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| − | http://mi.eng.cam.ac.uk/projects/segnet/ A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Use a random image, upload your own, search for a place, or click on one of the example images in the gallery below. SegNet is trained to lassify each pixel of an urban street image to be one of twelve classes: pedestrian, car, building, tar road, trees etc. |
+ | http://mi.eng.cam.ac.uk/projects/segnet/ A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Use a random image, upload your own, search for a place, or click on one of the example images in the gallery below. SegNet is trained to lassify each pixel of an urban street image to be one of twelve classes: '''pedestrian, car, building, tar road, trees etc. ''' |
* https://github.com/alexgkendall/caffe-segnet forked from [[Caffe berkeley vision]] |
* https://github.com/alexgkendall/caffe-segnet forked from [[Caffe berkeley vision]] |
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Latest revision as of 16:01, 4 November 2016
http://mi.eng.cam.ac.uk/projects/segnet/ A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Use a random image, upload your own, search for a place, or click on one of the example images in the gallery below. SegNet is trained to lassify each pixel of an urban street image to be one of twelve classes: pedestrian, car, building, tar road, trees etc.
Kai Yan[edit | edit source]
- http://diydrones.com/profile/yankai implements on Jetson tegra(nvidia) on camera Cctv_cameras#See3CAM(https://www.e-consystems.com/See3CAM-80.asp). See Caffe_berkeley_vision#OpenKAI of vision platform on uav identifying objects on ground(person between cows).
- http://diydrones.com/profiles/blogs/control-a-copter-by-image-recognition?xg_source=activity
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