Closed prateethvnayak closed 5 years ago
Here you can read about what the grid represents: https://machinethink.net/blog/object-detection/
@hollance Sorry for the nuance question. I figured it out. I am using tiny-yolov2 hence I have only a single output and the 3-dimension are for yolov3.
But can you just point me out how you got very high anchor boxes value ? I am getting an exception on that point. Like the original Darknet cfg files have anchor boxes in decimals. Did you scale them by 100 ?
Thanks
Those anchor boxes were taken from the Keras version. It’s possible they have changed since I wrote this code 2 years ago.
I am trying to fit in a model trained on the VOC dataset with 20 classes. Can you quickly point me to the necessary changes ?
The changes I did so far are:
Not sure about what the gridHeight and gridWidth variables represent. Arent they a single value. My final predictions are 13x13x125.