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I've generated some depth maps using Midas for non-Kitti images. Then inverted the depth image and feed into SNE-RoadSeg network but the result is hardly usable. Is there a way to segment road without using depth image? The use case is to segment out ground region for arbitrary RGB images only.
The text was updated successfully, but these errors were encountered:
Hi, @cteckwee . Sorry for the late response. I suggest you adopt existing single-modal networks. For example, mmsegmentation has provided many existing networks with their pre-trained weights on the Cityscapes dataset.
I've generated some depth maps using Midas for non-Kitti images. Then inverted the depth image and feed into SNE-RoadSeg network but the result is hardly usable. Is there a way to segment road without using depth image? The use case is to segment out ground region for arbitrary RGB images only.
The text was updated successfully, but these errors were encountered: