How to do incremental learning on MobileNet-SSD caffe

[AbhimanyuAryan]

I'm training my classifier on 20k images but every week I get more new pictures so I want to incrementally train my previous model(last stopped iteration) instead of retraining 20k+new_images on all the images again which is a waste of time and compute

I figured out incremental training with Yolo but can't seem to find anything for MobileNet-SSD caffe implemented here https://github.com/chuanqi305/MobileNet-SSD

To understand more about what I'm talking about refer to this: How to do incremental training on the basis of yolov3.weights & answer to this mention here:

 darknet.exe partial cfg/yolov3.cfg yolov3.weights yolov3.conv.105 105