From 537fd0b1c783f08a8fdc5a832c6c214614644174 Mon Sep 17 00:00:00 2001 From: osmr Date: Sat, 13 Mar 2021 17:12:37 +0300 Subject: [PATCH] Upd info about several models (ResNeXt-101 (32x4d), DPN-98, RegNetX-16GF, ResNeSt(A)-50, SE-ResNet-152) --- chainer_/README.md | 10 +++++----- chainer_/chainercv2/models/model_store.py | 10 +++++----- gluon/README.md | 10 +++++----- gluon/gluoncv2/models/model_store.py | 10 +++++----- pytorch/README.md | 10 +++++----- pytorch/pytorchcv/models/model_store.py | 10 +++++----- tensorflow2/README.md | 10 +++++----- tensorflow2/tf2cv/models/model_store.py | 10 +++++----- 8 files changed, 40 insertions(+), 40 deletions(-) diff --git a/chainer_/README.md b/chainer_/README.md index fddfad0d3..3ee1e2e12 100644 --- a/chainer_/README.md +++ b/chainer_/README.md @@ -208,7 +208,7 @@ Some remarks: | ResNeXt-26 (32x2d) | 26.32 | 8.49 | 9,924,136 | 1,461.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.373/resnext26_32x2d-0849-58d86996.npz.log)) | | ResNeXt-26 (32x4d) | 23.91 | 7.19 | 15,389,480 | 2,488.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.332/resnext26_32x4d-0719-62ca5090.npz.log)) | | ResNeXt-50 (32x4d) | 20.84 | 5.46 | 25,028,904 | 4,255.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.498/resnext50_32x4d-0546-d1e20cc5.npz.log)) | -| ResNeXt-101 (32x4d) | 18.54 | 4.20 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.510/resnext101_32x4d-0420-a8e1396e.npz.log)) | +| ResNeXt-101 (32x4d) | 18.51 | 4.16 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnext101_32x4d-0416-ec66f27f.npz.log)) | | ResNeXt-101 (64x4d) | 19.31 | 4.85 | 83,455,272 | 15,500.27M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.417/resnext101_64x4d-0485-b3c1a220.npz.log)) | | SE-ResNet-10 | 31.41 | 11.70 | 5,463,332 | 894.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/seresnet10-1170-2b3424cb.npz.log)) | | SE-ResNet-18 | 27.96 | 9.23 | 11,778,592 | 1,820.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.355/seresnet18-0923-b0931abe.npz.log)) | @@ -219,7 +219,7 @@ Some remarks: | SE-ResNet-50b | 20.56 | 5.30 | 28,088,024 | 4,115.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.387/seresnet50b-0530-1ac3bf50.npz.log)) | | SE-ResNet-101 | 19.59 | 4.74 | 49,326,872 | 7,602.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/seresnet101-0474-828aaed6.npz.log)) | | SE-ResNet-101b | 19.48 | 4.63 | 49,326,872 | 7,839.75M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.460/seresnet101b-0463-97cc55c3.npz.log)) | -| SE-ResNet-152 | 21.46 | 5.77 | 66,821,848 | 11,328.52M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.24/seresnet152-0577-a089ba52.npz.log)) | +| SE-ResNet-152 | 19.94 | 4.99 | 66,821,848 | 11,328.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/seresnet152-0499-9be4deeb.npz.log)) | | SE-PreResNet-10 | 33.63 | 13.11 | 5,461,668 | 894.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.377/sepreresnet10-1311-5e38607c.npz.log)) | | SE-PreResNet-18 | 27.72 | 9.39 | 11,776,928 | 1,821.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.380/sepreresnet18-0939-a78ded77.npz.log)) | | SE-PreResNet-BC-26b | 22.93 | 6.38 | 17,388,424 | 2,357.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.399/sepreresnetbc26b-0638-e8393574.npz.log)) | @@ -234,7 +234,7 @@ Some remarks: | ResNeSt(A)-BC-14 | 22.28 | 6.33 | 10,611,688 | 2,767.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/resnestabc14-0633-a76f3b83.npz.log)) | | ResNeSt(A)-18 | 23.43 | 6.94 | 12,763,784 | 2,587.50M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/resnesta18-0694-4ecaf0b7.npz.log)) | | ResNeSt(A)-BC-26 | 19.59 | 4.69 | 17,069,448 | 3,646.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/resnestabc26-0469-14cb6ca5.npz.log)) | -| ResNeSt(A)-50 | 18.88 | 4.52 | 27,483,240 | 5,403.11M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta50-0452-8cfddfdb.npz.log)) | +| ResNeSt(A)-50 | 18.98 | 4.40 | 27,483,240 | 5,403.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnesta50-0440-f3a4a191.npz.log)) | | ResNeSt(A)-101 | 17.73 | 4.00 | 48,275,016 | 10,247.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta101-0400-bd2efb42.npz.log)) | | ResNeSt(A)-200 | 16.81 | 3.39 | 70,201,544 | 22,857.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta200-0339-b521427b.npz.log)) | | ResNeSt(A)-269 | 16.40 | 3.36 | 110,929,480 | 46,012.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta269-0336-933dbe64.npz.log)) | @@ -256,7 +256,7 @@ Some remarks: | RegNetX-6.4GF | 19.64 | 4.81 | 26,209,256 | 6,491.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnetx064-0481-06504640.npz.log)) | | RegNetX-8.0GF | 19.62 | 4.67 | 39,572,648 | 8,017.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.515/regnetx080-0467-3618e40b.npz.log)) | | RegNetX-12GF | 20.29 | 5.24 | 46,106,056 | 12,124.22M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx120-0524-50b59d58.npz.log)) | -| RegNetX-16GF | 19.97 | 5.04 | 54,278,536 | 15,986.64M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx160-0504-10fd49b1.npz.log)) | +| RegNetX-16GF | 19.62 | 4.74 | 54,278,536 | 15,986.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/regnetx160-0474-ca36a68b.npz.log)) | | RegNetX-32GF | 19.57 | 4.87 | 107,811,560 | 31,790.24M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx320-0487-caa9632a.npz.log)) | | RegNetY-200MF | 28.50 | 9.55 | 3,162,996 | 203.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.476/regnety002-0955-5ba3e62c.npz.log)) | | RegNetY-400MF | 24.84 | 7.52 | 4,344,144 | 410.