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I followed all the steps, you have mentioned for converting TensorFlow SSD model v2 1.14 into TensorRT bin.
I updated the buildengine.py file and graphsurgeon converter for new Jetpack support.
Jetpack version is 4.6
Do you the reason for the wrong bounding box?
The text was updated successfully, but these errors were encountered:
@jkjung-avt , I trained the SSD mobilnet v2 model on tf 14.0 and tested the model on tf 15.4 with Jetpack version 4.6
I trained my custom model with Object 1 and Object 2. The Object 2accuracy was too low for tensorRT. Could you tell me, how to improve the tensorRT accuracy?
As per your suggestion, I had removed the FP16 from the build_engine.py file. But still, I am getting the same accuracy. There is no improvement #504 (comment)
dsnsabari
changed the title
I am getting wrong bounding box in converted SSD mobilenet v2
mAP drops in the converted SSD mobilenet v2
Feb 1, 2022
I followed all the steps, you have mentioned for converting TensorFlow SSD model v2 1.14 into TensorRT bin.
I updated the buildengine.py file and graphsurgeon converter for new Jetpack support.
Jetpack version is 4.6
Do you the reason for the wrong bounding box?
The text was updated successfully, but these errors were encountered: