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Update info about MENet models for Keras
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osmr committed Sep 25, 2018
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7 changes: 7 additions & 0 deletions README.md
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Expand Up @@ -376,6 +376,13 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
| DarkNet Tiny | 43.35 | 19.46 | 1,042,104 | 496.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.56/darknet_tiny-1946-4a38281c.h5.log)) |
| SqueezeNet v1.0 | 41.07 | 19.04 | 1,248,424 | 828.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.57/squeezenet_v1_0-1904-c2c87509.h5.log)) |
| SqueezeNet v1.1 | 41.37 | 19.20 | 1,235,496 | 354.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.57/squeezenet_v1_1-1920-5557ef36.h5.log)) |
| 108-MENet-8x1 (g=3) | 46.09 | 22.37 | 654,516 | 40.64M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.58/menet108_8x1_g3-2237-beb28c9b.h5.log)) |
| 128-MENet-8x1 (g=4) | 45.78 | 21.93 | 750,796 | 43.58M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.58/menet128_8x1_g4-2193-0a0193f2.h5.log)) |
| 228-MENet-12x1 (g=3) | 35.02 | 14.01 | 1,806,568 | 148.93M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.58/menet228_12x1_g3-1401-954b3ba0.h5.log)) |
| 256-MENet-12x1 (g=4) | 34.48 | 13.91 | 1,888,240 | 146.11M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.58/menet256_12x1_g4-1391-a63a606a.h5.log)) |
| 348-MENet-12x1 (g=3) | 31.17 | 11.42 | 3,368,128 | 306.31M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.58/menet348_12x1_g3-1142-0715c866.h5.log)) |
| 352-MENet-12x1 (g=8) | 34.69 | 13.75 | 2,272,872 | 151.03M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.58/menet352_12x1_g8-1375-9007c933.h5.log)) |
| 456-MENet-24x1 (g=3) | 29.55 | 10.44 | 5,304,784 | 560.72M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.58/menet456_24x1_g3-1044-c090af59.h5.log)) |

[tornadomeet/ResNet]: https://github.com/tornadomeet/ResNet
[Cadene/pretrained...pytorch]: https://github.com/Cadene/pretrained-models.pytorch
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7 changes: 7 additions & 0 deletions keras_/models/model_store.py
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Expand Up @@ -49,6 +49,13 @@
('darknet_tiny', '1946', '4a38281c6436e0d4d0199f3fd77f967ce614883e', 'v0.0.56'),
('squeezenet_v1_0', '1904', 'c2c87509293fa4dc4de21877d389ff01d5b6bf4e', 'v0.0.57'),
('squeezenet_v1_1', '1920', '5557ef36f64d84c6343378f36773b245c14cd6a0', 'v0.0.57'),
('menet108_8x1_g3', '2237', 'beb28c9bd24cc1c8864f1475df78937978fcf5d2', 'v0.0.58'),
('menet128_8x1_g4', '2193', '0a0193f2666aeb91f25deb1525d8bebd57f36b84', 'v0.0.58'),
('menet228_12x1_g3', '1401', '954b3ba0cd681c3b63b03f77d4ff1dea03207664', 'v0.0.58'),
('menet256_12x1_g4', '1391', 'a63a606a2f344aa322f21d46f1192fd9d927294e', 'v0.0.58'),
('menet348_12x1_g3', '1142', '0715c86612e932522c3c4911104d941a77fd53b7', 'v0.0.58'),
('menet352_12x1_g8', '1375', '9007c933f9e4d1d78bd88e84aa892c127288ca2d', 'v0.0.58'),
('menet456_24x1_g3', '1044', 'c090af591e6b0a996d92fe4bc3332bb271046785', 'v0.0.58'),
]}

imgclsmob_repo_url = 'https://github.com/osmr/imgclsmob'
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