Comments (1)
Running
conda env create -f environment.yml
in command:conda --version:
4.13.0
Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... failed ResolvePackageNotFound: - _openmp_mutex==4.5=1_gnu - lcms2==2.12=h3be6417_0 - lame==3.100=h7b6447c_0 - ninja==1.10.2=hff7bd54_1 - mkl_fft==1.3.0=py38h42c9631_2 - xz==5.2.5=h7b6447c_0 - torchvision==0.9.1=py38_cu101 - numpy==1.20.3=py38hf144106_0 - libgcc-ng==9.3.0=h5101ec6_17 - openssl==1.1.1k=h27cfd23_0 - mkl-service==2.4.0=py38h7f8727e_0 - readline==8.1=h27cfd23_0 - libuv==1.40.0=h7b6447c_0 - libwebp-base==1.2.0=h27cfd23_0 - intel-openmp==2021.3.0=h06a4308_3350 - libtasn1==4.16.0=h27cfd23_0 - mkl_random==1.2.2=py38h51133e4_0 - libiconv==1.15=h63c8f33_5 - ncurses==6.2=he6710b0_1 - zstd==1.4.9=haebb681_0 - ffmpeg==4.3=hf484d3e_0 - freetype==2.10.4=h5ab3b9f_0 - libgomp==9.3.0=h5101ec6_17 - openjpeg==2.3.0=h05c96fa_1 - pytorch==1.8.1=py3.8_cuda10.1_cudnn7.6.3_0 - certifi==2021.5.30=py38h06a4308_0 - tk==8.6.10=hbc83047_0 - mkl==2021.3.0=h06a4308_520 - lz4-c==1.9.3=h295c915_1 - pip==21.0.1=py38h06a4308_0 - pillow==8.3.1=py38h2c7a002_0 - libtiff==4.2.0=h85742a9_0 - numpy-base==1.20.3=py38h74d4b33_0 - gmp==6.2.1=h2531618_2 - gnutls==3.6.15=he1e5248_0 - openh264==2.1.0=hd408876_0 - nettle==3.7.3=hbbd107a_1 - libunistring==0.9.10=h27cfd23_0 - python==3.8.11=h12debd9_0_cpython - libffi==3.3=he6710b0_2 - cudatoolkit==10.1.243=h6bb024c_0 - libidn2==2.3.2=h7f8727e_0 - zlib==1.2.11=h7b6447c_3 - ca-certificates==2021.7.5=h06a4308_1 - sqlite==3.36.0=hc218d9a_0 - libpng==1.6.37=hbc83047_0 - setuptools==52.0.0=py38h06a4308_0 - libstdcxx-ng==9.3.0=hd4cf53a_17 - bzip2==1.0.8=h7b6447c_0 - jpeg==9b=h024ee3a_2 - ld_impl_linux-64==2.35.1=h7274673_9
If you are trying it on Windows, then probably that is the issue. Switching to Linux would do.
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Related Issues (20)
- Why input size is 25 x 6? HOT 6
- Visualize failed HOT 2
- Text-to-Motion issue HOT 3
- AMASS Dataset issue
- The generated action is reversed HOT 3
- use smplx add-on HOT 3
- issue about rendering the sample HOT 13
- continuous issue about rendering the sample HOT 3
- SImilarities computed using motion and text embeddings are incorrect HOT 2
- two extra loss terms: mmd and hessian_penalty HOT 3
- results on HumanML3D dataset HOT 1
- Training for action recognition
- train in num_frames == -2
- Reproducing paper results HOT 1
- question about amass_parser.py HOT 1
- 'amass_30fps_legacy_db.pt' HOT 2
- consistency of the motion encoder and the motion decoder HOT 1
- AttributeError: 'AMASS' object has no attribute 'nfeats' HOT 2
- ffmpeg version HOT 4
- What device did you use to train the model and how long did it cost?
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from motionclip.