Comments (3)
+1
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We have not provided the visualization codes which are used in our paper. However, you can easilly make one by your self knowing a little bit about rendering techniques. As we have provided the evaluation code which computed the transformation matrix, you only needs to apply it to the model and render it on the image.
from betapose.
@mht1421 if you are still interested I've created a simple program that calculates the projection pixels of the object bounding box and paints them in red:
https://github.com/danieldimit/project-ply-via-R-t-to-image
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Related Issues (19)
- from utils import output_pointcloud ImportError: cannot import name 'output_pointcloud' HOT 3
- How to prepare data HOT 1
- Couldn't open file: data_linemod_gt/02/all.txt HOT 2
- License? HOT 1
- Some question about object detection HOT 1
- Look at this repo before you use this one.
- Cannot reproduce paper results HOT 2
- how to select the most confident keypoint for pnp? HOT 1
- A bout dataset preparation
- Dataset link is not working!! HOT 1
- Missing folder and a file in train_KPD/src/predict folder HOT 1
- some problems about sixd.py
- No such file or directory: 'DATAROOT/kpmodels/obj_01.ply' HOT 3
- How to prepare data as AlexeyAB/darknet's instructions? HOT 8
- FileNotFoundError: [Errno 2] No such file or directory: '../exp/coco/seq5_Nov_1_1' HOT 1
- RuntimeError: Expected object of type torch.FloatTensor but found type torch.LongTensor for argument #2 'other' HOT 2
- No errors, but method doesn't detect any objects HOT 2
- I met a problem HOT 1
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