Closed bayunCC closed 5 months ago
Hi bayun,
I just reran the demo and here is what I got after a few epochs:
Usually even if the pose is bad it would only impact the reconstruction quality to some extent. However, the result you showed appears to be complete divergence.
For troubleshooting, you can try overwriting the poses_optimized.npz
and train.npz
with data.zip and run bash ./bash/run-neuman-demo.sh
again (remember to delete /home/wh/project/InstantAvatar/outputs/neuman/baseline/seattle
to avoid confusion with previous runs)
Let me know if the problem persist.
Best, Tianjian
Hi Tianjian, Thanks for your quick reply.I replaced two files but it didn't work. I ran openpose to generated keypoints.npy of neuman in Windows System. Because I can't run openpose in Ubuntu successfully.Maybe I generated a wrong data.Could you please give me the data of neuman-demo to let me have a test and improve my data.
Hi banyunCC,
In the pipeline, we utilize OpenPose to generate the poses_optimized.npz
file, which I included in the zip file I sent to you. If it doesn't work with these NPZ files, it's unlikely to work with results from OpenPose either. In this case, I suspect there may be a compatibility issue with CUDA or PyTorch. Do you have access to a different machine?
Alternatively did you try the results in PeopleSnapshot?
Best, Tianjian
Hi Tijiang, The rusult of peoplesnapshot is good. I will try to rebuild my environment to have a test. My environment now is CUDA11.6+Python3.8.1+torch 1.13.1+cu116
conda list:
Name Version Build Channel
_libgcc_mutex 0.1 main defaults
_openmp_mutex 5.1 1_gnu defaults
absl-py 2.1.0 pypi_0 pypi
aiohttp 3.9.4 pypi_0 pypi
aiosignal 1.3.1 pypi_0 pypi
aitviewer 1.9.0 pypi_0 pypi
antlr4-python3-runtime 4.8 pypi_0 pypi
asttokens 2.4.1 pypi_0 pypi
async-timeout 4.0.3 pypi_0 pypi
attrs 23.2.0 pypi_0 pypi
backcall 0.2.0 pypi_0 pypi
blinker 1.7.0 pypi_0 pypi
ca-certificates 2024.3.11 h06a4308_0 defaults
cachetools 5.3.3 pypi_0 pypi
certifi 2024.2.2 pypi_0 pypi
charset-normalizer 3.3.2 pypi_0 pypi
chumpy 0.70 pypi_0 pypi
click 8.1.7 pypi_0 pypi
comm 0.2.2 pypi_0 pypi
cython 3.0.10 pypi_0 pypi
dataclasses-json 0.6.4 pypi_0 pypi
decorator 5.1.1 pypi_0 pypi
deprecated 1.2.14 pypi_0 pypi
entrypoints 0.4 pypi_0 pypi
executing 2.0.1 pypi_0 pypi
filelock 3.13.4 pypi_0 pypi
flask 3.0.3 pypi_0 pypi
frozenlist 1.4.1 pypi_0 pypi
fsspec 2024.3.1 pypi_0 pypi
future 1.0.0 pypi_0 pypi
fvcore 0.1.5.post20221221 pypi_0 pypi
glcontext 2.5.0 pypi_0 pypi
google-auth 2.29.0 pypi_0 pypi
google-auth-oauthlib 1.0.0 pypi_0 pypi
grpcio 1.62.1 pypi_0 pypi
h5py 3.11.0 pypi_0 pypi
hydra-core 1.1.2 pypi_0 pypi
idna 3.7 pypi_0 pypi
imageio 2.34.0 pypi_0 pypi
imgui 2.0.0 pypi_0 pypi
importlib-metadata 7.1.0 pypi_0 pypi
importlib-resources 5.2.3 pypi_0 pypi
iopath 0.1.10 pypi_0 pypi
