train on own dataset

[wangshuai09]

I convert my dataset to the coco format，the dataset has no segmentation，so i set the "segmentation" =[] in annotations，and set the cfg.TRAIN.MRCNN_LABELS_TO_KEEP = ( )，i also convert the pretrained coco MXRCNN model to my dataset followed the convert_coco_model_cityscapes.py

finally, i got the error: Exception encountered running PythonOp function: ValueError: min() arg is an empty sequence

Is the cfg.TRAIN.MRCNN_LABELS_TO_KEEP =( ) means that segmention would not be used? how should i train bbox branch on my dataset which without segmentation from the coco pretrained MXRCNN model?

[jinxuan777]

@xiaozr @ronghanghu I met same problem, have you solved it?

[wangshuai09]

i just set the "segmentation" = [[1,1,1,1,1,1]] ,and during the training ,the mask loss is 0.0

[lssily]

@xiaozr May I ask you that how do you install seg_every_thing? Looking forward to your reply!