chanyn/reasoning-rcnn

Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection (CVPR2019 Oral)

reasoning-rcnn's Issues

Question about" SGRB "code

Hello author, I tried to reproduce your code, but I found that the "sample_bboxes_return_index" file was not found in "mmdet.core". Did you forget to upload it?

请问什么时候放代码啊

error

The init.py of Reasoning-RCNN/mmdet/models is wrong.You can search any module of it in chrome and it will show a result, which is MMDETECTION in github ,and you will get your answer.

it runs on linux or win？

...

How is the new_vg_graph_r.pkl file generated?

Hello, this paper is amazing, I have a small question about the code, how is the new_vg_graph_r.pkl file generated?

gcc failed with exit status 1

when i run 'compils.sh' ,it goes with gcc failed with exit staus 1.
anyone come over this problem?

where is pre-train model

hi chanyn:

thanks for your great job,please tell me where the pre_train model,and which config file is belong to reasoning-rcnn,thanks

missing function get_proposals

I can't find this function anywhere
It's used in mmdet/models/detectors/reasoning_rcnn.py
can anyone find it?

            rpn_outs = self.rpn_head(x)
            rpn_loss_inputs = rpn_outs + (gt_bboxes, img_meta,
                                          self.train_cfg.rpn)
            rpn_losses = self.rpn_head.loss(*rpn_loss_inputs)
            losses.update(rpn_losses)

            proposal_inputs = rpn_outs + (img_meta, self.test_cfg.rpn)
            proposal_list = self.rpn_head.get_proposals(*proposal_inputs)
        else:
            proposal_list = proposals

Has anyone run it out yet?

Dataset annotations json

Hello, can you release coco style annotation jsons for VG/ADE, thank u very much ! ^-^

Welcome update to OpenMMLab 2.0

Welcome update to OpenMMLab 2.0

I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/amFNsyUBvm or add me on WeChat (van-sin) and I will invite you to the OpenMMLab WeChat group.

Here are the OpenMMLab 2.0 repos branches:

	OpenMMLab 1.0 branch	OpenMMLab 2.0 branch
MMEngine		0.x
MMCV	1.x	2.x
MMDetection	0.x 、1.x、2.x	3.x
MMAction2	0.x	1.x
MMClassification	0.x	1.x
MMSegmentation	0.x	1.x
MMDetection3D	0.x	1.x
MMEditing	0.x	1.x
MMPose	0.x	1.x
MMDeploy	0.x	1.x
MMTracking	0.x	1.x
MMOCR	0.x	1.x
MMRazor	0.x	1.x
MMSelfSup	0.x	1.x
MMRotate	1.x	1.x
MMYOLO		0.x

Attention: please create a new virtual environment for OpenMMLab 2.0.

Anyone successfully run it?

Is the code complete？

The code seems to be missing something and cannot run successfully