mmpose
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20 hours ago •
open-mmlab
open-mmlab
2D topdown pose with mmtracking demo not working
Checklist
- [x] I have searched related issues but cannot get the expected help.
- [x] The bug has not been fixed in the latest version.
Describe the bug
Running the 2D Top-Down Video Human Pose Tracking Demo with MMTracking demo doesn't work with the provided command, config, and demo data.
Reproduction
- What command or script did you run?
python demo/top_down_pose_tracking_demo_with_mmtracking.py demo/mmtracking_cfg/tracktor_faster-rcnn_r50_fpn_4e_mot17-private.py configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/res50_coco_256x192.py https://download.openmmlab.com/mmpose/top_down/resnet/res50_coco_256x192-ec54d7f3_20200709.pth --video-path demo/resources/demo.mp4 --out-video-root vis_results
-
What config did you run?
demo/mmtracking_cfg/tracktor_faster-rcnn_r50_fpn_4e_mot17-private.pyandconfigs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/res50_coco_256x192.py -
Did you make any modifications on the code or config? Did you understand what you have modified? No modifications were made. Using demo code (
demo/top_down_pose_tracking_demo_with_mmtracking.py) from 148091e (masteron Dec 19, 2022). -
What dataset did you use? Demo video (
demo/resources/demo.mp4) with 2D Top-Down Video Human Pose Tracking Demo with MMTracking demo.
Environment
- Please run
PYTHONPATH=${PWD}:$PYTHONPATH python mmpose/utils/collect_env.pyto collect necessary environment information and paste it here.
/opt/conda/envs/mmpose/lib/python3.8/site-packages/mmcv/__init__.py:20: UserWarning: On January 1, 2023, MMCV will release v2.0.0, in which it will remove components related to the training process and add a data transformation module. In addition, it will rename the package names mmcv to mmcv-lite and mmcv-full to mmcv. See https://github.com/open-mmlab/mmcv/blob/master/docs/en/compatibility.md for more details.
warnings.warn(
sys.platform: linux
Python: 3.8.15 (default, Nov 24 2022, 15:19:38) [GCC 11.2.0]
CUDA available: True
GPU 0: NVIDIA A40
CUDA_HOME: /opt/conda/envs/mmpose
NVCC: Cuda compilation tools, release 11.7, V11.7.99
GCC: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
PyTorch: 1.13.1
PyTorch compiling details: PyTorch built with:
- GCC 9.3
- C++ Version: 201402
- Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 11.7
- 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_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
- CuDNN 8.5
- Magma 2.6.1
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, 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, USE_ROCM=OFF,
TorchVision: 0.14.1
OpenCV: 4.6.0
MMCV: 1.7.0
MMCV Compiler: GCC 9.3
MMCV CUDA Compiler: 11.7
MMPose: 0.29.0+148091e
- You may add addition that may be helpful for locating the problem, such as
- How you installed PyTorch [e.g., pip, conda, source]
- Other environment variables that may be related (such as
$PATH,$LD_LIBRARY_PATH,$PYTHONPATH, etc.)
# Create environment
# Note: Order of channels is important to ensure GPU dependencies get installed correctly!
conda create --name mmpose python=3.8 pytorch=1.13 torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia -c defaults -y && conda activate mmpose
# Test that pytorch can be imported, which version and that GPU is accessible
python -c "import torch; print(torch.__version__); print(torch.cuda.is_available())"
# Install mmlab pre-requisites
pip install openmim
mim install mmcv-full==1.7.0
# Install mmpose
cd ~ && git clone https://github.com/open-mmlab/mmpose.git && cd mmpose
pip install -r requirements.txt
pip install -v -e .
# Install other openmmlab deps
conda install -c conda-forge ffmpeg
pip install ffmpegcv
pip install mmdet
cd ~ && git clone https://github.com/open-mmlab/mmtracking.git && cd mmtracking
pip install -r requirements.txt
pip install -v -e .
Error traceback
If applicable, paste the error traceback here.
