Replies: 5 comments
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Hi @jayajkd! The label images are black if you look at them with an Image Viewer. But if you open them with python you will see that the pixels have values of 0,1 or 2, indicating whether they are nothing, left lane boundary or right lane boundary. Since 1 and 2 are very small compared to 255, this looks like 0, i.e. black in an Image Viewer. The images were generated using this program: |
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Thanks for your reply
…On Wed, Sep 20, 2023, 8:07 PM Mario Theers ***@***.***> wrote:
Hi @jayajkd <https://github.com/jayajkd>! The label images are black if
you look at them with an Image Viewer. But if you open them with python you
will see that the pixels have values of 0,1 or 2, indicating whether they
are nothing, left lane boundary or right lane boundary. Since 1 and 2 are
very small compared to 255, this looks like 0, i.e. black in an Image
Viewer.
The images were generated using this program:
code/solutions/lane_detection/collect_data.py
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And one more thing i need to confrom it s must use carla simulatin in system to run this collect_data.py right.. |
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And one more i need to clarify is must install carla in my laptop to run
collect_data.py right..
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…On Wed, Sep 20, 2023 at 8:38 PM Mario Theers ***@***.***> wrote:
Closed #34
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Yes, that is true. In the appendix there is an explanation regarding Carla installation: But note that you do not need to collect that data yourself, you can also just download the data I collected. |
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I am working on lane detection, and I have a doubt about the test_labels and train_labels folders containing black images as labels. Could you please explain how these black images were generated? If possible, could you provide some code examples?
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