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https://github.com/soeaver/mxnet-model
Mxnet models (includimg classification, detection and segmentation) and deploy files for famouse networks
https://github.com/soeaver/mxnet-model
Last synced: 2 months ago
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Mxnet models (includimg classification, detection and segmentation) and deploy files for famouse networks
- Host: GitHub
- URL: https://github.com/soeaver/mxnet-model
- Owner: soeaver
- Created: 2017-11-10T06:28:47.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-02-05T05:46:51.000Z (almost 7 years ago)
- Last Synced: 2024-08-01T22:40:05.044Z (5 months ago)
- Language: Python
- Size: 529 KB
- Stars: 74
- Watchers: 10
- Forks: 16
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- Awesome-MXNet - pretrained models
README
# mxnet-model
MXNet models (only classification for now) and deploy prototxt for resnet, resnext, inception_v3, inception_v4, inception_resnet, wider_resnet, densenet, DPNs and other networks.## We recommend using these MXNet models with official MXNet repository
Please install [MXNet](https://github.com/apache/incubator-mxnet) for evaluating and finetuning.## Disclaimer
Most of the pre-train models are converted from other projects, the main contribution belongs to the original authors.
Project links:
[pytorch-classification](https://github.com/soeaver/pytorch-classification)、[mxnet-model-gallery](https://github.com/dmlc/mxnet-model-gallery)、
[tensorflow slim](https://github.com/tensorflow/models/tree/master/slim)、[craftGBD](https://github.com/craftGBD/craftGBD)、
[ResNeXt](https://github.com/facebookresearch/ResNeXt)、[keras deep-learning-models](https://github.com/fchollet/deep-learning-models)、
[DPNS](https://github.com/cypw/DPNs)、[Senet](https://github.com/hujie-frank/SENet)## CLS (Classification, more details are in [cls](https://github.com/LeonJWH/mxnet-model/tree/master/cls))
### Performance on imagenet validation.
**Top-1/5 error of pre-train models in this repository (Pre-train models download [urls](https://github.com/LeonJWH/mxnet-model/tree/master/cls#performance-on-imagenet-validation)).**Network|224/299
(single-crop)|320/395
(single-crop)| Download
:---:|:---:|:---:|:---:
resnet101_v2 | 21.89/6.01 | 20.44/5.22 | [170.3MB](https://pan.baidu.com/s/1i6wU0lv)(BaiduCloud)
resnet152_v2 | 20.71/5.42 | 19.65/4.75 | [230.2MB](https://pan.baidu.com/s/1c3KLlIS)(BaiduCloud)
resnet269_v2 | 19.73/4.99 | 18.64/4.33 | [390.4MB](https://pan.baidu.com/s/1brllCPT)(BaiduCloud)
resnext50_32x4d | 22.38/6.31 | 21.10/5.52 | [95.8MB](https://pan.baidu.com/s/1pMO26in)(BaiduCloud)
resnext101_32x4d | 21.33/5.80 | 19.92/4.97 | [169.1MB](https://pan.baidu.com/s/1hsTkrYW)(BaiduCloud)
resnext101_64x4d | 20.60/5.41 | 19.26/4.63 | [391.2MB](https://pan.baidu.com/s/1eTn7hqq)(BaiduCloud)
inception_v3 | 21.70/5.75 | .. | [91.1MB](https://pan.baidu.com/s/1jKcjTSM)(BaiduCloud)
inception_v4 | 20.03/5.09 | .. | [163.1MB](https://pan.baidu.com/s/1snp2NG5)(BaiduCloud)
inception_resnet_v2 | 19.86/4.83 | .. | [213.3MB](https://pan.baidu.com/s/1ei5PxG)(BaiduCloud)
xception | 20.89/5.48 | .. | [87.4MB](https://pan.baidu.com/s/1dG5QdLR)(BaiduCloud)
air101 | 21.32/5.77 | .. | [246.2MB](https://pan.baidu.com/s/1o94RK6Y)(BaiduCloud)
dpn-92-extra | 19.98/5.06 | 19.00/4.37 | [145MB](https://goo.gl/1sbov7)(GoogleDrive)
dpn107-extra | 19.75/4.94 | 18.34/4.19 | [333MB](https://goo.gl/YtokAb)(GoogleDrive)
se-resnet50 | 22.39/6.37 | 20.50/5.23 | [107.4MB](https://pan.baidu.com/s/1c39VQJQ)(BaiduCloud)
se-resnext50-32x4d | 20.96/5/54 | 19.35/4.66 | [105.4MB](https://pan.baidu.com/s/1qZ6P9DE)(BaiduCloud)
se-inception-v2 | 23.64/7.05 | 21.61/5.88 | [45.6MB](https://pan.baidu.com/s/1htqkSh2)(BaiduCloud)- 224x224(base_size=256) and 320x320(base_size=320) crop size for resnet-v2/resnext, 299x299(base_size=320) and 395x395(base_size=395) crop size for inception.