ipycanvas 0.13.1 pypi_0 pypi
ipyevents 2.0.2 pypi_0 pypi
ipython 8.12.3 pypi_0 pypi
ipywidgets 8.1.2 pypi_0 pypi
itsdangerous 2.1.2 pypi_0 pypi
jedi 0.19.1 pypi_0 pypi
jinja2 3.1.3 pypi_0 pypi
joblib 1.4.0 pypi_0 pypi
jupyter-client 7.4.9 pypi_0 pypi
jupyter-core 5.7.2 pypi_0 pypi
jupyterlab-widgets 3.0.10 pypi_0 pypi
kaolin 0.15.0 pypi_0 pypi
lap 0.4.0 pypi_0 pypi
ld_impl_linux-64 2.38 h1181459_1 defaults
libedit 3.1.20230828 h5eee18b_0 defaults
libffi 3.2.1 hf484d3e_1007 defaults
libgcc-ng 11.2.0 h1234567_1 defaults
libgomp 11.2.0 h1234567_1 defaults
libstdcxx-ng 11.2.0 h1234567_1 defaults
lightning-utilities 0.11.2 pypi_0 pypi
lpips 0.1.4 pypi_0 pypi
markdown 3.6 pypi_0 pypi
markupsafe 2.1.5 pypi_0 pypi
marshmallow 3.21.1 pypi_0 pypi
matplotlib-inline 0.1.6 pypi_0 pypi
moderngl 5.10.0 pypi_0 pypi
moderngl-window 2.4.6 pypi_0 pypi
mpmath 1.3.0 pypi_0 pypi
multidict 6.0.5 pypi_0 pypi
multipledispatch 1.0.0 pypi_0 pypi
mypy-extensions 1.0.0 pypi_0 pypi
ncurses 6.4 h6a678d5_0 defaults
nest-asyncio 1.6.0 pypi_0 pypi
networkx 3.1 pypi_0 pypi
ninja 1.11.1.1 pypi_0 pypi
numpy 1.23.1 pypi_0 pypi
nvdiffrast 0.3.1 pypi_0 pypi
nvidia-cublas-cu12 12.1.3.1 pypi_0 pypi
nvidia-cuda-cupti-cu12 12.1.105 pypi_0 pypi
nvidia-cuda-nvrtc-cu12 12.1.105 pypi_0 pypi
nvidia-cuda-runtime-cu12 12.1.105 pypi_0 pypi
nvidia-cudnn-cu12 8.9.2.26 pypi_0 pypi
nvidia-cufft-cu12 11.0.2.54 pypi_0 pypi
nvidia-curand-cu12 10.3.2.106 pypi_0 pypi
nvidia-cusolver-cu12 11.4.5.107 pypi_0 pypi
nvidia-cusparse-cu12 12.1.0.106 pypi_0 pypi
nvidia-nccl-cu12 2.19.3 pypi_0 pypi
nvidia-nvjitlink-cu12 12.4.127 pypi_0 pypi
nvidia-nvtx-cu12 12.1.105 pypi_0 pypi
oauthlib 3.2.2 pypi_0 pypi
omegaconf 2.1.2 pypi_0 pypi
opencv-contrib-python-headless 4.6.0.66 pypi_0 pypi
opencv-python-headless 4.6.0.66 pypi_0 pypi
openssl 1.1.1w h7f8727e_0 defaults
packaging 24.0 pypi_0 pypi
parso 0.8.4 pypi_0 pypi
pexpect 4.9.0 pypi_0 pypi
pickleshare 0.7.5 pypi_0 pypi
pillow 10.3.0 pypi_0 pypi
pip 23.3.1 py38h06a4308_0 defaults
platformdirs 4.2.0 pypi_0 pypi
portalocker 2.8.2 pypi_0 pypi
prompt-toolkit 3.0.43 pypi_0 pypi
protobuf 5.26.1 pypi_0 pypi
ptyprocess 0.7.0 pypi_0 pypi
pure-eval 0.2.2 pypi_0 pypi
pyasn1 0.6.0 pypi_0 pypi
pyasn1-modules 0.4.0 pypi_0 pypi
pybind11 2.12.0 pypi_0 pypi
pydeprecate 0.3.1 pypi_0 pypi
pyglet 2.0.15 pypi_0 pypi
pygltflib 1.16.2 pypi_0 pypi
pygments 2.17.2 pypi_0 pypi
pyqt5 5.15.10 pypi_0 pypi
pyqt5-qt5 5.15.2 pypi_0 pypi
pyqt5-sip 12.13.0 pypi_0 pypi
pyrr 0.10.3 pypi_0 pypi
python 3.8.1 h0371630_1 defaults
python-dateutil 2.9.0.post0 pypi_0 pypi
pytorch-lightning 1.5.7 pypi_0 pypi
pytorch3d 0.7.2 py38_cu116_pyt1131
I didn't run segment-anything successfully in processing the video data.I fix this problem today and get good body model.Thanks for your great work and help.
Thanks for your great job.
