Comments (4)
Hi, check this comment #107 (comment) it can help you. For the fisheye images you need to use the function project_3d_to_2d instead of get_image_point.
from woodscape.
Sorry, I still can't visualize correctly on the fisheye diagram. Could you please provide the code?
from woodscape.
I don't know how to use the internal parameters, external parameters and distortion parameters of the fisheye diagram
from woodscape.
The Bounding boxes are expressed in the Carla world reference you need to express them into the camera reference using the ego vehicle transform provided and the position and rotation of the camera in the ego vehicle reference. And then you can use the fisheye calibration model used to project this from 3D to 2D.
from woodscape.
Related Issues (20)
- fisheye images visualize HOT 2
- Project 3D bounding boxes on the fisheye image of SynWoodScape HOT 1
- Does the Synwoodscape have time stamps information? HOT 1
- Fisheye img visualization HOT 2
- Semantic Segmentation Annotations 404 HOT 1
- synWoodScape HOT 1
- I don't find 3D bbox label ? HOT 1
- About Inference time
- Cropping in data preprocessing HOT 1
- sidewalk class for semantic segmentation HOT 1
- Fish eye distortion removal HOT 2
- 2d to 3d; how to bev image HOT 2
- Applying Optical Flow Transform in SynWoodscape
- generating new images from woodscape dataset
- Semantic Annotations for the Test_set isn't given
- Missing info on vehicle’s mechanical data HOT 1
- Issue with Lidar data and 3d annotation not matching
- Depth Estimation and Pointcloud Generation
- How to project 3d box on lidar groundtruth?
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from woodscape.