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affkpnet's Issues

Is anyone successful for configuring the environment?

First of all, I tried python==3.6 and follow the step of configuring the environment of maskrcnn-benchmark as mentioned, when I succeded with the environment of maskrcnn-benchmark, I returned to this project and tried to install

cd AffKpNet 
python setup.py install

however, it told me that python version must>=3.8

so then,
I used python==3.8, torch==1.6.0, torchvision==0.7.0, cudatoolkit=10.1
and followed the steps of maskrcnn-benchmark as well. It compiles successful, However, when it comes to execute the code, there is always some errors
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

how should I do? I have no idea.

Affordance labels????????? WHAT???????????

The viewer won't be able to make to make any sense of the images with affordance labels like 0.0, 1.0, etc.

Especially for the out-of-distribution content. I have no idea what is going on, nor what is being shown. Truly, the page could be tossed out and nothing would change.

Please make an effort to add in information that a first time reader might not be fully aware of. For sure the numeric labeling of the affordance is meaningless to most people. The more someon has to think, the less likely they are to actually understand what you wish to convey. All results should be clear and obvious. Otherwise, you are not effectively communicating anything to the reader.

Leave this open until I am/we are happy with the messaging of the different supplementary content files.

Camera Matrices

Hello!

Thanks for sharing your dataset! I wanted to ask whether you had any information on the camera intrinsics/extrinsics for images? In your paper you mentioned that you used a Intel Realsense and Kinect, could you share specifically which models of those cameras you used?

Thanks!

RuntimeError: Ninja is required to load C++ extensions

When I try to run the evaluate code with command
CUDA_VISIBLE_DEVICES=0 python eval_aff_mask.py --dataset umd_self_kp --model danet_kp --resume-dir /danet_kp/umd_gt/model --base-size 480 --crop-size 480 --workers 1 --backbone resnet101 --multi-grid --multi-dilation 4 8 16 --eval
I got the error as below

Traceback (most recent call last):
  File "eval_aff_mask.py", line 19, in <module>
    import encoding.utils as utils
  File "/root/anaconda3/lib/python3.8/site-packages/torch_encoding-1.2.2b20220804-py3.8.egg/encoding/__init__.py", line 13, in <module>
    from . import nn, functions, dilated, parallel, utils, models, datasets
  File "/root/anaconda3/lib/python3.8/site-packages/torch_encoding-1.2.2b20220804-py3.8.egg/encoding/nn/__init__.py", line 12, in <module>
    from .encoding import *
  File "/root/anaconda3/lib/python3.8/site-packages/torch_encoding-1.2.2b20220804-py3.8.egg/encoding/nn/encoding.py", line 19, in <module>
    from ..functions import scaledL2, aggregate, pairwise_cosine
  File "/root/anaconda3/lib/python3.8/site-packages/torch_encoding-1.2.2b20220804-py3.8.egg/encoding/functions/__init__.py", line 2, in <module>
    from .encoding import *
  File "/root/anaconda3/lib/python3.8/site-packages/torch_encoding-1.2.2b20220804-py3.8.egg/encoding/functions/encoding.py", line 14, in <module>
    from .. import lib
  File "/root/anaconda3/lib/python3.8/site-packages/torch_encoding-1.2.2b20220804-py3.8.egg/encoding/lib/__init__.py", line 9, in <module>
    cpu = load('enclib_cpu', [
  File "/root/anaconda3/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1202, in load
    return _jit_compile(
  File "/root/anaconda3/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1425, in _jit_compile
    _write_ninja_file_and_build_library(
  File "/root/anaconda3/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1506, in _write_ninja_file_and_build_library
    verify_ninja_availability()
  File "/root/anaconda3/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1562, in verify_ninja_availability
    raise RuntimeError("Ninja is required to load C++ extensions")
RuntimeError: Ninja is required to load C++ extensions

Could you help me find out where is the problem?

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