(mmpose) jovyan@talmo-nb2-0-0:~/mmpose$ python demo/top_down_pose_tracking_demo_with_mmtracking.py demo/mmtracking_cfg/tracktor_faster-rcnn_r50_fpn_4e_mot17-private.py configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/res50_coco_256x192.py https://download.openmmlab.com/mmpose/top_down/resnet/res50_coco_256x192-ec54d7f3_20200709.pth --video-path demo/resources/demo.mp4 --out-video-root vis_results
/opt/conda/envs/mmpose/lib/python3.8/site-packages/mmcv/__init__.py:20: UserWarning: On January 1, 2023, MMCV will release v2.0.0, in which it will remove components related to the training process and add a data transformation module. In addition, it will rename the package names mmcv to mmcv-lite and mmcv-full to mmcv. See https://github.com/open-mmlab/mmcv/blob/master/docs/en/compatibility.md for more details.
warnings.warn(
Initializing model...
/home/jovyan/mmtracking/mmtrack/models/mot/tracktor.py:28: UserWarning: DeprecationWarning: pretrains is deprecated, please use "init_cfg" instead
warnings.warn('DeprecationWarning: pretrains is deprecated, '
2022-12-19 23:51:49,124 - mmtrack - INFO - initialize FasterRCNN with init_cfg {'type': 'Pretrained', 'checkpoint': 'https://download.openmmlab.com/mmtracking/mot/faster_rcnn/faster-rcnn_r50_fpn_4e_mot17-ffa52ae7.pth'}
2022-12-19 23:51:49,125 - mmcv - INFO - load model from: https://download.openmmlab.com/mmtracking/mot/faster_rcnn/faster-rcnn_r50_fpn_4e_mot17-ffa52ae7.pth
2022-12-19 23:51:49,126 - mmcv - INFO - load checkpoint from http path: https://download.openmmlab.com/mmtracking/mot/faster_rcnn/faster-rcnn_r50_fpn_4e_mot17-ffa52ae7.pth
2022-12-19 23:51:49,269 - mmtrack - INFO - initialize BaseReID with init_cfg {'type': 'Pretrained', 'checkpoint': 'https://download.openmmlab.com/mmtracking/mot/reid/reid_r50_6e_mot17-4bf6b63d.pth'}
2022-12-19 23:51:49,269 - mmcv - INFO - load model from: https://download.openmmlab.com/mmtracking/mot/reid/reid_r50_6e_mot17-4bf6b63d.pth
2022-12-19 23:51:49,269 - mmcv - INFO - load checkpoint from http path: https://download.openmmlab.com/mmtracking/mot/reid/reid_r50_6e_mot17-4bf6b63d.pth
Warning: The model doesn't have classes
load checkpoint from http path: https://download.openmmlab.com/mmpose/top_down/resnet/res50_coco_256x192-ec54d7f3_20200709.pth
Running inference...
[>>>>>>>>>> ] 1/5, 0.7 task/s, elapsed: 2s, ETA: 6sTraceback (most recent call last):
File "demo/top_down_pose_tracking_demo_with_mmtracking.py", line 226, in <module>
main()
File "demo/top_down_pose_tracking_demo_with_mmtracking.py", line 177, in main
mmtracking_results = inference_mot(
File "/home/jovyan/mmtracking/mmtrack/apis/inference.py", line 122, in inference_mot
result = model(return_loss=False, rescale=True, **data)
File "/opt/conda/envs/mmpose/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/opt/conda/envs/mmpose/lib/python3.8/site-packages/mmcv/runner/fp16_utils.py", line 119, in new_func
return old_func(*args, **kwargs)
File "/home/jovyan/mmtracking/mmtrack/models/mot/base.py", line 136, in forward
return self.forward_test(img, img_metas, **kwargs)
File "/home/jovyan/mmtracking/mmtrack/models/mot/base.py", line 113, in forward_test
return self.simple_test(imgs[0], img_metas[0], **kwargs)
File "/home/jovyan/mmtracking/mmtrack/models/mot/tracktor.py", line 135, in simple_test
track_bboxes, track_labels, track_ids = self.tracker.track(
File "/opt/conda/envs/mmpose/lib/python3.8/site-packages/mmcv/runner/fp16_utils.py", line 208, in new_func
return old_func(*args, **kwargs)
File "/home/jovyan/mmtracking/mmtrack/models/trackers/tracktor_tracker.py", line 151, in track
prop_bboxes, prop_labels, prop_ids = self.regress_tracks(
File "/home/jovyan/mmtracking/mmtrack/models/trackers/tracktor_tracker.py", line 78, in regress_tracks
ids = ids[valid_inds]
RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu)
Misc notes:
- The
mmtrackingdemo command from themmtrackingdocs works in this environment:
python demo/demo_mot_vis.py configs/mot/deepsort/sort_faster-rcnn_fpn_4e_mot17-private.py --input demo/demo.mp4 --output mot.mp4
- The other
mmposedemo commands that don't usemmtrackingalso work.
