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I removed the 1 image per GPU constraint and sent a tensor of shape [32, 3, 704, 1344] into the model (SipMask-mmdetection/mmdet/configs/sipmask/sipmask_r101_caffe_fpn_gn_ms_4x.py), but the output from the model is the same for shapes [32, 3, 704, 1344] and [1, 3, 704, 1344]
The text was updated successfully, but these errors were encountered:
Does the model support batched inference support?
I removed the 1 image per GPU constraint and sent a tensor of shape [32, 3, 704, 1344] into the model (SipMask-mmdetection/mmdet/configs/sipmask/sipmask_r101_caffe_fpn_gn_ms_4x.py), but the output from the model is the same for shapes [32, 3, 704, 1344] and [1, 3, 704, 1344]
The text was updated successfully, but these errors were encountered: