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Thanks to @dkurt my fps went up to 5fps. Which is reasonable for my application.

Firstly, I used MobileNet-SSD which made the code faster with a fps of 1.8 You can download those files from here: prototext, caffemodel (Here you go @Sebyazid)

Then, I made the input size of the image smaller from 300 x 300 to 100 x 100. Although the accuracy goes down by a bit, the program is still capable of recognising objects.

Thank you @dkurt

Thanks to @dkurt my fps went up to 5fps. Which is reasonable for my application.

Firstly, I used MobileNet-SSD which made the code faster with a fps of 1.8 You can download those files from here: prototext, caffemodel (Here you go @Sebyazid)@Sebyazid )

Then, I made the input size of the image smaller from 300 x 300 to 100 x 100. Although the accuracy goes down by a bit, the program is still capable of recognising objects.

Thank you @dkurt

Thanks to @dkurt my fps went up to 5fps. Which is reasonable for my application.

Firstly, I used MobileNet-SSD which made the code faster with a fps of 1.8 You can download those files from here: prototext, caffemodel (Here you go @Sebyazid )

Then, I made the input size of the image smaller from 300 x 300 to 100 x 100. Although the accuracy goes down by a bit, the program is still capable of recognising objects.

Since I had to use the MobileNet-SSD, I used this Github sample

Thank you @dkurt