Hi, thanks for using MMPose. Could you please provide the information about the version of mmtrack you use?
The commit above is probably the most helpful since mmtracking is installed from source, but here's the rest of the env if it helps:
Click to expand full conda env...
(mmpose) jovyan@talmo-nb2-0-0:~/mmtracking$ conda list
# packages in environment at /opt/conda/envs/mmpose:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main defaults
_openmp_mutex 5.1 1_gnu defaults
addict 2.4.0 pypi_0 pypi
asttokens 2.2.1 pypi_0 pypi
asynctest 0.13.0 pypi_0 pypi
attributee 0.1.7 pypi_0 pypi
attrs 22.1.0 pypi_0 pypi
backcall 0.2.0 pypi_0 pypi
blas 1.0 mkl defaults
brotlipy 0.7.0 py38h27cfd23_1003 defaults
bzip2 1.0.8 h7b6447c_0 defaults
ca-certificates 2022.12.7 ha878542_0 conda-forge
certifi 2022.12.7 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py38h5eee18b_3 defaults
charset-normalizer 2.0.4 pyhd3eb1b0_0 defaults
chumpy 0.70 pypi_0 pypi
click 8.1.3 pypi_0 pypi
codecov 2.1.12 pypi_0 pypi
colorama 0.4.6 pypi_0 pypi
coloredlogs 15.0.1 pypi_0 pypi
comm 0.1.2 pypi_0 pypi
commonmark 0.9.1 pypi_0 pypi
contourpy 1.0.6 pypi_0 pypi
coverage 7.0.0 pypi_0 pypi
cryptography 38.0.1 py38h9ce1e76_0 defaults
cuda 11.7.1 0 nvidia
cuda-cccl 11.7.91 0 nvidia
cuda-command-line-tools 11.7.1 0 nvidia
cuda-compiler 11.7.1 0 nvidia
cuda-cudart 11.7.99 0 nvidia
cuda-cudart-dev 11.7.99 0 nvidia
cuda-cuobjdump 11.7.91 0 nvidia
cuda-cupti 11.7.101 0 nvidia
cuda-cuxxfilt 11.7.91 0 nvidia
cuda-demo-suite 12.0.76 0 nvidia
cuda-documentation 12.0.76 0 nvidia
cuda-driver-dev 11.7.99 0 nvidia
cuda-gdb 12.0.90 0 nvidia
cuda-libraries 11.7.1 0 nvidia
cuda-libraries-dev 11.7.1 0 nvidia
cuda-memcheck 11.8.86 0 nvidia
cuda-nsight 12.0.78 0 nvidia
cuda-nsight-compute 12.0.0 0 nvidia
cuda-nvcc 11.7.99 0 nvidia
cuda-nvdisasm 12.0.76 0 nvidia
cuda-nvml-dev 11.7.91 0 nvidia
cuda-nvprof 12.0.90 0 nvidia
cuda-nvprune 11.7.91 0 nvidia
cuda-nvrtc 11.7.99 0 nvidia
cuda-nvrtc-dev 11.7.99 0 nvidia
cuda-nvtx 11.7.91 0 nvidia
cuda-nvvp 12.0.90 0 nvidia
cuda-runtime 11.7.1 0 nvidia
cuda-sanitizer-api 12.0.90 0 nvidia
cuda-toolkit 11.7.1 0 nvidia
