conversion of models from ultralytics/yolov8 to yours

[mahaling]

Can you share insights/code to convert ultralytics models to your version of yolo. I am specifically looking for conversion of yolov8. These are different from the base models you have provided.

[jahongir7174]

def port_weights(model1, model2):
    model1.eval()
    model2.eval()
    with torch.no_grad():
        m1_std = model1.state_dict().values()
        m2_std = model2.state_dict().values()
        for m1, m2 in zip(m1_std, m2_std):
            m1.copy_(m2)
    state = {'model': model1.half()}
    torch.save(state, 'weights/bestpt')

model1 is the dst model model2 is the src model

[mahaling]

Thanks for this piece of code. But it looks like the architecture of ultralytics' YOLO is different from what your code has. Can you please confirm?