Can't understand with checkpoint with model combination ir right.

[minotaurdsp]

Hello can you tell model checkpoints right configuration

Im trying like this but with custom image I got empty image
model = init_detector(
config='configs/fashionformer/modanet/mask_rcnn_swin_b_modanet.py',
checkpoint='/data/GarmentQC-dataset/fashionformer_r50_3x.pth',device='cpu'
)

mmdet==2.18.0
mmcv==1.3.18
mmcv-full==1.3.8 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9.0/index.html
python 3.7

Also is the mmdet==2.18.0 correct version because looking from demo/image_demo.py in function show_result_pyplot() param out_file and palette is only in model version starting from 2.24.0, just thinking how to replicate your test if im installing mmdet==2.18.0 then I got error TypeError: show_result_pyplot() got an unexpected keyword argument 'palette'
if im updating mmdet to 2.24.0 I got different errors ;)