realtime_object_detection
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Faster RCNN on Jetson TX2
Hi @naisy ,
Thanks a lot for sharing your work.
In the readme, you have mentioned Faster R-CNN: PC only
Were you able to get FasterRCNN+Inception (or) FasterRCNN+ResNet working on TX2 with TensorFlow? Is there any known issue doing so?
Hi @sivagnanamn,
TX2 has small memory capacity, therefore error occurs at run time. You can download from https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
Thank you @naisy .
FasterRCNN+Inception (or) FasterRCNN+ResNet seems to throw cuda launch out of resources
error while running on TX2. Especially in the places where tf.where
operation is involved.
However, moving tf.where
to CPU results in wrong detection. Have you come across this behaviour before?
Hi @sivagnanamn,
I have not confirmed the existence of detection error caused by processing tf.where on CPU.
The CUDA of ARM architecture seems to require more memory than X86 architecture. I hope that memory problem will be solved with Xavier and CUDA10.