Hello
How are you?
Thanks for contributing this project.
I have a question.
Does this project support class-incremental training for saving training time?
Let's suppose I've trained a model on the dataset with K classes for 5 days.
If a new class is added into this dataset, should we train a model with the expanded dataset (K+1 classes) from begin?
If so, it is so expensive, especially in case of object detection in retail store.
That's because a new class of good is added frequently in retail store.
Can we train a new model in short time with the original weight on the expanded dataset?
I think that this is very important function.
Please let me know if you have a willing to implement this.
Thanks
Hello How are you? Thanks for contributing this project. I have a question. Does this project support class-incremental training for saving training time? Let's suppose I've trained a model on the dataset with K classes for 5 days. If a new class is added into this dataset, should we train a model with the expanded dataset (K+1 classes) from begin? If so, it is so expensive, especially in case of object detection in retail store. That's because a new class of good is added frequently in retail store. Can we train a new model in short time with the original weight on the expanded dataset? I think that this is very important function. Please let me know if you have a willing to implement this. Thanks