Test on my own image

[TienDungHUST]

I have run demo-evalScaleNet-COCOScale-RELEASE.ipynb successfully. While the person's height estimation on COCO make sense, I realize the height estimation of car on COCO val-set is not good. Therefore, I want to inference on my own image which contain the car/truck with only known 2D bbox. Since the COCO's preprocess too complex, how can I replace the image input?

[Aserck-ck]

I have run demo-evalScaleNet-COCOScale-RELEASE.ipynb successfully. While the person's height estimation on COCO make sense, I realize the height estimation of car on COCO val-set is not good. Therefore, I want to inference on my own image which contain the car/truck with only known 2D bbox. Since the COCO's preprocess too complex, how can I replace the image input?

May I ask how did you successfully run the demo-evalScaleNet-COCOScale-RELEASE.ipynb? I can't find the module named 'debugging' in the source code in the File
"ScaleNet-master\RELEASE_ScaleNet_minimal\dataset_cvpr.py", line 18, in
from debugging import getHorizonLine