Upd info about DLA-169 models

osmr · Mar 31, 2021 · e590a49 · e590a49
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Showing 8 changed files with 8 additions and 8 deletions.
diff --git a/chainer_/README.md b/chainer_/README.md
@@ -307,7 +307,7 @@ Some remarks:
 | DLA-102 | 20.54 | 5.18 | 33,268,888 | 7,190.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/dla102-0518-ebbfedd7.npz.log)) |
 | DLA-X-102 | 19.56 | 4.74 | 26,309,272 | 5,884.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.528/dla102x-0474-39bad3b5.npz.log)) |
 | DLA-X2-102 | 19.25 | 4.69 | 41,282,200 | 9,340.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.520/dla102x2-0469-4030bc12.npz.log)) |
-| DLA-169 | 19.64 | 4.80 | 53,389,720 | 11,593.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.509/dla169-0480-06189655.npz.log)) |
+| DLA-169 | 19.27 | 4.61 | 53,389,720 | 11,593.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.539/dla169-0461-f47952e2.npz.log)) |
 | FishNet-150 | 19.14 | 4.65 | 24,959,400 | 6,435.05M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.502/fishnet150-0465-724e74fc.npz.log)) |
 | ESPNetv2 x0.5 | 43.61 | 21.08 | 1,241,332 | 35.36M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_wd2-2108-72efda3a.npz.log)) |
 | ESPNetv2 x1.0 | 35.30 | 14.31 | 1,670,072 | 98.09M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w1-1431-eab8d605.npz.log)) |

diff --git a/chainer_/chainercv2/models/model_store.py b/chainer_/chainercv2/models/model_store.py
@@ -172,7 +172,7 @@
     ('dla102', '0518', 'ebbfedd74580223c69e97c7231c48e430b1f9bc6', 'v0.0.505'),
     ('dla102x', '0474', '39bad3b5b8c1fc55069f58c8a52328349097c8e7', 'v0.0.528'),
     ('dla102x2', '0469', '4030bc12f1029335389f6bda351ac54d369a90d0', 'v0.0.520'),
-    ('dla169', '0480', '06189655d10215e5f53ff6ce20e2f80a821c0b24', 'v0.0.509'),
+    ('dla169', '0461', 'f47952e20e67ac6b526ae9946f673d3a5c57e4da', 'v0.0.539'),
     ('fishnet150', '0465', '724e74fc0471c81dd75a97c1928f46d06d10815b', 'v0.0.502'),
     ('espnetv2_wd2', '2108', '72efda3a821eb165b2cccf34532d3c26d6525bb7', 'v0.0.238'),
     ('espnetv2_w1', '1431', 'eab8d605b475bd3659d6834ba5140d327f57c7de', 'v0.0.238'),

diff --git a/gluon/README.md b/gluon/README.md
@@ -328,7 +328,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | DLA-102 | 20.58 | 5.17 | 33,268,888 | 7,190.95M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/dla102-0517-0e5d954c.params.log)) |
 | DLA-X-102 | 19.59 | 4.70 | 26,309,272 | 5,884.94M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.528/dla102x-0470-ea82787c.params.log)) |
 | DLA-X2-102 | 19.24 | 4.67 | 41,282,200 | 9,340.61M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.520/dla102x2-0467-f9a11862.params.log)) |
-| DLA-169 | 19.61 | 4.83 | 53,389,720 | 11,593.20M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.509/dla169-0483-916bcd08.params.log)) |
+| DLA-169 | 19.28 | 4.60 | 53,389,720 | 11,593.20M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.539/dla169-0460-71971da4.params.log)) |
 | FishNet-150 | 19.15 | 4.66 | 24,959,400 | 6,435.02M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.502/fishnet150-0466-ed21862d.params.log)) |
 | ESPNetv2 x0.5 | 43.61 | 21.07 | 1,241,332 | 35.36M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_wd2-2107-f2e17f0a.params.log)) |
 | ESPNetv2 x1.0 | 35.33 | 14.27 | 1,670,072 | 98.09M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w1-1427-538f31fb.params.log)) |

