In /usr/share/doc/tensorrt/TensorRT-3-User-Guide.pdf.gz:
[i]3.9. SampleFasterRCNN - Using the Plugin Library
…
In this sample you will learn:
How to implement the Faster R-CNN network in TensorRT
How to perform a quick performance test in TensorRT
How to implement a fused custom layer
How to construct the basis for further optimization, for example using INT8
calibration, user trained network, etc.).
…
[/i]
Thanks.
I am just getting started with the Jetson platform.
Today I managed to compile Tensorflow and run pretrained object detection models over video snippets with TF Object Detection API and OpenCV on the TX2. No TensorRT at the moment. The performance would really benefit from TensorRT though.
Could you maybe post some frames per seconds numbers? (fps) for the object detection examples with name of the model or link? We wanted to try the same but have focused on tensorrt now first…
Would be awesome and helpful for a lot of people I imagine!
Sure - For SSD MobileNet pretrained on COCO (taken directly from the modelzoo) and deployed in TF on the TX2 I get about 5 FPS while processing a video. I wanted to try out larger models as Faster R-CNN but it seems to kill the process (requests too many resources). Not really sure why this is a problem on the TX2 since it has more GPU memory than my own GTX1060 6 GB. But I need to get that going, since that will be my go-to model!
Please let me know if you advance any further with TensorRT. I got TensorRT (Python) going today and will start investigating porting models to TensorRT within the next few weeks, however I am not too optimistic about it yet :-)
We also check TensorFlow object detection API. There is a control type operation (tf.where) run slowly on GPU.
We are checking if there is any WAR to place this operation on CPU for better performance.
Will update information here once we have an update.
Thanks.
Any progress with TensorRT? I’d be happy to port any object detection model to TensorRT but the docs aren’t really helpful. Did anyone manage to port that Faster R-CNN sample that is shipped with TensorRT?
Hi, has anyone got anything? Here too looking for Faster-RCNN implementation for detecting smaller objects using tensor-RT, caffe and Jetson-Tx2. If anyone could help…