Maskrcnn-benchmark: the Retinanet is not available right now?

Created on 1 Mar 2019  ยท  6Comments  ยท  Source: facebookresearch/maskrcnn-benchmark

โ“ Questions and Help

I test the Retinanet by replace the
config_file = "../configs/caffe2/e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml"
to
config_file = "../configs/retinanet/retinanet_R-50-FPN_1x.yaml"
in Mask_R-CNN_demo.ipynb,
and then i get 0 bbox in the result, is the Retinanet under develop or i need to change the input of picture, thank you for any help~

contributions welcome enhancement

Most helpful comment

Actually, after 36 hours' training with a single GPU, the results from Retinanet does not make me disappointed.

All 6 comments

Hi,

We haven't uploaded pre-trained models for RetinaNet.

@chengyangfu do you know if the pre-trained models from Caffe2 work with the version in here, or do we need to modify the c2_model_loading for that?

Hi,

We haven't uploaded pre-trained models for RetinaNet.

@chengyangfu do you know if the pre-trained models from Caffe2 work with the version in here, or do we need to modify the c2_model_loading for that?

Thank you,
I didn't notice that.

@fmassa
Unfortunately, we need to modify the model from Caffe2 when loading it. I will check that part this weekend.

@feihuidiqiu,
You can find some RetinaNet models trained on this repository here. https://github.com/facebookresearch/maskrcnn-benchmark/pull/102
You just need to change cfg.merge_from_list(["MODEL.DEVICE", "cpu"]) to
cfg.merge_from_list(["MODEL.DEVICE", "cpu", "MODEL.WEIGHT", "THE_MODEL_YOU_DOWNLOAD"])

Actually, after 36 hours' training with a single GPU, the results from Retinanet does not make me disappointed.

Actually, after 36 hours' training with a single GPU, the results from Retinanet does not make me disappointed.

Which backbone and what are the results?

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