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Hello,
i am trying to follow the build/train/evaluate instructions but get stuck at the building docker image stage:
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++ -std=c++11 -c -DMSHADOW_FORCE_STREAM -Wall -O3 -I/root/mxnet/mshadow/ -…
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Hello.
Have you any plan to support Faster Rcnn?
I really want to play FRCNN with your project.
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I've trained my own datesets by using the source code from matterport/Mask_RCNN and I got my own weight, but I got a problem when I ran the predict.py: ValueError: Dimension 1 in both shapes must be e…
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Thank you for offering the DETR backbone pretrained on the Visual Genome dataset! I would appreciate it if you could also provide us with the Faster-RCNN (with ResNet-101 FPN or ResNeXt-101-FPN backbo…
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First of all thank you for releasing the code and ckpts.
I am not able to reproduce the results using config file "sparse_rcnn_focalnet_tiny_fpn_300_proposals_crop_mstrain_480-800_3x_coco_lrf.py" an…
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Thank you for sharing. I am currently encountering a problem where some libraries seem to be missing. Is the code incomplete?
from .mask_double_branch_overlapping_head import build_double_branch_…
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when I run demo, There will be ImportError: No module named faster_rcnn.faster_rcnn_cascade. there is no faster_rcnn package.
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![image](https://github.com/matterport/Mask_RCNN/assets/56971722/9dc8b722-c995-460f-b015-69eac598df4b)
Mask RCNN TF2 not working properly : https://github.com/ahmedfgad/Mask-RCNN-TF2
I am trying…
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Is it possible to use the faster-rcnn model rather than the fast-rcnn one? Anyone has insights on what would need to change?