Only Blue CSE vertex on Cat Image

Instructions To Reproduce the 🐛 Bug:

1. Full runnable code or full changes you made: No Change
2. What exact command you run:

python apply_net.py show \
    configs/cse/densepose_rcnn_R_50_FPN_soft_animals_I0_finetune_m2m_16k.yaml \
    https://dl.fbaipublicfiles.com/densepose/cse/densepose_rcnn_R_50_FPN_soft_animals_finetune_maskonly_24k/267687159/model_final_354e61.pkl \
    image_examples \
    dp_vertex,bbox \
    -v \
    --output outputs/cse_animal2_test.png

1. Full logs or other relevant observations: Only blue vertex on animal

2. please simplify the steps as much as possible so they do not require additional resources to run, such as a private dataset.

Run the above command with the following input examples image_examples.zip

Expected behavior:

Rainbox CSE Vertex on Cat

Environment:

----------------------  --------------------------------------------------------------------------------------
sys.platform            linux
Python                  3.9.6 (default, Aug 18 2021, 19:38:01) [GCC 7.5.0]
numpy                   1.20.3
detectron2              0.5 @/host/media/sejongyang/AnimalFaceReenactment/3dmm_stylegan2/detectron2/detectron2
Compiler                GCC 7.5
CUDA compiler           CUDA 10.0
detectron2 arch flags   6.1
DETECTRON2_ENV_MODULE   <not set>
PyTorch                 1.9.0 @/root/miniconda3/envs/detectron2/lib/python3.9/site-packages/torch
PyTorch debug build     False
GPU available           Yes
GPU 0,1                 GeForce GTX 1080 Ti (arch=6.1)
CUDA_HOME               /usr/local/cuda
Pillow                  8.3.1
torchvision             0.10.0 @/root/miniconda3/envs/detectron2/lib/python3.9/site-packages/torchvision
torchvision arch flags  3.5, 5.0, 6.0, 7.0, 7.5
fvcore                  0.1.5.post20210825
iopath                  0.1.9
cv2                     4.5.3
----------------------  --------------------------------------------------------------------------------------
PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) oneAPI Math Kernel Library Version 2021.3-Product Build 20210617 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 10.2
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37
  - CuDNN 7.6.5
  - Magma 2.5.2
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=10.2, CUDNN_VERSION=7.6.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, 

[yasaminjafarian]

@kingsj0405 I see. Great, thank you very much.

[MarcSzafraniec]

Hi ! For the moment, we do not release the mesh data that we use. We might release cats and dogs meshes soon though. I’ll comment there if it’s the case.