Comments (3)
질문은 최대한 상세하게 해주시길 바랍니다. 어떤것을 묻는지 모르겠습니다. 그리고 저에게 모든걸 물어보지 마시고 danke1님께서 여러가지 시도해보시고 정말 해결이 안될때만 물어보시길 바랍니다. integral human pose regression코드에도 본인께서 해결할 수 있을만한 질문들을 다수 남겨주셔서 이렇게 말씀드립니다. mask rcnn은 detectron2의 readme를 보시면 코드를 실행하는 법이 모두 나와있습니다.
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resnet-50+fpn사용한거 맞습니다.
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그럼 DetectNet에 돌릴 때, 아래의 코드를 이용해서 ground truth의 min_x, max_x, min_y, max_y 로 bbox 따서 예측값으로 넣어주는 건가요?
그리고 제가 resnet-50+fpn, COCOdataset에 pretrain된 것으로 "e2e_mask_rcnn_R_50_FPN_1x.pth" 파일을 다운로드 받았는데, 이것을 어떻게 사용해서 bbox를 얻을 수 있는지 조금 방향만 잡아주실 수 있나요?!
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Related Issues (20)
- test on wild images HOT 7
- Measurement of bbox_real HOT 9
- Issue with 3d visualisation
- Does the RootNet work if i just predict the gamma?
- How do I set root_depth_list HOT 2
- How to set the config for the FreiHAND dataset HOT 12
- pre-trained RootNet is broken HOT 1
- Where did I find k ?Data sets should be downloaded and merged HOT 4
- human-images HOT 1
- test dataset
- when i demo on my own img,the resout is very bad,why?
- the coordinates of x and y HOT 2
- Is there any follow-up study? HOT 2
- About 3DPW dataset HOT 2
- About MuCo dataset
- demo output
- Converting to onnx HOT 2
- Dataset download HOT 6
- The issue of inaccurate deep prediction HOT 4
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