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https://github.com/pinto0309/tensorflowlite-unet
Implementation of UNet by Tensorflow Lite. Semantic segmentation without using GPU with RaspberryPi + Python. In order to maximize the learning efficiency of the model, this learns only the "Person" class of VOC2012. And Comparison with ENet.
https://github.com/pinto0309/tensorflowlite-unet
enet python raspberrypi segmentation semantic-segmentation tensorflow tensorflowlite unet
Last synced: about 3 hours ago
JSON representation
Implementation of UNet by Tensorflow Lite. Semantic segmentation without using GPU with RaspberryPi + Python. In order to maximize the learning efficiency of the model, this learns only the "Person" class of VOC2012. And Comparison with ENet.
- Host: GitHub
- URL: https://github.com/pinto0309/tensorflowlite-unet
- Owner: PINTO0309
- License: mit
- Created: 2018-10-18T13:24:10.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-02-13T11:59:01.000Z (over 5 years ago)
- Last Synced: 2024-05-01T15:20:00.138Z (5 months ago)
- Topics: enet, python, raspberrypi, segmentation, semantic-segmentation, tensorflow, tensorflowlite, unet
- Language: Python
- Homepage: https://qiita.com/PINTO
- Size: 153 MB
- Stars: 78
- Watchers: 7
- Forks: 22
- Open Issues: 1