A problem about running "demo.py"

[liujs11528]

Hello, I used 2080ti, tensorflow-gpu 1.12.0, CUDA 10.0.130, cudnn7.6.4 to run the code "demo.py", but I got a problem "Traceback (most recent call last): File "E:/pythondata/Pixel2MeshPlusPlus-master/demo.py", line 12, in from modules.models_mvp2m import MeshNetMVP2M as MVP2MNet File "E:\pythondata\Pixel2MeshPlusPlus-master\modules\models_mvp2m.py", line 9, in from modules.losses import mesh_loss, laplace_loss File "E:\pythondata\Pixel2MeshPlusPlus-master\modules\losses.py", line 6, in from modules.chamfer import nn_distance File "E:\pythondata\Pixel2MeshPlusPlus-master\modules\chamfer.py", line 5, in nn_distance_module = tf.load_op_library('./external/tf_nndistance_so.so') File "D:\anaconda\anaconda\envs\tf1.12\lib\site-packages\tensorflow\python\framework\load_library.py", line 60, in load_op_library lib_handle = py_tf.TF_LoadLibrary(library_filename) tensorflow.python.framework.errors_impl.NotFoundError: .\external\tf_nndistance_so.so not found

Process finished with exit code 1 " I tried to read this file with absolute path, but it didn't work either. Below is the package I used absl-py (0.9.0) astor (0.8.1) certifi (2016.2.28) gast (0.3.3) grpcio (1.30.0) h5py (2.10.0) importlib-metadata (1.7.0) Keras-Applications (1.0.8) Keras-Preprocessing (1.1.2) Markdown (3.2.2) numpy (1.19.0) opencv-python (4.3.0.36) Pillow (7.2.0) pip (9.0.1) protobuf (3.12.2) scipy (1.5.1) setuptools (36.4.0) six (1.15.0) tensorboard (1.12.2) tensorflow (1.12.0) termcolor (1.1.0) tflearn (0.3.2) Werkzeug (1.0.1) wheel (0.29.0) wincertstore (0.2) zipp (3.1.0) Hope for your reply~

[lkf1996]

Ubuntu or Windows？ This error will occur in Windows

[liujs11528]

Ubuntu or Windows？ This error will occur in Windows

Windows. So is there a solution to this problem in windows? Or is it necessary to use windows?Thanks！

[walsvid]

Hi, please refer to this section of our readme to compile CUDA op: https://github.com/walsvid/Pixel2MeshPlusPlus#compile-cuda-op. As for compiling CUDA on windows, I think a better way is to refer to the official tutorial of Tensorflow(the link also list in our readme).

[NaveedMazhar-eng]

hello i am facing this issue in ubuntu and even on your Google Colab demo. Please help. and before you answer please know that I am very new to programming so complex solutions will be hard for me to follow. Thanks! Hope to hear from you soon

[walsvid]

hello i am facing this issue in ubuntu and even on your Google Colab demo. Please help. and before you answer please know that I am very new to programming so complex solutions will be hard for me to follow. Thanks! Hope to hear from you soon

Hi @NaveedMazhar-eng, we use chamfer loss as our loss function, however the computation of chamfer loss is not implemented by TensorFlow1.x, so we use CUDA to implement it. In order to run the code you need to use nvcc and g++ to compile the C++ and CUDA code. You need to use the Makefile we provide in external folder and change the path to your nvcc and g++

[tPPMc-cs]

Hi, I had a fatal error after make, it showed that I couldn't find the head file, is there any config file that I can set?