Deep3DFaceReconstruction
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tensorflow.python.framework.errors_impl.NotFoundError: ./renderer/rasterize_triangles_kernel.so: undefined symbol: _ZN10tensorflow8internal21CheckOpMessageBuilder9NewStringEv
tensorflow.python.framework.errors_impl.NotFoundError: ./renderer/rasterize_triangles_kernel.so: undefined symbol: _ZN10tensorflow8internal21CheckOpMessageBuilder9NewStringEv
How can I solve this problem?
Seems that your tensorflow version is incompatible with the tf_mesh_renderer. Did you follow the instruction in the readme to install tf_mesh_renderer?
Seems that your tensorflow version is incompatible with the tf_mesh_renderer. Did you follow the instruction in the readme to install tf_mesh_renderer?
I followed the instructions, but I am not sure if I have installed tf_mesh_renderer, can you teach me how to install it correctly.
Seems that your tensorflow version is incompatible with the tf_mesh_renderer. Did you follow the instruction in the readme to install tf_mesh_renderer?
I followed the instructions, but I am not sure if I have installed tf_mesh_renderer, can you teach me how to install it correctl Follow the below steps carefully
Getting Started Testing Requirements Reconstructions can be done on both Windows and Linux. However, we suggest running on Linux because the rendering process is only supported on Linux. Python 3.6 (numpy, scipy, pillow, argparse). Tensorflow 1.12. Basel Face Model 2009 (BFM09). Expression Basis (transferred from Facewarehouse by Guo et al.). The original BFM09 model does not handle expression variations so extra expression basis are needed. tf mesh renderer (an older version). We use the library to render reconstruction images. Note that the rendering tool can only be used on Linux.
tensorflow.python.framework.errors_impl.NotFoundError: ./renderer/rasterize_triangles_kernel.so: undefined symbol: _ZN10tensorflow8internal21CheckOpMessageBuilder9NewStringEv
How can I solve this problem?
Did you solve it ?
I think the only problem is dependency on Tensorflow 1.12. Its a petty that someone is still using TensorFlow==1.12 when we have TensorFlow==2.25.