diff --git a/gluon/gluoncv2/models/model_store.py b/gluon/gluoncv2/models/model_store.py
@@ -179,7 +179,7 @@
     ('dla102', '0517', '0e5d954cee3bb260a679425524deab61871bd0bf', 'v0.0.505'),
     ('dla102x', '0470', 'ea82787ce2b3c79cff32ccf54461507cc09c58ce', 'v0.0.528'),
     ('dla102x2', '0467', 'f9a1186261ef95215485c5754fa74bebe3070ec3', 'v0.0.520'),
-    ('dla169', '0483', '916bcd087ae436fcd2ffacd52acea019e65440bb', 'v0.0.509'),
+    ('dla169', '0460', '71971da4e881084851c9b581e719ce4edfb8292d', 'v0.0.539'),
     ('fishnet150', '0466', 'ed21862d14bb0a4e9d1723b7c639e455a7b141c0', 'v0.0.502'),
     ('espnetv2_wd2', '2107', 'f2e17f0a8845b72f4645a0c06f2cfc8d9ef0253e', 'v0.0.238'),
     ('espnetv2_w1', '1427', '538f31fb92699fddabc27784fe746871fd8a635b', 'v0.0.238'),

diff --git a/pytorch/README.md b/pytorch/README.md
@@ -331,7 +331,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil
 | DLA-102 | 20.69 | 5.37 | 33,268,888 | 7,190.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/dla102-0537-fdabf0c3.pth.log)) |
 | DLA-X-102 | 19.70 | 4.88 | 26,309,272 | 5,884.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.528/dla102x-0488-b1727759.pth.log)) |
 | DLA-X2-102 | 19.39 | 4.80 | 41,282,200 | 9,340.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.520/dla102x2-0480-f4e49d04.pth.log)) |
-| DLA-169 | 19.76 | 4.97 | 53,389,720 | 11,593.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.509/dla169-0497-19724917.pth.log)) |
+| DLA-169 | 19.39 | 4.71 | 53,389,720 | 11,593.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.539/dla169-0471-402f95f0.pth.log)) |
 | FishNet-150 | 19.26 | 4.75 | 24,959,400 | 6,435.05M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.502/fishnet150-0475-93e26daa.pth.log)) |
 | ESPNetv2 x0.5 | 42.32 | 20.15 | 1,241,332 | 35.36M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_wd2-2015-d234781f.pth.log)) |
 | ESPNetv2 x1.0 | 33.92 | 13.45 | 1,670,072 | 98.09M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w1-1345-550d5422.pth.log)) |

diff --git a/pytorch/pytorchcv/models/model_store.py b/pytorch/pytorchcv/models/model_store.py
@@ -179,7 +179,7 @@
     ('dla102', '0537', 'fdabf0c31bd2e359ee9a8374b6a42d1396093cf1', 'v0.0.505', 'DLA-102', '1707.06484', 'in1k', 224, 0.875, 200, ''),  # noqa
     ('dla102x', '0488', 'b1727759bba2394891f74481ceb91a603f0b4c8e', 'v0.0.528', 'DLA-X-102', '1707.06484', 'in1k', 224, 0.875, 200, ''),  # noqa
     ('dla102x2', '0480', 'f4e49d04e49217fc4a43791f7f43a4b9805c34f0', 'v0.0.520', 'DLA-X2-102', '1707.06484', 'in1k', 224, 0.875, 200, ''),  # noqa
-    ('dla169', '0497', '197249175809f7d02165cb86486554934f5791fe', 'v0.0.509', 'DLA-169', '1707.06484', 'in1k', 224, 0.875, 200, ''),  # noqa
+    ('dla169', '0471', '402f95f01800539345428ec17e32d033886452c1', 'v0.0.539', 'DLA-169', '1707.06484', 'in1k', 224, 0.875, 200, ''),  # noqa
     ('fishnet150', '0475', '93e26daaf570bc92b58f7421ab28c22ca405ad93', 'v0.0.502', 'FishNet-150', '', 'in1k', 224, 0.875, 200, ''),  # noqa
     ('espnetv2_wd2', '2015', 'd234781f81e5d1b5ae6070fc851e3f7bb860b9fd', 'v0.0.238', 'ESPNetv2 x0.5', '1811.11431', 'in1k', 224, 0.875, 200, '[sacmehta/ESPNetv2]'),  # noqa
     ('espnetv2_w1', '1345', '550d54229d7fd8f7c090601c2123ab3ca106393b', 'v0.0.238', 'ESPNetv2 x1.0', '1811.11431', 'in1k', 224, 0.875, 200, '[sacmehta/ESPNetv2]'),  # noqa

