TinyYolo Tiny gives long process time once in a while
##### System information (version) - OpenCV => 3.4.5 - Operating System / Platform => Windows 10 64 Bit - Compiler => Visual Studio 2015
Detailed description
. I trained tiny yolo 3 for car detection and use it successfully. In order to reduce process time I shrinked the tiny yolo model. The model recognize well and run faster (~100 ms on my pc) on > 95% of images but from time to time the inference takes much longer up to 5 seconds. It is not the same image that take long process time so it is rather related to the implementation. model at: https://www.dropbox.com/sh/odk7hglm2r...
any chance, you're changing the (network) input resolution for new images ?
(it does not like that at all, because the whole network has to be resized)
Hi, I do not change the image size between images- always 416x416. I added the original tiny yolo v3 so you can compare the 2 cfg files, to see what I changed.
https://www.dropbox.com/sh/odk7hglm2r... Thanks.
Please provide some detailed report about efficiency. At least the inference time measurements.