hughw19/NOCS_CVPR2019
[CVPR2019 Oral] Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation on Python3, Tensorflow, and Keras
PythonNOASSERTION
Issues
- 4
Question for object scale
#34 opened - 2
- 4
Question about Pose to NOCS
#32 opened - 2
meta.txt confusion
#31 opened - 1
NOCS normalization
#30 opened - 6
Synthetic data generation
#29 opened - 9
Reproduce the evaluation result
#28 opened - 2
GT annotations for training data
#27 opened - 2
AssertionError
#26 opened - 0
Dataset files directories
#25 opened - 2
- 5
How to use my own dataset for training?
#23 opened - 2
- 8
- 2
- 2
- 1
- 1
Is depth information necessary?
#17 opened - 3
Why flip z axis of coord map?
#16 opened - 0
- 4
How to generate my customized dataset?
#14 opened - 0
- 1
- 1
3D object meshes without texture
#11 opened - 7
How to obtain pose GTs for each objects?
#10 opened - 3
What is the version of cuda & cudnn
#9 opened - 7
Dataset links are unreachable
#8 opened - 2
- 1
- 5
What is info.txt meaning for?
#5 opened - 3
- 1
Not found bbox_file
#3 opened - 3
Where is the Pre-trained weights
#2 opened - 2
Where is the Pre-trained model?
#1 opened