Hi I have a fashion dataset that I want to train. The issue is I have only bbox coordinates with me. I dont want to train segmentation . I am using the configuration deepfashion/mask_rcnn_r50_fpn_15e_deepfashion.py. I am able to train by providing random segmentation points. But the issue is this would impact loss and hence the model (since model is also taking loss for segmentation predictions) so this would affect my detection results as well for the trained model. Is there any way in ehich I can turn off the segmentation mask pipeline in this model. Also if not are there any other alternatives to achieve this ?
Hi I have a fashion dataset that I want to train. The issue is I have only bbox coordinates with me. I dont want to train segmentation . I am using the configuration deepfashion/mask_rcnn_r50_fpn_15e_deepfashion.py. I am able to train by providing random segmentation points. But the issue is this would impact loss and hence the model (since model is also taking loss for segmentation predictions) so this would affect my detection results as well for the trained model. Is there any way in ehich I can turn off the segmentation mask pipeline in this model. Also if not are there any other alternatives to achieve this ?
Thanks