Comments (5)
Hi. We use OpenCV.
from self-supervised-depth-completion.
Thanks for quick reply.
I am still confused about estimating cam pose. Which API are you using? Could please show more details about it?
Great thanks!
from self-supervised-depth-completion.
@skyhehe123 sometimes it may look like this: https://docs.opencv.org/3.4.3/dc/dbb/tutorial_py_calibration.html
from self-supervised-depth-completion.
@Usernamezhx thanks. I also find this one that maybe useful.
https://www.learnopencv.com/head-pose-estimation-using-opencv-and-dlib/
As mentioned in the paper, it is about 3D-2D pose estimation.
from self-supervised-depth-completion.
Indeed it is a pose estimation problem for 3D-2D pairs. We use cv2.solvePnPRansac
from self-supervised-depth-completion.
Related Issues (20)
- Error while loading "calib_cam_to_cam.txt" - can not reshape the array.
- question about depth-estimation results HOT 2
- What is the network used for single d?
- Why I can't get the result when using the trained model you provided?
- How can I get the result in your paper?
- About extracting trained model HOT 2
- Clip output in model.py
- inference HOT 2
- colorize the depth map HOT 1
- some problem about photometric_loss
- Use your pretrained model: GPU run out of memory. 8.95 gb already allocated
- Save output depth map HOT 1
- dataset extracting
- Training doesn't converge HOT 4
- silog error measurement
- Running Error in train mode sparse+photo HOT 1
- To much warning. HOT 2
- Use Stereo Pair Instead of Temporal Pair for Self-Supervised Training?
- The result cannot be reproduced
- Some questions about the details of the code
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from self-supervised-depth-completion.