how to compute the processing time (0.08s) of an image of size 400×300

houqb / DSS

code for "Deeply supervised salient object detection with short connections" published in CVPR 2017

MIT License

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how to compute the processing time (0.08s) of an image of size 400×300 #16

Closed Sucran closed 6 years ago

Sucran commented 6 years ago

I had read many CVPR2017 paper related to saliency detection, your model and NLDF(Non-Local Deep Features for Salient Object Detection) all say the processing time == 0.08s, but the model and DL framwork(TF vs Caffe) are different, which should cause a bit different. This makes me confused. Can you upload an simple ipynb file to explain how the 0.08s to be computed ? or just tell me your method if it's easy to implement. Thank you very much.

houqb commented 6 years ago

Actually it is a approximate value. You can test your model on some dataset, say MSRA-B, and report the average time on each image. It seems the speed is not that important.

houqb commented 6 years ago

If you want an exact value, we can resize all the images of some dataset to size 300 * 400.