Explaination on The YoloX Body-Head-Hand output dimension?
kho-bluefrogrobotics opened this issue · comments
Issue Type
Documentation Feature Request
OS
Other
OS architecture
armv7
Programming Language
Other
Framework
TensorFlowLite
Model name and Weights/Checkpoints URL
YoloX Body-Head-Hand
https://github.com/PINTO0309/PINTO_model_zoo/tree/main/426_YOLOX-Body-Head-Hand
Description
First of all thanks and congratulation for your excellent work, on YOLO.
I have a question regarding the output size, though.
@PINTO0309 You say you limit the output to 20 boxes : How come we obtain a float32[60,7] output then?
shouldn't we get something like 20x [class, score, x1, y1, x2, y2] = 20 x 5 floats?
Relevant Log Output
No response
URL or source code for simple inference testing code
No response
As detailed in the README.
max output boxes per class
20 (Body) + 20 (Head) + 20 (Hand) = 60 boxes
[batch_num, classid, score, x1, y1, x2, y2] * 60 = 7 x 60 floats
OK Thanks!