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Thanks for your model, We noticed that KITTI has lane label, but you don't use it as a result in your model. Is it easy to use radar data for semantic segmentation of lane lines?
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Hi
Do you have any pretrained models that you can share?
I am working on adversarial generation for semantic segmentation and a trained model will really speed things up for me.
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I adapted the "build_convert" of the PASCAL Dataset to convert my dataset to execute the DeepLab, but all my segmentation tests generate a black image prediction.
My dataset has images with 140x14…
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I got it running on Windows with following `editing_tool/requirements.txt`:
```
cupy-cuda101==7.4.0
cycler==0.10.0
fastrlock==0.4
future==0.18.2
imageio==2.8.0
joblib==0.14.1
kiwisolver==1.2.0…
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I was trying to visualize the ground truth of a sementic segmentation dataset named Rellis-3D and encounted some problems:
I modified the following files according to theirs Semantic KITTI version:…
Yinxq updated
5 months ago
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Hi, I know for some semantic segmentation datasets one has a predefined set of labels. How can I get the labels corresponding to the segments (either attached to the image or in a dictionary for later…
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Recently, I used the darknet framework to implement a project on semantic segmentation of images. If you are interested, you can try it. If you feel that the project is helpful to you, please give me …
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@mynameistechno @ggolin @TiRune can you guys share the training pipeline ?
Thanks in advance
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Hello, really impressive work! Your dense occupancy label generation pipeline is very enlightening. I notice that SurroundOcc achieves SOTA results on 3d Semantic Occupancy prediction and 3D scene co…