I can't get good body model in using
bash run-neuman-demo.sh
. I got obscure images in InstantAvatar/outputs/neuman/baseline/seattle/animation/progression when performing fit.py like this images: I set epoch to 400 didn't improve the result. And I also got bad result after running train.py like this: What I got after processing data:log: bash ./bash/run-neuman-demo.sh QOpenGLContext::swapBuffers() called with non-exposed window, behavior is undefined QOpenGLContext::swapBuffers() called with non-exposed window, behavior is undefined Duration: 1.32s @ 120.05 FPS Global seed set to 42 Switch to /home/wh/project/InstantAvatar/outputs/neuman/baseline/seattle [train] No optimized smpl found. [val] No optimized smpl found. [test] No optimized smpl found. [2024-04-19 10:04:40,355][torch.distributed.nn.jit.instantiator][INFO] - Created a temporary directory at /tmp/tmp3iywwkpd [2024-04-19 10:04:40,355][torch.distributed.nn.jit.instantiator][INFO] - Writing /tmp/tmp3iywwkpd/_remote_module_non_scriptable.py Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off] Loading model from: /home/wh/project/InstantAvatar/third_parties/lpips/weights/v0.1/vgg.pth GPU available: True, used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs Saving configs. LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
| Name | Type | Params 0 | net_coarse | NeRFNGPNet | 13.0 M 1 | SMPL_param | SMPLParamEmbedding | 3.1 K 2 | loss_fn | NGPLoss | 14.7 M 3 | renderer | Raymarcher | 0
13.0 M Trainable params 14.7 M Non-trainable params 27.8 M Total params 111.022 Total estimated model params size (MB) /home/wh/anaconda3/envs/ins/lib/python3.8/site-packages/pytorch_lightning/trainer/data_loading.py:412: UserWarning: The number of training samples (41) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch. rank_zero_warn( Epoch 399: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 42/42 [00:09<00:00, 4.47it/s, v_num=0] Save optimized pose to /home/wh/project/InstantAvatar/data/custom/seattle/poses/train.npz
Global seed set to 42 Switch to /home/wh/project/InstantAvatar/outputs/neuman/baseline/seattle [train] Loading from /home/wh/project/InstantAvatar/data/custom/seattle/poses/train.npz [val] No optimized smpl found. [test] No optimized smpl found. [2024-04-19 10:34:55,128][torch.distributed.nn.jit.instantiator][INFO] - Created a temporary directory at /tmp/tmpps0wff_b [2024-04-19 10:34:55,128][torch.distributed.nn.jit.instantiator][INFO] - Writing /tmp/tmpps0wff_b/_remote_module_non_scriptable.py Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off] Loading model from: /home/wh/project/InstantAvatar/third_parties/lpips/weights/v0.1/vgg.pth GPU available: True, used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs Saving configs. LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
| Name | Type | Params 0 | net_coarse | NeRFNGPNet | 13.0 M 1 | loss_fn | NGPLoss | 14.7 M 2 | renderer | Raymarcher | 0
13.0 M Trainable params 14.7 M Non-trainable params 27.8 M Total params 111.009 Total estimated model params size (MB) /home/wh/anaconda3/envs/ins/lib/python3.8/site-packages/pytorch_lightning/callbacks/model_checkpoint.py:631: UserWarning: Checkpoint directory checkpoints/ exists and is not empty. rank_zero_warn(f"Checkpoint directory {dirpath} exists and is not empty.") /home/wh/anaconda3/envs/ins/lib/python3.8/site-packages/pytorch_lightning/trainer/data_loading.py:412: UserWarning: The number of training samples (41) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch. rank_zero_warn( Epoch 399: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 42/42 [00:24<00:00, 1.68it/s, v_num=0] Global seed set to 42
Switch to /home/wh/project/InstantAvatar/outputs/neuman/baseline/seattle [train] Loading from /home/wh/project/InstantAvatar/data/custom/seattle/poses/train.npz [val] No optimized smpl found. [test] No optimized smpl found. [2024-04-19 11:49:57,490][torch.distributed.nn.jit.instantiator][INFO] - Created a temporary directory at /tmp/tmp3n7mncvq [2024-04-19 11:49:57,491][torch.distributed.nn.jit.instantiator][INFO] - Writing /tmp/tmp3n7mncvq/_remote_module_non_scriptable.py Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off] Loading model from: /home/wh/project/InstantAvatar/third_parties/lpips/weights/v0.1/vgg.pth Resume from checkpoints/last.ckpt 60it [03:42, 3.71s/it] Global seed set to 42 Switch to /home/wh/project/InstantAvatar/outputs/neuman/baseline/seattle [train] Loading from /home/wh/project/InstantAvatar/data/custom/seattle/poses/train.npz [val] No optimized smpl found. [test] No optimized smpl found. [2024-04-19 11:53:49,076][torch.distributed.nn.jit.instantiator][INFO] - Created a temporary directory at /tmp/tmp8jecsoss [2024-04-19 11:53:49,076][torch.distributed.nn.jit.instantiator][INFO] - Writing /tmp/tmp8jecsoss/_remote_module_non_scriptable.py Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off] Loading model from: /home/wh/project/InstantAvatar/third_parties/lpips/weights/v0.1/vgg.pth Resume from checkpoints/last.ckpt 320it [11:41, 2.19s/it]