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/regnety004-0752-e30b7c27.npz.log)) | @@ -289,7 +289,7 @@ Some remarks: | DRN-D-54 | 22.08 | 6.23 | 35,809,176 | 28,547.38M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd54-0623-31e8eeb8.npz.log)) | | DRN-D-105 | 21.32 | 5.84 | 54,801,304 | 43,442.43M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd105-0584-c0d7657b.npz.log)) | | DPN-68 | 22.93 | 6.56 | 12,611,602 | 2,351.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.310/dpn68-0656-bf9b72e9.npz.log)) | -| DPN-98 | 20.80 | 5.53 | 61,570,728 | 11,716.51M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.34/dpn98-0553-9cd57335.npz.log)) | +| DPN-98 | 19.70 | 5.15 | 61,570,728 | 11,716.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/dpn98-0515-fbb00476.npz.log)) | | DPN-131 | 20.04 | 5.23 | 79,254,504 | 16,076.15M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.34/dpn131-0523-e3721599.npz.log)) | | DarkNet Tiny | 40.33 | 17.46 | 1,042,104 | 500.85M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.69/darknet_tiny-1746-b04fa463.npz.log)) | | DarkNet Ref | 38.09 | 16.71 | 7,319,416 | 367.59M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.64/darknet_ref-1671-b2d5721f.npz.log)) | diff --git a/chainer_/chainercv2/models/model_store.py b/chainer_/chainercv2/models/model_store.py index cb6282c7a..768cf94df 100644 --- a/chainer_/chainercv2/models/model_store.py +++ b/chainer_/chainercv2/models/model_store.py @@ -73,7 +73,7 @@ ('resnext26_32x2d', '0849', '58d86996a5e83efe1f49513b7ef5e7803f4830b6', 'v0.0.373'), ('resnext26_32x4d', '0719', '62ca50907121ceee5aada95eda7398dca69928cb', 'v0.0.332'), ('resnext50_32x4d', '0546', 'd1e20cc5a1c88a131033e2b1c4f4e06d28084c73', 'v0.0.498'), - ('resnext101_32x4d', '0420', 'a8e1396e12e2c7a79d32ebfef7e255f989798a77', 'v0.0.510'), + ('resnext101_32x4d', '0416', 'ec66f27ffcc27337c5b7d74f68cd3b0b466fb22c', 'v0.0.530'), ('resnext101_64x4d', '0485', 'b3c1a22070960a72dc9e46588fc27b57b1ff98e0', 'v0.0.417'), ('seresnet10', '1170', '2b3424cb76b192830ac243df3f5d60f2a0167e9c', 'v0.0.486'), ('seresnet18', '0923', 'b0931abe71a56c02e9c1012d34b99e469602eacc', 'v0.0.355'), @@ -84,7 +84,7 @@ ('seresnet50b', '0530', '1ac3bf504713faa817e7cf1c5e8e37fb4368a883', 'v0.0.387'), ('seresnet101', '0474', '828aaed6faa46abadbe82f5d8386acf5ebdc9430', 'v0.0.508'), ('seresnet101b', '0463', '97cc55c354860719b9c206d6808e2ebd7a019bf9', 'v0.0.460'), - ('seresnet152', '0577', 'a089ba52930e9949313b9fba00a1b2e6e68f6ea4', 'v0.0.24'), + ('seresnet152', '0499', '9be4deeb22052eb14d8e456483e9af7d2d8284a6', 'v0.0.530'), ('sepreresnet10', '1311', '5e38607cfb4971dbd01d6b98058975bbeb6ff61a', 'v0.0.377'), ('sepreresnet18', '0939', 'a78ded77bd89ce527d606ebaffb75f0cd2258b2e', 'v0.0.380'), ('sepreresnetbc26b', '0638', 'e8393574e457106c4963f7979d91b67dc7554239', 'v0.0.399'), @@ -99,7 +99,7 @@ ('resnestabc14', '0633', 'a76f3b83d2ecab7ee278000f6d205ddae648e0bf', 'v0.0.493'), ('resnesta18', '0694', '4ecaf0b7ce07224b4eb1972562ec8aa39e481796', 'v0.0.489'), ('resnestabc26', '0469', '14cb6ca540ef6cb8feb35199b015e41d69fb5df6', 'v0.0.495'), - ('resnesta50', '0452', '8cfddfdbc6bee0d0d0c6770e05710d4866513371', 'v0.0.465'), + ('resnesta50', '0440', 'f3a4a1914ea38d23a50c99b4e2e89378ab6e73b5', 'v0.0.530'), ('resnesta101', '0400', 'bd2efb4282ecce70dfb7985a2fbda9a0ee11a955', 'v0.0.465'), ('resnesta200', '0339', 'b521427b8e168879455118c21ed4d99f2d37a682', 'v0.0.465'), ('resnesta269', '0336', '933dbe64fb27a174752b77980bad3c545582c5e8', 'v0.0.465'), @@ -121,7 +121,7 @@ ('regnetx064', '0481', '06504640aee55e94949bec65fe8e776199a28e06', 'v0.0.513'), ('regnetx080', '0467', '3618e40bed12247e0f27027f09adecceafc514eb', 'v0.0.515'), ('regnetx120', '0524', '50b59d580d73bc87c063f2fdd2e2d9a77db25971', 'v0.0.473'), - ('regnetx160', '0504', '10fd49b109ceacde22284ecff5eb9e682a5345ec', 'v0.0.473'), + ('regnetx160', '0474', 'ca36a68bce3526c6ed54e50d312af1e004d09aae', 'v0.0.530'), ('regnetx320', '0487', 'caa9632aecc91b1bcfb2562dc2f7106c493e7934', 'v0.0.473'), ('regnety002', '0955', '5ba3e62c853d6216aadd189c49cfa2dc0d9fd871', 'v0.0.476'), ('regnety004', '0752', 'e30b7c274003dad0f2fa5c8e16e2e34992acc3ea', 'v0.0.481'), @@ -154,7 +154,7 @@ ('drnd54', '0623', '31e8eeb88bdbb07d8613a16471c8c5bd67ae823a', 'v0.0.116'), ('drnd105', '0584', 'c0d7657b2d3c4cf7d97ff407cd50dda5d1bd1880', 'v0.0.116'), ('dpn68', '0656', 'bf9b72e9749da4c6ee5a544639f78ac7fa85f7ce', 'v0.0.310'), - ('dpn98', '0553', '9cd5733573f7a99062d16cd8850bb82d684704bb', 'v0.0.34'), + ('dpn98', '0515', 'fbb00476a16114928f3db0eaef63c947536efabd', 'v0.0.530'), ('dpn131', '0523', 'e37215991fa7e9f49245843d53de63ef1717f293', 'v0.0.34'), ('darknet_tiny', '1746', 'b04fa46318a78e977aa5a117786968d98d325871', 'v0.0.69'), ('darknet_ref', '1671', 'b2d5721f3a5f6f05cc785d57ff7a63fe82f6325e', 'v0.0.64'), diff --git a/gluon/README.md b/gluon/README.md index d1282c650..801090ffa 100644 --- a/gluon/README.md +++ b/gluon/README.md @@ -222,7 +222,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the | ResNeXt-26 (32x2d) | 26.34 | 8.50 | 9,924,136 | 1,461.06M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.373/resnext26_32x2d-0850-a1fb4451.params.log)) | | ResNeXt-26 (32x4d) | 23.93 | 7.21 | 15,389,480 | 2,488.07M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.332/resnext26_32x4d-0721-5264d7ef.params.log)) | | ResNeXt-50 (32x4d) | 20.84 | 5.45 | 25,028,904 | 4,255.86M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.498/resnext50_32x4d-0545-748e53b3.params.log)) | -| ResNeXt-101 (32x4d) | 18.53 | 4.19 | 44,177,704 | 8,003.45M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.510/resnext101_32x4d-0419-fca3fb03.params.log)) | +| ResNeXt-101 (32x4d) | 18.46 | 4.18 | 44,177,704 | 8,003.45M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnext101_32x4d-0418-c07faa66.params.log)) | | ResNeXt-101 (64x4d) | 19.28 | 4.83 | 83,455,272 | 15,500.27M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.417/resnext101_64x4d-0483-44b79943.params.log)) | | SE-ResNet-10 | 31.36 | 11.69 | 5,463,332 | 894.08M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/seresnet10-1169-675d4b5b.params.log)) | | SE-ResNet-18 | 27.95 | 9.20 | 11,778,592 | 1,820.51M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.355/seresnet18-0920-85a6b1da.params.log)) | @@ -233,7 +233,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the | SE-ResNet-50b | 20.58 | 5.33 | 28,088,024 | 4,113.02M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.387/seresnet50b-0533-0d8f0d23.params.log)) | | SE-ResNet-101 | 19.53 | 4.75 | 49,326,872 | 7,602.76M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/seresnet101-0475-540a33f4.params.log)) | | SE-ResNet-101b | 19.46 | 4.62 | 49,326,872 | 7,835.29M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.460/seresnet101b-0462-59fae71a.params.log)) | -| SE-ResNet-152 | 21.48 | 5.77 | 66,821,848 | 11,328.52M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.11/seresnet152-0577-de6f099d.params.log)) | +| SE-ResNet-152 | 19.95 | 4.98 | 66,821,848 | 11,328.52M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/seresnet152-0498-299b377e.params.log)) | | SE-PreResNet-10 | 33.60 | 13.06 | 5,461,668 | 894.23M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.377/sepreresnet10-1306-cbdd1053.params.log)) | | SE-PreResNet-18 | 27.67 | 9.38 | 11,776,928 | 1,820.66M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.380/sepreresnet18-0938-f9645ed3.params.log)) | | SE-PreResNet-BC-26b | 22.95 | 6.36 | 17,388,424 | 2,355.57M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.399/sepreresnetbc26b-0636-33c94c9d.params.log)) | @@ -248,7 +248,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the | ResNeSt(A)-BC-14 | 22.27 | 6.34 | 10,611,688 | 2,766.86M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/resnestabc14-0634-4b0cbe8c.params.log)) | | ResNeSt(A)-18 | 23.43 | 6.89 | 12,763,784 | 2,587.11M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/resnesta18-0689-8f37b692.params.log)) | | ResNeSt(A)-BC-26 | 19.57 | 4.70 | 17,069,448 | 3,645.87M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/resnestabc26-0470-f88d49d7.params.log)) | -| ResNeSt(A)-50 | 18.89 | 4.51 | 27,483,240 | 5,402.09M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta50-0451-445a013a.params.log)) | +| ResNeSt(A)-50 | 18.99 | 4.38 | 27,483,240 | 5,402.09M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnesta50-0438-90b0faaf.params.log)) | | ResNeSt(A)-101 | 17.74 | 3.99 | 48,275,016 | 10,246.42M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta101-0399-ab6c6f89.params.log)) | | ResNeSt(A)-200 | 16.78 | 3.40 | 70,201,544 | 22,854.22M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta200-0340-3bd1f0c8.params.log)) | | ResNeSt(A)-269 | 16.38 | 3.36 | 110,929,480 | 46,005.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta269-0336-8333862a.params.log)) | @@ -276,7 +276,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the | RegNetX-6.4GF | 19.69 | 4.84 | 26,209,256 | 6,490.97M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnetx064-0484-94225eb7.params.log)) | | RegNetX-8.0GF | 19.62 | 4.66 | 39,572,648 | 8,017.90M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.515/regnetx080-0466-4086910a.params.log)) | | RegNetX-12GF | 20.34 | 5.22 | 46,106,056 | 12,124.16M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx120-0522-22c6c138.params.log)) | -| RegNetX-16GF | 20.01 | 5.05 | 54,278,536 | 15,986.59M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx160-0505-f2dac945.params.log)) | +| RegNetX-16GF | 19.60 | 4.74 | 54,278,536 | 15,986.59M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/regnetx160-0474-a1174530.params.log)) | | RegNetX-32GF | 19.57 | 4.89 | 107,811,560 | 31,790.18M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx320-0489-80ef5db7.params.log)) | | RegNetY-200MF | 28.50 | 9.53 | 3,162,996 | 203.80M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.476/regnety002-0953-b37fcac0.params.log)) | | RegNetY-400MF | 24.85 | 7.47 | 4,344,144 | 409.95M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/regnety004-0747-5626bdf4.params.log)) | @@ -310,7 +310,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the | DRN-D-54 | 22.05 | 6.27 | 35,809,176 | 28,547.38M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd54-0627-87d44c87.params.log)) | | DRN-D-105 | 21.31 | 5.81 | 54,801,304 | 43,442.43M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd105-0581-ab12d662.params.log)) | | DPN-68 | 22.87 | 6.58 | 12,611,602 | 2,351.84M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.310/dpn68-0658-07251919.params.log)) | -| DPN-98 | 20.23 | 5.28 | 61,570,728 | 11,716.51M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.17/dpn98-0528-fa5d6fca.params.log)) | +| DPN-98 | 19.68 | 5.13 | 61,570,728 | 