title: Fully supervised training from annotation results of weakly supervised training
body: <p>I have my data with annotated bounding boxes. I have acquired masks from bounding boxes using a weakly supervised method. The output result file contains mask in RLE format in a coco json result file. I need to generate binary images( black and white) from the results obtained from my weakly supervised model :</p>
  <p>1)The codes i found need file in proper coco json/ vgg json format. I have results in  coco json result form (&quot;withput image.jpg, categories info etc s it gives info of image id's only). How to convert result json to get binary images ?</p>
  <p>2)train a fully supervised model for instance segmentation using results from weak supervising as i dont have ground truth ?</p>