TensorRT_TX2_20FPS
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Target to achieve 20 fps of vehicle/pedestrian detection(Fast R-CNN) on TX2 via TensorRT
Begin parsing model... End parsing model... Begin building engine... Segmentation fault (core dumped)
@radeonwu Hi can i have few queries 1.Can i run faster rcnn using tensorflow / tensor rt on the tx2 board 2. should i use pycaffe-frcnn to run the following...
cause i see there are no special difference between origianl TensorRT FasterRCNN and this one. and i get 5fps using the original TensorRT FasterRCNN can i know the reason?
Hi, sorry, I don't know if it is necessary to open an issue for this. But I have the repo compiled but when I launched the command I obtain: **sudo...
I keep getting a segmentation fault when it begins parsing the prototxt file. Do you know which prototxt file i need to use for faster rcnn?
i have followed your steps and i am getting 2 fps not 10 as your output edit i got 3 after overclocking
Hi, great job on setting up Faster-RCNN with TensorRT! Are you also planning on doing the same for YOLO and SSD? :) And also what fps are you currently getting...