11,716.51M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/dpn98-0513-6ec5d288.params.log)) | | DPN-131 | 20.03 | 5.22 | 79,254,504 | 16,076.15M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.17/dpn131-0522-35ac2f82.params.log)) | | DarkNet Tiny | 40.31 | 17.46 | 1,042,104 | 500.85M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.69/darknet_tiny-1746-16501793.params.log)) | | DarkNet Ref | 38.00 | 16.68 | 7,319,416 | 367.59M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.64/darknet_ref-1668-3011b4e1.params.log)) | diff --git a/gluon/gluoncv2/models/model_store.py b/gluon/gluoncv2/models/model_store.py index d8ea89ba7..6d1c9fc67 100644 --- a/gluon/gluoncv2/models/model_store.py +++ b/gluon/gluoncv2/models/model_store.py @@ -73,7 +73,7 @@ ('resnext26_32x2d', '0850', 'a1fb4451be6336d9f648ccc2c2dedacc5704904a', 'v0.0.373'), ('resnext26_32x4d', '0721', '5264d7efd606e1c95a2480050e9f03a7a2f02b09', 'v0.0.332'), ('resnext50_32x4d', '0545', '748e53b31fe716b5fdd059107d22bdfec3a31839', 'v0.0.498'), - ('resnext101_32x4d', '0419', 'fca3fb037709570a6439bcdf5c7309f5a1679ced', 'v0.0.510'), + ('resnext101_32x4d', '0418', 'c07faa66647bd25dd222b44d8782c59fcc2e3708', 'v0.0.530'), ('resnext101_64x4d', '0483', '44b79943cd9050e2703c169364334b458a8ade89', 'v0.0.417'), ('seresnet10', '1169', '675d4b5bbaaab1b87988df96819cd19e5323512c', 'v0.0.486'), ('seresnet18', '0920', '85a6b1da19645419cc3075852588cc7e7da5715f', 'v0.0.355'), @@ -84,7 +84,7 @@ ('seresnet50b', '0533', '0d8f0d23bb980621095e41de69e3a68d7aaeba45', 'v0.0.387'), ('seresnet101', '0475', '540a33f44929e9519667801003bad9167fa25576', 'v0.0.508'), ('seresnet101b', '0462', '59fae71a5db6ad1f1b5a79f7339920aa1191ed70', 'v0.0.460'), - ('seresnet152', '0577', 'de6f099dd39f374390639ca8854b2954af3c59b9', 'v0.0.11'), + ('seresnet152', '0498', '299b377e9a8f5f0b929933308c95bc0836122c9b', 'v0.0.530'), ('sepreresnet10', '1306', 'cbdd10532dd79915228f12624577c58a2daa078d', 'v0.0.377'), ('sepreresnet18', '0938', 'f9645ed3b56b85778dc697dc7749851d14e3564a', 'v0.0.380'), ('sepreresnetbc26b', '0636', '33c94c9dd2986d0643f7c432d5203294ecf2124e', 'v0.0.399'), @@ -99,7 +99,7 @@ ('resnestabc14', '0634', '4b0cbe8c59e9d764027f51670096037e2f058970', 'v0.0.493'), ('resnesta18', '0689', '8f37b6927751b27a72c1b8c625de265da9b31570', 'v0.0.489'), ('resnestabc26', '0470', 'f88d49d7bd6cdf1f448afdf4bc5dadd9921798dd', 'v0.0.495'), - ('resnesta50', '0451', '445a013a228b65a3e626fe71710ebd1c8350843a', 'v0.0.465'), + ('resnesta50', '0438', '90b0faaffb14a1a7fadfbe6348b9a60aae8ce977', 'v0.0.530'), ('resnesta101', '0399', 'ab6c6f89407d7b2cf89406f7bb62a48e86d7cabc', 'v0.0.465'), ('resnesta200', '0340', '3bd1f0c8d9a2862b89590c1c490a38d6d982522c', 'v0.0.465'), ('resnesta269', '0336', '8333862a0c016432f6cd5b45f7e9de7ee6e3f319', 'v0.0.465'), @@ -127,7 +127,7 @@ ('regnetx064', '0484', '94225eb7f92b69d91bd454422ff2b7c45e5bbc5e', 'v0.0.513'), ('regnetx080', '0466', '4086910ad9df1693db658c86f874f686a279175c', 'v0.0.515'), ('regnetx120', '0522', '22c6c13843884293f13be2d86f3087ba796258d3', 'v0.0.473'), - ('regnetx160', '0505', 'f2dac945f02a1af1b9751a3e4531e66c68a4cb98', 'v0.0.473'), + ('regnetx160', '0474', 'a1174530c82cd54171edd289b11957878409da23', 'v0.0.530'), ('regnetx320', '0489', '80ef5db7027fdadd3e6b61e67de300d6b0e68f2f', 'v0.0.473'), ('regnety002', '0953', 'b37fcac05e59ba5e751701da8e81195bbfbf3db8', 'v0.0.476'), ('regnety004', '0747', '5626bdf45eaf0f23ddc6e1b68f6ad2db7ca119cf', 'v0.0.481'), @@ -161,7 +161,7 @@ ('drnd54', '0627', '87d44c87953d98241f85007802a61e3cefd77792', 'v0.0.116'), ('drnd105', '0581', 'ab12d66220c1bbf4af5c33db78aaafc9f0d9bd5a', 'v0.0.116'), ('dpn68', '0658', '07251919c08640c94375670cbc5f0fbc312ed59b', 'v0.0.310'), - ('dpn98', '0528', 'fa5d6fca985afde21f6374e4a4d4df788d1b4c3a', 'v0.0.17'), + ('dpn98', '0513', '6ec5d288493cb094c2d56f06447660e55bc50f99', 'v0.0.530'), ('dpn131', '0522', '35ac2f82e69264e0712dcb979da4d99675e2f2aa', 'v0.0.17'), ('darknet_tiny', '1746', '16501793621fbcb137f2dfb901760c1f621fa5ec', 'v0.0.69'), ('darknet_ref', '1668', '3011b4e14b629f80da54ab57bef305d588f748ab', 'v0.0.64'), diff --git a/pytorch/README.md b/pytorch/README.md index 939aa340f..13356caf7 100644 --- a/pytorch/README.md +++ b/pytorch/README.md @@ -226,7 +226,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil | ResNeXt-26 (32x2d) | 26.63 | 8.87 | 9,924,136 | 1,461.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.373/resnext26_32x2d-0887-c3bd1307.pth.log)) | | ResNeXt-26 (32x4d) | 24.14 | 7.46 | 15,389,480 | 2,488.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.332/resnext26_32x4d-0746-1011ac35.pth.log)) | | ResNeXt-50 (32x4d) | 21.08 | 5.60 | 25,028,904 | 4,255.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.498/resnext50_32x4d-0560-d7976503.pth.log)) | -| ResNeXt-101 (32x4d) | 18.73 | 4.39 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.510/resnext101_32x4d-0439-7d3d6e51.pth.log)) | +| ResNeXt-101 (32x4d) | 18.78 | 4.34 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnext101_32x4d-0434-5ac16598.pth.log)) | | ResNeXt-101 (64x4d) | 19.58 | 5.09 | 83,455,272 | 15,500.27M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.417/resnext101_64x4d-0509-2af0b822.pth.log)) | | SE-ResNet-10 | 31.76 | 12.02 | 5,463,332 | 894.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/seresnet10-1202-8dace12e.pth.log)) | | SE-ResNet-18 | 28.18 | 9.61 | 11,778,592 | 1,820.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.355/seresnet18-0961-022123a5.pth.log)) | @@ -237,7 +237,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil | SE-ResNet-50b | 20.79 | 5.39 | 28,088,024 | 4,115.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.387/seresnet50b-0539-459e6871.pth.log)) | | SE-ResNet-101 | 19.77 | 4.92 | 49,326,872 | 7,602.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/seresnet101-0492-21336620.pth.log)) | | SE-ResNet-101b | 19.70 | 4.87 | 49,326,872 | 7,839.75M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.460/seresnet101b-0487-b83a20fd.pth.log)) | -| SE-ResNet-152 | 21.48 | 5.76 | 66,821,848 | 11,328.52M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.11/seresnet152-0576-814cf72e.pth.log)) | +| SE-ResNet-152 | 20.00 | 5.09 | 66,821,848 | 11,328.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/seresnet152-0509-33d60709.pth.log)) | | SE-PreResNet-10 | 34.03 | 13.38 | 5,461,668 | 894.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.377/sepreresnet10-1338-935ed560.pth.log)) | | SE-PreResNet-18 | 28.09 | 9.63 | 11,776,928 | 1,821.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.380/sepreresnet18-0963-c065cd9e.pth.log)) | | SE-PreResNet-BC-26b | 23.22 | 6.60 | 17,388,424 | 2,357.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.399/sepreresnetbc26b-0660-f750b2f5.pth.log)) | @@ -252,7 +252,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil | ResNeSt(A)-BC-14 | 22.46 | 6.47 | 10,611,688 | 2,767.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/resnestabc14-0647-0c3d9e34.pth.log)) | | ResNeSt(A)-18 | 23.68 | 7.07 | 12,763,784 | 2,587.50M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/resnesta18-0707-efca5a69.pth.log)) | | ResNeSt(A)-BC-26 | 19.56 | 4.76 | 17,069,448 | 3,646.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/resnestabc26-0476-7d97b206.pth.log)) | -| ResNeSt(A)-50 | 19.04 | 4.62 | 27,483,240 | 5,403.11M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta50-0462-c98fe615.pth.log)) | +| ResNeSt(A)-50 | 19.01 | 4.49 | 27,483,240 | 5,403.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnesta50-0449-53f0f6a1.pth.log)) | | ResNeSt(A)-101 | 17.83 | 4.03 | 48,275,016 | 10,247.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta101-0403-61e14773.pth.log)) | | ResNeSt(A)-200 | 16.87 | 3.39 | 70,201,544 | 22,857.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta200-0339-6dc30087.pth.log)) | | ResNeSt(A)-269 | 16.47 | 3.38 | 110,929,480 | 46,012.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta269-0338-6a555ce8.pth.log)) | @@ -280,7 +280,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil | RegNetX-6.4GF | 20.13 | 5.02 | 26,209,256 | 6,491.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnetx064-0502-c4247c93.pth.log)) | | RegNetX-8.0GF | 19.75 | 4.86 | 39,572,648 | 8,017.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.515/regnetx080-0486-1d94db03.pth.log)) | | RegNetX-12GF | 20.55 | 5.38 | 46,106,056 | 12,124.22M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx120-0538-5eb7ad44.pth.log)) | -| RegNetX-16GF | 20.07 | 5.17 | 54,278,536 | 15,986.64M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx160-0517-27653d34.pth.log)) | +| RegNetX-16GF | 19.82 | 4.87 | 54,278,536 | 15,986.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/regnetx160-0487-c65e0a7b.pth.log)) | | RegNetX-32GF | 19.65 | 4.94 | 107,811,560 | 31,790.24M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx320-0494-54a1c651.pth.log)) | | RegNetY-200MF | 28.66 | 9.80 | 3,162,996 | 203.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.476/regnety002-0980-57f04168.pth.log)) | | RegNetY-400MF | 25.02 | 7.69 | 4,344,144 | 410.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/regnety004-0769-8c36573f.pth.log)) | @@ -313,7 +313,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil | DRN-D-54 | 21.22 | 5.86 | 35,809,176 | 28,547.38M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd54-0586-bfdc1f88.pth.log)) | | DRN-D-105 | 20.62 | 5.48 | 54,801,304 | 43,442.43M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd105-0548-a643f4dc.pth.log)) | | DPN-68 | 23.24 | 6.79 | 12,611,602 | 2,351.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.310/dpn68-0679-a33c98c7.pth.log)) | -| DPN-98 | 20.81 | 5.53 | 61,570,728 | 11,716.51M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.17/dpn98-0553-52c55969.pth.log)) | +| DPN-98 | 19.81 | 5.26 | 61,570,728 | 11,716.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/dpn98-0526-e8ceea99.pth.log)) | | DPN-131 | 20.54 | 5.48 | 79,254,504 | 16,076.15M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.17/dpn131-0548-0c53e5b3.pth.log)) | | DarkNet Tiny | 40.74 | 17.84 | 1,042,104 | 500.85M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.69/darknet_tiny-1784-4561e1ad.pth.log)) | | DarkNet Ref | 38.58 | 17.18 | 7,319,416 | 367.59M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.64/darknet_ref-1718-034595b4.pth.log)) | diff --git a/pytorch/pytorchcv/models/model_store.py b/pytorch/pytorchcv/models/model_store.py index 393195343..c79b672e3 100644 --- a/pytorch/pytorchcv/models/model_store.py +++ b/pytorch/pytorchcv/models/model_store.py @@ -74,7 +74,7 @@ ('resnext26_32x2d', '0887', 'c3bd130747909a8c89546f3b3f5ce08bb4f55731', 'v0.0.373', 'ResNeXt-26 (32x2d)', '1611.05431', 'in1k', 224, 0.875, 200, ''), # noqa ('resnext26_32x4d', '0746', '1011ac35e30d753b79f0600a5376c87a37b67a61', 'v0.0.332', 'ResNeXt-26 (32x4d)', '1611.05431', 'in1k', 224, 0.875, 200, ''), # noqa ('resnext50_32x4d', '0560', 'd7976503d13734114364e0dfef1d22f6d76546d9', 'v0.0.498', 'ResNeXt-50 (32x4d)', '1611.05431', 'in1k', 224, 0.875, 200, ''), # noqa - ('resnext101_32x4d', '0439', '7d3d6e511b864fb36282b540b574486e6d2a0807', 'v0.0.510', 'ResNeXt-101 (32x4d)', '1611.05431', 'in1k', 224, 0.875, 200, ''), # noqa + ('resnext101_32x4d', '0434', '5ac165981bac62627719b3362b31b456cba05df4', 'v0.0.530', 'ResNeXt-101 (32x4d)', '1611.05431', 'in1k', 224, 0.875, 200, ''), # noqa ('resnext101_64x4d', '0509', '2af0b82274bbcf5ee75575c58c3dd6a4a292b0ae', 'v0.0.417', 'ResNeXt-101 (64x4d)', '1611.05431', 'in1k', 224, 0.875, 200, '[dmlc/gluon-cv]'), # noqa ('seresnet10', '1202', '8dace12e6aaac68d3c272f52b2513a5b40a4f959', 'v0.0.486', 'SE-ResNet-10', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa ('seresnet18', '0961', '022123a5e88c9917e63165f5b5a7808a606d452a', 'v0.0.355', 'SE-ResNet-18', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa @@ -85,7 +85,7 @@ ('seresnet50b', '0539', '459e6871e944d1c7102ee9c055ea428b8d9a168c', 'v0.0.387', 'SE-ResNet-50b', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa ('seresnet101', '0492', '213366202f6bc5f35c56ddf59665d67f7ff942ec', 'v0.0.508', 'SE-ResNet-101', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa ('seresnet101b', '0487', 'b83a20fd2ad9a32e0fe5cb3daef45aac03ea3194', 'v0.0.460', 'SE-ResNet-101b', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa - ('seresnet152', '0576', '814cf72e0deeab530332b16fb9b609e574afec61', 'v0.0.11', 'SE-ResNet-152', '1709.01507', 'in1k', 224, 0.875, 200, '[Cadene/pretrained...pytorch]'), # noqa + ('seresnet152', '0509', '33d60709cfb7944240c29b3bb15157caea257f04', 'v0.0.530', 'SE-ResNet-152', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa ('sepreresnet10', '1338', '935ed56009a64c893153cdba8e4a4f87f7184e71', 'v0.0.377', 'SE-PreResNet-10', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa ('sepreresnet18', '0963', 'c065cd9e1c026d0529526cfc945c137bade6f0c7', 'v0.0.380', 'SE-PreResNet-18', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa ('sepreresnetbc26b', '0660', 'f750b2f588a27620b30c86f0060a41422d4a0f75', 'v0.0.399', 'SE-PreResNet-BC-26b', '1709.01507', 'in1k', 224, 0.875, 200, ''), # noqa @@ -100,7 +100,7 @@ ('resnestabc14', '0647', '0c3d9e34aebf0dee0dbcbb937eb54f2a7fc8f64a', 'v0.0.493', 'ResNeSt(A)-BC-14', '2004.08955', 'in1k', 224, 0.875, 200, ''), # noqa ('resnesta18', '0707', 'efca5a69587dcdff3aa5d3d7cbd621d082299e27', 'v0.0.489', 'ResNeSt(A)-18', '2004.08955', 'in1k', 224, 0.875, 200, ''), # noqa ('resnestabc26', '0476', '7d97b20648e1f38454e6f5b1fe796c8eaf6e7e74', 'v0.0.495', 'ResNeSt(A)-BC-26', '2004.08955', 'in1k', 224, 0.875, 200, ''), # noqa - ('resnesta50', '0462', 'c98fe61543ea770d120d157eed2030c60a6bc70d', 'v0.0.465', 'ResNeSt(A)-50', '2004.08955', 'in1k', 224, 0.875, 200, ''), # noqa + ('resnesta50', '0449', '53f0f6a132fbbbcda429bb416e3f8397be0c8c13', 'v0.0.530', 'ResNeSt(A)-50', '2004.08955', 'in1k', 224, 0.875, 200, ''), # noqa ('resnesta101', '0403', '61e147732069b54ed4da4b342b1b8526a0e9df54', 'v0.0.465', 'ResNeSt(A)-101', '2004.08955', 'in1k', 224, 0.875, 200, ''), # noqa ('resnesta200', '0339', '6dc300871b186950ee64fd28bb168f7fb4a036e3', 'v0.0.465', 'ResNeSt(A)-200', '2004.08955', 'in1k', 256, 0.875, 150, ''), # noqa ('resnesta269', '0338', '6a555ce85eb177299eb43747cf019a50d3a143c1', 'v0.0.465', 'ResNeSt(A)-269', '2004.08955', 'in1k', 320, 0.875, 100, ''), # noqa @@ -128,7 +128,7 @@ ('regnetx064', '0502', 'c4247c938a0aad2a5ee29d84e336c41be0448c34', 'v0.0.513', 'RegNetX-6.4GF', '', 'in1k', 224, 0.875, 200, ''), # noqa ('regnetx080', '0486', '1d94db030638ab1dd01c644be700a14e5d05ca74', 'v0.0.515', 'RegNetX-8.0GF', '', 'in1k', 224, 0.875, 200, ''), # noqa ('regnetx120', '0538', '5eb7ad44af359b980da57a849e93973dcfe2646f', 'v0.0.473', 'RegNetX-12GF', '', 'in1k', 224, 0.875, 200, '[rwightman/pyt...models]'), # noqa - ('regnetx160', '0517', '27653d34da3b42c6a868fb2a3ad404107bdeacda', 'v0.0.473', 'RegNetX-16GF', '', 'in1k', 224, 0.875, 200, '[rwightman/pyt...models]'), # noqa + ('regnetx160', '0487', 'c65e0a7bfb6232e5d619243e0c3de2b3078bbee0', 'v0.0.530', 'RegNetX-16GF', '', 'in1k', 224, 0.875, 200, ''), # noqa ('regnetx320', '0494', '54a1c651c4a248af6fc64f34fce27ede65b32785', 'v0.0.473', 'RegNetX-32GF', '', 'in1k', 224, 0.875, 200, '[rwightman/pyt...models]'), # noqa ('regnety002', '0980', '57f04168f284797b799d624d906f5d38dcf23177', 'v0.0.476', 'RegNetY-200MF', '', 'in1k', 224, 0.875, 200, '[rwightman/pyt...models]'), # noqa ('regnety004', '0769', '8c36573f17d3ef2ab8770be2593e94d714b035d7', 'v0.0.481', 'RegNetY-400MF', '', 'in1k', 224, 0.875, 200, '[rwightman/pyt...models]'), # noqa @@ -161,7 +161,7 @@ ('drnd54', '0586', 'bfdc1f8826027b247e2757be45b176b3b91b9ea3', 'v0.0.116', 'DRN-D-54', '1705.09914', 'in1k', 224, 0.875, 200, '[fyu/drn]'), # noqa ('drnd105', '0548', 'a643f4dcf9e4b69eab06b76e54ce22169f837592', 'v0.0.116', 'DRN-D-105', '1705.09914', 'in1k', 224, 0.875, 200, '[fyu/drn]'), # noqa ('dpn68', '0679', 'a33c98c783cbf93cca4cc9ce1584da50a6b12077', 'v0.0.310', 'DPN-68', '1707.01629', 'in1k', 224, 0.875, 200, ''), # noqa - ('dpn98', '0553', '52c55969835d56185afa497c43f09df07f58f0d3', 'v0.0.17', 'DPN-98', '1707.01629', 'in1k', 224, 0.875, 200, '[Cadene/pretrained...pytorch]'), # noqa + ('dpn98', '0526', 'e8ceea999bc52c4ccfdd0f35fd03ea5bbde1d387', 'v0.0.530', 'DPN-98', '1707.01629', 'in1k', 224, 0.875, 200, ''), # noqa ('dpn131', '0548', '0c53e5b380137ccb789e932775e8bd8a811eeb3e', 'v0.0.17', 'DPN-131', '1707.01629', 'in1k', 224, 0.875, 200, '[Cadene/pretrained...pytorch]'), # noqa ('darknet_tiny', '1784', '4561e1ada619e33520d1f765b3321f7f8ea6196b', 'v0.0.69', 'DarkNet Tiny', '', 'in1k', 224, 0.875, 200, ''), # noqa ('darknet_ref', '1718', '034595b49113ee23de72e36f7d8a3dbb594615f6', 'v0.0.64', 'DarkNet Ref', '', 'in1k', 224, 0.875, 200, ''), # noqa diff --git a/tensorflow2/README.md b/tensorflow2/README.md index ac97ee299..19cf43174 100644 --- a/tensorflow2/README.md +++ b/tensorflow2/README.md @@ -184,7 +184,7 @@ Some remarks: | ResNeXt-26 (32x2d) | 26.32 | 8.51 | 9,924,136 | 1,461.