BCNet
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Visualizaiton result is pretty bad.
The problem of the previous issue has not been resolved. I took a look at the config and code of this repo, which also uses fcos, but it seems that it does not match the weight model you provided. Is it because the version of D2 is different or the implementation is different?
The details of the visualization process are shown in the figure:
The infer.sh:
CUDA_VISIBLE_DEVICES=0 python3 demo/demo.py --config-file configs/fcos/fcos_imprv_R_101_FPN.yaml \
--input ./demo/test_img/ \
--output ./demo/result_img/ \
--opts MODEL.WEIGHTS ./pretrained_models/model_final_beta.pth
That's strange. Are you following the installation steps here?
I have same problem. I tried installation, testing, some GPUs, etc, but couldn't do it.