I have read the page https://www.tensorflow.org/lite/performance/gpu And I was wondering if anyone can help me figure out how to shape my inputs to the "MobileNet SSD object detection". You only get a file: "mobile_ssd_v2_float_coco.tflite"
I've tried 320x320*3*4, because if I tried the "old" image resolution of 300x300 i got an error saying the arrays sizes didn't match, and the new size matches 320x320.
But now when I call run(input, output) the method never returns... no errors or anything :(
Does anyone have any advise, because I'm really grasping straws at the moment.
Thank you in advance.