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/resnext26_32x2d-0851-827791cc.tf2.h5.log)) | | ResNeXt-26 (32x4d) | 23.94 | 7.18 | 15,389,480 | 2,488.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/resnext26_32x4d-0718-4f05525e.tf2.h5.log)) | | ResNeXt-50 (32x4d) | 20.82 | 5.47 | 25,028,904 | 4,255.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.498/resnext50_32x4d-0547-7f89b9f7.tf2.h5.log)) | -| ResNeXt-101 (32x4d) | 18.53 | 4.20 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.510/resnext101_32x4d-0420-0099e8ae.tf2.h5.log)) | +| ResNeXt-101 (32x4d) | 18.50 | 4.18 | 44,177,704 | 8,003.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnext101_32x4d-0418-65226e18.tf2.h5.log)) | | ResNeXt-101 (64x4d) | 19.31 | 4.84 | 83,455,272 | 15,500.27M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/resnext101_64x4d-0484-f8cf1580.tf2.h5.log)) | | SE-ResNet-10 | 31.42 | 11.71 | 5,463,332 | 894.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.486/seresnet10-1171-b7907036.tf2.h5.log)) | | SE-ResNet-18 | 27.97 | 9.21 | 11,778,592 | 1,820.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/seresnet18-0921-46c847ab.tf2.h5.log)) | @@ -195,7 +195,7 @@ Some remarks: | SE-ResNet-50b | 20.58 | 5.33 | 28,088,024 | 4,115.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/seresnet50b-0533-256002c3.tf2.h5.log)) | | SE-ResNet-101 | 19.61 | 4.75 | 49,326,872 | 7,602.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.508/seresnet101-0475-935a5b7e.tf2.h5.log)) | | SE-ResNet-101b | 19.49 | 4.64 | 49,326,872 | 7,839.75M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.460/seresnet101b-0464-a10be1d2.tf2.h5.log)) | -| SE-ResNet-152 | 21.47 | 5.76 | 66,821,848 | 11,328.52M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/seresnet152-0576-8023259a.tf2.h5.log)) | +| SE-ResNet-152 | 19.95 | 5.00 | 66,821,848 | 11,328.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/seresnet152-0500-c36a97f8.tf2.h5.log)) | | SE-PreResNet-10 | 33.62 | 13.09 | 5,461,668 | 894.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/sepreresnet10-1309-af20d06c.tf2.h5.log)) | | SE-PreResNet-18 | 27.70 | 9.40 | 11,776,928 | 1,821.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/sepreresnet18-0940-fe403280.tf2.h5.log)) | | SE-PreResNet-BC-26b | 22.95 | 6.40 | 17,388,424 | 2,357.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/sepreresnetbc26b-0640-a72bf876.tf2.h5.log)) | @@ -210,7 +210,7 @@ Some remarks: | ResNeSt(A)-BC-14 | 22.27 | 6.35 | 10,611,688 | 2,767.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/resnestabc14-0635-fa9e06db.tf2.h5.log)) | | ResNeSt(A)-18 | 23.42 | 6.90 | 12,763,784 | 2,587.50M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.489/resnesta18-0690-90c54f4b.tf2.h5.log)) | | ResNeSt(A)-BC-26 | 19.58 | 4.70 | 17,069,448 | 3,646.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.495/resnestabc26-0470-05e07501.tf2.h5.log)) | -| ResNeSt(A)-50 | 18.87 | 4.52 | 27,483,240 | 5,403.11M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta50-0452-28ac82bd.tf2.h5.log)) | +| ResNeSt(A)-50 | 18.98 | 4.40 | 27,483,240 | 5,403.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/resnesta50-0440-73089352.tf2.h5.log)) | | ResNeSt(A)-101 | 17.71 | 4.00 | 48,275,016 | 10,247.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta101-0400-bb2a90f5.tf2.h5.log)) | | ResNeSt(A)-200 | 16.81 | 3.38 | 70,201,544 | 22,857.88M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta200-0338-29a8a745.tf2.h5.log)) | | ResNeSt(A)-269 | 16.37 | 3.36 | 110,929,480 | 46,012.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta269-0336-9a33e31b.tf2.h5.log)) | @@ -238,7 +238,7 @@ Some remarks: | RegNetX-6.4GF | 19.67 | 4.86 | 26,209,256 | 6,491.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.513/regnetx064-0486-4c80dabd.tf2.h5.log)) | | RegNetX-8.0GF | 19.62 | 4.66 | 39,572,648 | 8,017.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.515/regnetx080-0466-c101c524.tf2.h5.log)) | | RegNetX-12GF | 20.29 | 5.23 | 46,106,056 | 12,124.22M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx120-0523-4256f719.tf2.h5.log)) | -| RegNetX-16GF | 19.98 | 5.07 | 54,278,536 | 15,986.64M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx160-0507-f9023af0.tf2.h5.log)) | +| RegNetX-16GF | 19.60 | 4.75 | 54,278,536 | 15,986.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/regnetx160-0475-d2bcf2d1.tf2.h5.log)) | | RegNetX-32GF | 19.59 | 4.85 | 107,811,560 | 31,790.24M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.473/regnetx320-0485-c11d938f.tf2.h5.log)) | | RegNetY-200MF | 28.49 | 9.53 | 3,162,996 | 203.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.476/regnety002-0953-8935adba.tf2.h5.log)) | | RegNetY-400MF | 24.82 | 7.50 | 4,344,144 | 410.