https://github.com/LuJiangTHU/DMIL-WDDS
Deep multiple instance learning based wheat diseases diagnosis system
https://github.com/LuJiangTHU/DMIL-WDDS
agriculture-research computer-vision deep-learning machine-learning
Last synced: about 1 year ago
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Deep multiple instance learning based wheat diseases diagnosis system
- Host: GitHub
- URL: https://github.com/LuJiangTHU/DMIL-WDDS
- Owner: LuJiangTHU
- Created: 2017-12-10T05:37:52.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-12-10T07:43:41.000Z (over 8 years ago)
- Last Synced: 2024-11-05T16:49:56.803Z (over 1 year ago)
- Topics: agriculture-research, computer-vision, deep-learning, machine-learning
- Language: Python
- Homepage:
- Size: 3.66 MB
- Stars: 11
- Watchers: 0
- Forks: 6
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# DMIL-WDDS
Thanks for your concerns about our work -- "An in-field automatic wheat disease diagnosis system". We have released our source codes in this GitHub repository.
We are sorry about that the collected dataset "WDD2017" is not publicly available for the time being because of the commercial technology project.
Note that the pre-trained model “vgg16.pkl” and "vgg_cnn_s.pkl" can be obtained from http://www.vlfeat.org/matconvnet/pretrained/#imagenet-ilsvrc-classification
Our codes are written in Python and the deep models are implemented with Theano. The relevant path names in our codes should be modified if you want to run these codes.
If you refer to our work, please note the following reference in your work: "Lu J, Hu J, Zhao G, et al. An in-field automatic wheat disease diagnosis system[J]. Computers and Electronics in Agriculture, 2017, 142: 369-379."