rec-attend-public
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renmengye
Code that implements paper "End-to-End Instance Segmentation with Recurrent Attention"
Can you provide a dataset that you used，thanks a lot！！！The original dataset has been downloaded but I do not know how to modify it
Running ./hungarian_build.sh throws following error: ``` from hungarian.cc:15: /home/lmancuso/leaf/brunotf/lib/python3.7/site-packages/tensorflow/include/tensorflow/core/framework/tensor_types.h: In member function ‘void tensorflow::internal::MaybeWith32BitIndexingImpl::operator()(Func, Args&& ...) const’: /home/lmancuso/leaf/brunotf/lib/python3.7/site-packages/tensorflow/include/tensorflow/core/framework/tensor_types.h:176:25: error: use of ‘auto’ in lambda parameter declaration only available with -std=c++14...
Hi, Would you happen to have the models of the trained networks which you published in the paper? I am specifically interested in the CVPPP model. Thanks!
In fg_model.py, I see that there is "import image_ops_old as img", I assume it is "import image_ops as img" instead?
Hi, I am very new to this area, so it might be a silly question. I downloaded CVPPP dataset "CVPPP2017_LSC_training.zip" from https://www.plant-phenotyping.org/datasets-download. However, it looks like A1 folder only have...
Hi renmengye, Thanks again for sharing you work. I get your code working properly on CVPPP dataset, however, I was not able to visualize result on localhost using firefox web...
Hi Mengye, thanks a lot for sharing the code! I have a couple of questions about training on CVPPP: 1. In the paper you mention training on 128 images, but...
Hi, thanks for your work. I am trying to run` run_cvppp.sh` but there is a reference to `mscoco_ins` which is not included in the repository. Would you provide it please?...
When I try compiling using `./hungarian_build.sh` I get the following errors: ``` 11 warnings generated. Undefined symbols for architecture x86_64: "tensorflow::DEVICE_CPU", referenced from: ___cxx_global_var_init.7 in hungarian-8050bd.o "tensorflow::TensorShape::DestructorOutOfLine()", referenced from: tensorflow::TensorShape::~TensorShape()...