diff --git a/tensorflow2/README.md b/tensorflow2/README.md
@@ -286,7 +286,7 @@ Some remarks:
 | DLA-102 | 20.57 | 5.17 | 33,268,888 | 7,190.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.505/dla102-0517-9bebb44b.tf2.h5.log)) |
 | DLA-X-102 | 19.59 | 4.74 | 26,309,272 | 5,884.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.528/dla102x-0474-dfef2c81.tf2.h5.log)) |
 | DLA-X2-102 | 19.20 | 4.69 | 41,282,200 | 9,340.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.520/dla102x2-0469-d7a43ba5.tf2.h5.log)) |
-| DLA-169 | 19.61 | 4.81 | 53,389,720 | 11,593.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.509/dla169-0481-39a0a5d7.tf2.h5.log)) |
+| DLA-169 | 19.27 | 4.62 | 53,389,720 | 11,593.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.539/dla169-0462-24ee0a54.tf2.h5.log)) |
 | DiCENet x0.2 | 55.84 | 31.16 | 1,130,704 | 18.76M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_wd5-3116-6fbe46e2.tf2.h5.log)) |
 | DiCENet x0.5 | 48.32 | 24.29 | 1,214,120 | 30.48M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_wd2-2429-fbf5fc52.tf2.h5.log)) |
 | DiCENet x0.75 | 39.02 | 17.01 | 1,495,676 | 55.80M | From [sacmehta/EdgeNets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.497/dicenet_w3d4-1701-bc438808.tf2.h5.log)) |

diff --git a/tensorflow2/tf2cv/models/model_store.py b/tensorflow2/tf2cv/models/model_store.py
@@ -176,7 +176,7 @@
     ('dla102', '0517', '9bebb44b573356606e41cf16c2f1b3298e39106b', 'v0.0.505', 'in1k', 0.875),
     ('dla102x', '0474', 'dfef2c8122a48cdd24acbc5f41720f30edb9893c', 'v0.0.528', 'in1k', 0.875),
     ('dla102x2', '0469', 'd7a43ba59bbca865b8773def24a79cc190547044', 'v0.0.520', 'in1k', 0.875),
-    ('dla169', '0481', '39a0a5d70ad9207179ddb46879e849e18538edc2', 'v0.0.509', 'in1k', 0.875),
+    ('dla169', '0462', '24ee0a54909b9c93ed4be47284b9614ea095a7d4', 'v0.0.539', 'in1k', 0.875),
     ('dicenet_wd5', '3116', '6fbe46e2756bbaab61bd772532135fc1e10138ba', 'v0.0.497', 'in1k', 0.875),
     ('dicenet_wd2', '2429', 'fbf5fc52022b6ee4b3b553ead1661ed2519e0e9c', 'v0.0.497', 'in1k', 0.875),
     ('dicenet_w3d4', '1701', 'bc4388085c48ef271540250825551764cce33b8b', 'v0.0.497', 'in1k', 0.875),