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.481/regnety004-0750-65a10212.tf2.h5.log)) | @@ -269,7 +269,7 @@ Some remarks: | DRN-D-54 | 22.07 | 6.26 | 35,809,176 | 28,547.38M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.425/drnd54-0626-cb792485.tf2.h5.log)) | | DRN-D-105 | 21.31 | 5.83 | 54,801,304 | 43,442.43M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.425/drnd105-0583-80eb9ec2.tf2.h5.log)) | | DPN-68 | 22.92 | 6.58 | 12,611,602 | 2,351.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.427/dpn68-0658-5b70b7b8.tf2.h5.log)) | -| DPN-98 | 20.24 | 5.28 | 61,570,728 | 11,716.51M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.427/dpn98-0528-6883ec37.tf2.h5.log)) | +| DPN-98 | 19.69 | 5.15 | 61,570,728 | 11,716.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.530/dpn98-0515-04080ec1.tf2.h5.log)) | | DPN-131 | 20.05 | 5.24 | 79,254,504 | 16,076.15M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.427/dpn131-0524-971af47c.tf2.h5.log)) | | DarkNet Tiny | 40.34 | 17.45 | 1,042,104 | 500.85M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/darknet_tiny-1745-d30be41a.tf2.h5.log)) | | DarkNet Ref | 38.10 | 16.71 | 7,319,416 | 367.59M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.422/darknet_ref-1671-b4991f6b.tf2.h5.log)) | diff --git a/tensorflow2/tf2cv/models/model_store.py b/tensorflow2/tf2cv/models/model_store.py index 342766eaa..6e30001b1 100644 --- a/tensorflow2/tf2cv/models/model_store.py +++ b/tensorflow2/tf2cv/models/model_store.py @@ -74,7 +74,7 @@ ('resnext26_32x2d', '0851', '827791ccefaef07e5837f8fb1dae8733c871c029', 'v0.0.422', 'in1k', 0.875), ('resnext26_32x4d', '0718', '4f05525e34b9aeb82db2339f714b25055d94657b', 'v0.0.422', 'in1k', 0.875), ('resnext50_32x4d', '0547', '7f89b9f7e795af30763596e201971da5b3a3c4e2', 'v0.0.498', 'in1k', 0.875), - ('resnext101_32x4d', '0420', '0099e8ae976057291ab16e55f4e3985d781af9e1', 'v0.0.510', 'in1k', 0.875), + ('resnext101_32x4d', '0418', '65226e18c3e2d54f8d82a891ffac1e29dea7ba9f', 'v0.0.530', 'in1k', 0.875), ('resnext101_64x4d', '0484', 'f8cf1580943cf3c6d6019f2fcc44f8adb857cb20', 'v0.0.422', 'in1k', 0.875), ('seresnet10', '1171', 'b7907036b3ad0b50d0203ca6c732ae3d617282c1', 'v0.0.486', 'in1k', 0.875), ('seresnet18', '0921', '46c847abfdbd82c41a096e385163f21ae29ee200', 'v0.0.422', 'in1k', 0.875), @@ -85,7 +85,7 @@ ('seresnet50b', '0533', '256002c3b489d5b685ee1ab6b62303d7768c5816', 'v0.0.422', 'in1k', 0.875), ('seresnet101', '0475', '935a5b7eb944497f4e1364ec0963565a5e7b0589', 'v0.0.508', 'in1k', 0.875), ('seresnet101b', '0464', 'a10be1d25d3112825e7b77277d6c56eb276dc799', 'v0.0.460', 'in1k', 0.875), - ('seresnet152', '0576', '8023259a13a53aa0a72d9df6468721314e702872', 'v0.0.422', 'in1k', 0.875), + ('seresnet152', '0500', 'c36a97f80d884bffe7ef77a0a766b98b0644d166', 'v0.0.530', 'in1k', 0.875), ('sepreresnet10', '1309', 'af20d06c486dc97cff0f6d9bc52a7c7458040514', 'v0.0.422', 'in1k', 0.875), ('sepreresnet18', '0940', 'fe403280f68a5dfa93366437b9ff37ce3a419cf8', 'v0.0.422', 'in1k', 0.875), ('sepreresnetbc26b', '0640', 'a72bf8765efb1024bdd33eebe9920fd3e22d0bd6', 'v0.0.422', 'in1k', 0.875), @@ -100,7 +100,7 @@ ('resnestabc14', '0635', 'fa9e06db46e7bb0b5515d5d8eeb484a7608c8a05', 'v0.0.493', 'in1k', 0.875), ('resnesta18', '0690', '90c54f4bac84b6cadeb523f72a34e9806cd60744', 'v0.0.489', 'in1k', 0.875), ('resnestabc26', '0470', '05e07501fbac448d74348704105123c8c049cf84', 'v0.0.495', 'in1k', 0.875), - ('resnesta50', '0452', '28ac82bd68860c9ee081e80a07c062c7fcafd191', 'v0.0.465', 'in1k', 0.875), + ('resnesta50', '0440', '73089352db56508f4822460f009b8f939c9497af', 'v0.0.530', 'in1k', 0.875), ('resnesta101', '0400', 'bb2a90f59e103c73bdfc75fc8b8d898325444069', 'v0.0.465', 'in1k', 0.875), ('resnesta200', '0338', '29a8a7453caee12992f9acc7f8a680a90706c4ed', 'v0.0.465', 'in1k', 0.875), ('resnesta269', '0336', '9a33e31b98b4e2473b17b55d0b19fbbdd415a30d', 'v0.0.465', 'in1k', 0.875), @@ -128,7 +128,7 @@ ('regnetx064', '0486', '4c80dabd40e24b2ab2ccce4801514060c84127d9', 'v0.0.513', 'in1k', 0.875), ('regnetx080', '0466', 'c101c5242bbd7cf52958c2f5f81fca09a4d21091', 'v0.0.515', 'in1k', 0.875), ('regnetx120', '0523', '4256f719e4eec284921d699cdda37646c386d70e', 'v0.0.473', 'in1k', 0.875), - ('regnetx160', '0507', 'f9023af0b87db8634a9af8fcc47252c3f08d089c', 'v0.0.473', 'in1k', 0.875), + ('regnetx160', '0475', 'd2bcf2d110e2a4f69cf3dc81bb9c13fa9ca89c4a', 'v0.0.530', 'in1k', 0.875), ('regnetx320', '0485', 'c11d938f6767b11ddeb880560125243496a35522', 'v0.0.473', 'in1k', 0.875), ('regnety002', '0953', '8935adbabb80191d7ca6ea9c498dd4cb5c62742b', 'v0.0.476', 'in1k', 0.875), ('regnety004', '0750', '65a10212ee15308e6bc7eff57a837d1abc139cb5', 'v0.0.481', 'in1k', 0.875), @@ -159,7 +159,7 @@ ('drnd54', '0626', 'cb792485021c6f946e28cc3e72674e5a1286b9da', 'v0.0.425', 'in1k', 0.875), ('drnd105', '0583', '80eb9ec2efd053d2f1e73d08911208c5d787e7cf', 'v0.0.425', 'in1k', 0.875), ('dpn68', '0658', '5b70b7b86c33c3dfb04f5fa189e5d501e8804499', 'v0.0.427', 'in1k', 0.875), - ('dpn98', '0528', '6883ec37bc83f092101511a4e46702f1587f970e', 'v0.0.427', 'in1k', 0.875), + ('dpn98', '0515', '04080ec11233c45c365de9ac6917c55c99f8bfab', 'v0.0.530', 'in1k', 0.875), ('dpn131', '0524', '971af47c5c45175a9999002849d4bb5e47fa99f3', 'v0.0.427', 'in1k', 0.875), ('darknet_tiny', '1745', 'd30be41aad15edf40dfed0bbf53d0e68c520f9f3', 'v0.0.422', 'in1k', 0.875), ('darknet_ref', '1671', 'b4991f6b58ae95118aa9ea84cae4a27e328196b5', 'v0.0.422', 'in1k', 0.875),