@AlexeyAB
Hello,
First, thans to your greate work!!!
I have trained YoloV4 in my custom dataset. In convenient of deploying, I have changed mish to relu and set scale_x_y=1. I tried to convert yolov4 to caffe as same as yolov3. It converted successfully,but when I use yolov3 post process to run the converted v4 model,I found the precision fall 5%. So I want to know What's the post process difference between V3 and V4
@Amore-HDU , did you retrain model after these changes? IMHO wrong post-processing should drop precision much more than 5%, but i'm not sure. Can you show an example of detection?
changed mish to relu and retrain, the precision nearly remain unchaned
train with scale_x_y=1.2 1.1 1.05, test with scale_x_y=1.0 1.0 1.0, I found the precision nearly remain unchanged
Due to second phenomenon, I think yolov4's post process is the same as yoloV3.So I use yolov3's post process.
@AlexeyAB Hello, First, thans to your greate work!!! I have trained YoloV4 in my custom dataset. In convenient of deploying, I have changed mish to relu and set scale_x_y=1. I tried to convert yolov4 to caffe as same as yolov3. It converted successfully,but when I use yolov3 post process to run the converted v4 model,I found the precision fall 5%. So I want to know What's the post process difference between V3 and V4