Question about differences in accuracy of real-time demo
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Hi, Thanks for sharing great code.
I have a question about a real-time demo.
I used your training source, trained on NYU and MSRA datasets to get a model.
I ran a real-time demo using the model I got and it's much less accurate than the demo video on your project page.
Can you tell me what dataset you trained on the project demo video?
- Video Link
https://blog.naver.com/lordged/221673755880 - Camera : Intel RealSense Depth Camera D435
- The model using MSRA is more accurate than the model using NYU, so I only uploaded video using MSRA.
Hi,dear eunmipark1! It looks like you you have successfully implemented the code on on MSRA datasets. I meet this problem when i run MSRA/train_and_test.py,could you please help me with it ?
thank you so much!!!!!
/media/cv/Project/bf/CrossInfoNet/network/MSRA/train_and_test.py
Loading cache data from ../../cache/MSRA//MSRA15Importer_P0_None_com_200_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P1_None_com_200_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P2_None_com_200_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P3_None_com_180_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P4_None_com_180_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P5_None_com_180_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P6_None_com_170_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P7_None_com_160_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P8_None_com_150_cache.pkl
Traceback (most recent call last):
File "/media/cv/Project/bf/CrossInfoNet/network/MSRA/train_and_test.py", line 36, in
Seq_test_raw = Seq_all.pop(MID)
TypeError: 'NoneType' object cannot be interpreted as an integer
Shuffling
Hi,dear eunmipark1! It looks like you you have successfully implemented the code on on MSRA datasets. I meet this problem when i run MSRA/train_and_test.py,could you please help me with it ?
thank you so much!!!!!
/media/cv/Project/bf/CrossInfoNet/network/MSRA/train_and_test.py
Loading cache data from ../../cache/MSRA//MSRA15Importer_P0_None_com_200_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P1_None_com_200_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P2_None_com_200_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P3_None_com_180_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P4_None_com_180_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P5_None_com_180_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P6_None_com_170_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P7_None_com_160_cache.pkl
Shuffling
Loading cache data from ../../cache/MSRA//MSRA15Importer_P8_None_com_150_cache.pkl
Traceback (most recent call last):
File "/media/cv/Project/bf/CrossInfoNet/network/MSRA/train_and_test.py", line 36, in
Seq_test_raw = Seq_all.pop(MID)
TypeError: 'NoneType' object cannot be interpreted as an integer
Shuffling
Try this line
/media/cv/Project/bf/CrossInfoNet/network/MSRA/train_and_test.py --dataset msra
These files have been generated in these "caches / MSRA / "folder, and the MSRA dataset seemed to be puted into. But these files are from 200150, is it that I didn't feed it completely Would you please send me the complete MSRA dataset and NYU dataset for me? My email is baifei@whut.edu.cn, thank you very much for your help~
This is the name of the file I generated and looks like a partial duplication.
MSRA15Importer_P0_None_com_200_cache.pkl
MSRA15Importer_P0_None_com_180_cache.pkl
MSRA15Importer_P0_None_com_170_cache.pkl
MSRA15Importer_P0_None_com_160_cache.pkl
MSRA15Importer_P0_None_com_150_cache.pkl
BIGHAND dataset
It should be the best dataset for real-time demo
And have you changed the camera info of yours in the 72 of real-time demo?
`
set your camera info here
di = DepthImporter(fx=475.268, fy=flag*475.268, ux=313.821, uy=246.075)
`