yolo2-pytorch
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hello, i would like to know why the inference is so slow?
i modify the input size to 416*416,but the fps is just about 13?
What is your CPU / GPU?
On my PC with 8700K + 1080Ti,
416 x 416 processed 40 images in 1.147 seconds 0.029 sec/image 34.88 fps
1216 x 352 processed 40 images in 1.526 seconds 0.038 sec/image 26.21 fps
BTW, kitti_detect.py is a simple demo code, maybe the overhead dominates in your case. In my other test script, this model can reach ~90 fps @1216x352 batch=1
my gpu is Titan X, and i do not modify any code, i do not know where is wrong.
or if the warning is the main issue?