e9b5f16a.tf2.h5.log)) | | RegNetY-12GF | 19.08 | 4.53 | 51,822,544 | 12,132.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.524/regnety120-0453-36049cac.tf2.h5.log)) | -| RegNetY-16GF | 19.66 | 4.97 | 83,590,140 | 15,944.53M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety160-0497-239036d5.tf2.h5.log)) | +| RegNetY-16GF | 20.25 | 4.83 | 83,590,140 | 15,944.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/regnety160-0483-97624901.tf2.h5.log)) | | RegNetY-32GF | 19.10 | 4.58 | 145,046,770 | 32,317.66M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnety320-0458-b9ceda18.tf2.h5.log)) | | PyramidNet-101 (a=360) | 20.42 | 5.20 | 42,455,070 | 8,743.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.507/pyramidnet101_a360-0520-a0d72160.tf2.h5.log)) | | DiracNetV2-18 | 30.59 | 11.13 | 11,511,784 | 1,796.62M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.429/diracnet18v2-1113-4d687b74.tf2.h5.log)) | @@ -298,7 +298,7 @@ Some remarks: | HRNet-W18 Small V1 | 26.23 | 8.71 | 13,187,464 | 1,614.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.492/hrnet_w18_small_v1-0871-6ae644af.tf2.h5.log)) | | HRNet-W18 Small V2 | 21.69 | 6.02 | 15,597,464 | 2,618.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/hrnet_w18_small_v2-0602-e9db4e0c.tf2.h5.log)) | | HRNetV2-W18 | 20.17 | 5.04 | 21,299,004 | 4,322.66M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/hrnetv2_w18-0504-5e025edd.tf2.h5.log)) | -| HRNetV2-W30 | 22.31 | 6.06 | 37,712,220 | 8,156.14M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.428/hrnetv2_w30-0606-4883e345.tf2.h5.log)) | +| HRNetV2-W30 | 20.33 | 5.08 | 37,712,220 | 8,156.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.525/hrnetv2_w30-0508-f4986402.tf2.h5.log)) | | HRNetV2-W32 | 22.32 | 6.07 | 41,232,680 | 8,973.31M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.428/hrnetv2_w32-0607-ef949840.tf2.h5.log)) | | HRNetV2-W40 | 21.71 | 5.73 | 57,557,160 | 12,751.34M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.428/hrnetv2_w40-0573-29cece1c.tf2.h5.log)) | | HRNetV2-W44 | 21.74 | 5.95 | 67,064,984 | 14,945.95M | From [HRNet/HRNet...ation] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.428/hrnetv2_w44-0595-a4e4781c.tf2.h5.log)) | diff --git a/tensorflow2/tf2cv/models/model_store.py b/tensorflow2/tf2cv/models/model_store.py index ef3cd90fe..abd8c8fcb 100644 --- a/tensorflow2/tf2cv/models/model_store.py +++ b/tensorflow2/tf2cv/models/model_store.py @@ -92,7 +92,7 @@ ('sepreresnetbc38b', '0567', '17d10c63f096db1b7bfb59b6c6ffe14b9c669676', 'v0.0.422', 'in1k', 0.875), ('sepreresnet50b', '0531', '0882c0e9add4dad0304443fa8a704ee28c5e1c58', 'v0.0.461', 'in1k', 0.875), ('seresnext50_32x4d', '0434', 'c265c58c0c48103c1714bbb84b84987060991ec1', 'v0.0.505', 'in1k', 0.875), - ('seresnext101_32x4d', '0459', '13a9b2fd699a3e25ee18d93a408dbaf3dee74428', 'v0.0.422', 'in1k', 0.875), + ('seresnext101_32x4d', '0462', 'a88bd5bb6452aa33a1549f2dfb89acf52f4f776d', 'v0.0.525', 'in1k', 0.875), ('seresnext101_64x4d', '0465', 'ec0a3b132256c8a7d0f92c45775d201a456f25fb', 'v0.0.422', 'in1k', 0.875), ('senet16', '0805', 'f5f576568d02a572be5276b0b64e71ce4d1c4531', 'v0.0.422', 'in1k', 0.875), ('senet28', '0590', '667d56873564cc22b2f10478d5f3d55cda580c61', 'v0.0.422', 'in1k', 0.875), @@ -140,7 +140,7 @@ ('regnety064', '0442', 'd7aaab23d152c3a31170d8a62b51615530ced837', 'v0.0.513', 'in1k', 0.875), ('regnety080', '0439', 'e9b5f16aa6b119e0db33be4e0bd358a3f6a669d3', 'v0.0.516', 'in1k', 0.875), ('regnety120', '0453', '36049cacd14193bc0ebc17fc659d3a50374e4687', 'v0.0.524', 'in1k', 0.875), - ('regnety160', '0497', '239036d580fc3f15ba78794343db03953264cf63', 'v0.0.473', 'in1k', 0.875), + ('regnety160', '0483', '9762490125183475e3362b1739937594481f1b56', 'v0.0.525', 'in1k', 0.875), ('regnety320', '0458', 'b9ceda180b07d10357fef60f988505d98f6a8ea3', 'v0.0.473', 'in1k', 0.875), ('pyramidnet101_a360', '0520', 'a0d721603c2b3b63415f5dcee5b9cc40204bb89d', 'v0.0.507', 'in1k', 0.875), ('diracnet18v2', '1113', '4d687b749342d23996d078a0984fd6affe63e47c', 'v0.0.429', 'in1k', 0.875), @@ -188,7 +188,7 @@ ('hrnet_w18_small_v1', '0871', '6ae644af92de5cb12ba6ccae0d25dc2b86204ada', 'v0.0.492', 'in1k', 0.875), ('hrnet_w18_small_v2', '0602', 'e9db4e0ccd82efbebdba9c5b03cd58b9aa99ea51', 'v0.0.499', 'in1k', 0.875), ('hrnetv2_w18', '0504', '5e025eddf2918e1592d2ca39f585b8beae5f2461', 'v0.0.508', 'in1k', 0.875), - ('hrnetv2_w30', '0606', '4883e3451691d7d14a3d7d3572aecc21f3aa8454', 'v0.0.428', 'in1k', 0.875), + ('hrnetv2_w30', '0508', 'f498640226679bee7792f50a6da403cd3836ba44', 'v0.0.525', 'in1k', 0.875), ('hrnetv2_w32', '0607', 'ef949840f95a1cd82bc7ad8795929c795058d78b', 'v0.0.428', 'in1k', 0.875), ('hrnetv2_w40', '0573', '29cece1c277ee70a91a373f3c5cb266f6a1af9e3', 'v0.0.428', 'in1k', 0.875), ('hrnetv2_w44', '0595', 'a4e4781ca1c32fc98beed3167832601ca51266c9', 'v0.0.428', 'in1k', 0.875),