Please provide the following information when requesting support.
• Hardware (T4/V100/Xavier/Nano/etc)
RTX4060
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc)
LPRnet
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here)
• Training spec file(If have, please share here)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)
[array([[36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36,
36, 36, 36, 36, 36, 36, 36, 36]], dtype=int32), array([[0.30274895, 0.86494905, 0.9930987 , 0.9981476 , 0.9954442 ,
0.9991584 , 0.9989754 , 0.99612707, 0.9935313 , 0.994934 ,
0.98253965, 0.99814665, 0.9967269 , 0.9971048 , 0.99921846,
0.99689305, 0.9958799 , 0.9927529 , 0.98989385, 0.99216217,
0.99449193, 0.9957177 , 0.9970091 , 0.99679095]], dtype=float32)]
I have used tensorrt to load the engine model to predict license plate image, the prediction result shown above.
This is the image I have used to predict.
Image may be NSFW.
Clik here to view.
The documentation from NGC catalog state that post processing will be needed to get the final license plate result. Any post processing advice I should try to get the final result.
2 posts - 2 participants