cuda-tools 11.7.1 0 nvidia
cuda-visual-tools 11.7.1 0 nvidia
cycler 0.11.0 pypi_0 pypi
cython 0.29.32 pypi_0 pypi
debugpy 1.6.4 pypi_0 pypi
decorator 5.1.1 pypi_0 pypi
dotty-dict 1.3.1 pypi_0 pypi
einops 0.6.0 pypi_0 pypi
entrypoints 0.4 pypi_0 pypi
exceptiongroup 1.0.4 pypi_0 pypi
executing 1.2.0 pypi_0 pypi
ffmpeg 4.3 hf484d3e_0 pytorch
ffmpegcv 0.2.6 pypi_0 pypi
flake8 6.0.0 pypi_0 pypi
flatbuffers 22.12.6 pypi_0 pypi
flit-core 3.6.0 pyhd3eb1b0_0 defaults
fonttools 4.38.0 pypi_0 pypi
freetype 2.12.1 h4a9f257_0 defaults
freetype-py 2.3.0 pypi_0 pypi
gds-tools 1.5.0.59 0 nvidia
giflib 5.2.1 h7b6447c_0 defaults
gmp 6.2.1 h295c915_3 defaults
gnutls 3.6.15 he1e5248_0 defaults
humanfriendly 10.0 pypi_0 pypi
idna 3.4 py38h06a4308_0 defaults
imageio 2.23.0 pypi_0 pypi
importlib-metadata 5.2.0 pypi_0 pypi
iniconfig 1.1.1 pypi_0 pypi
intel-openmp 2021.4.0 h06a4308_3561 defaults
interrogate 1.5.0 pypi_0 pypi
ipykernel 6.19.3 pypi_0 pypi
ipython 8.7.0 pypi_0 pypi
isort 4.3.21 pypi_0 pypi
jedi 0.18.2 pypi_0 pypi
jpeg 9e h7f8727e_0 defaults
json-tricks 3.16.1 pypi_0 pypi
jupyter-client 7.4.8 pypi_0 pypi
jupyter-core 5.1.0 pypi_0 pypi
kiwisolver 1.4.4 pypi_0 pypi
kwarray 0.6.5 pypi_0 pypi
lame 3.100 h7b6447c_0 defaults
lap 0.4.0 pypi_0 pypi
lcms2 2.12 h3be6417_0 defaults
ld_impl_linux-64 2.38 h1181459_1 defaults
lerc 3.0 h295c915_0 defaults
libcublas 11.10.3.66 0 nvidia
libcublas-dev 11.10.3.66 0 nvidia
libcufft 10.7.2.124 h4fbf590_0 nvidia
libcufft-dev 10.7.2.124 h98a8f43_0 nvidia
libcufile 1.5.0.59 0 nvidia
libcufile-dev 1.5.0.59 0 nvidia
libcurand 10.3.1.50 0 nvidia
libcurand-dev 10.3.1.50 0 nvidia
libcusolver 11.4.0.1 0 nvidia
libcusolver-dev 11.4.0.1 0 nvidia
libcusparse 11.7.4.91 0 nvidia
libcusparse-dev 11.7.4.91 0 nvidia
libdeflate 1.8 h7f8727e_5 defaults
libffi 3.4.2 h6a678d5_6 defaults
libgcc-ng 11.2.0 h1234567_1 defaults
libgomp 11.2.0 h1234567_1 defaults
libiconv 1.16 h7f8727e_2 defaults
libidn2 2.3.2 h7f8727e_0 defaults
libnpp 11.7.4.75 0 nvidia
libnpp-dev 11.7.4.75 0 nvidia
libnvjpeg 11.8.0.2 0 nvidia
libnvjpeg-dev 11.8.0.2 0 nvidia
libpng 1.6.37 hbc83047_0 defaults
libstdcxx-ng 11.2.0 h1234567_1 defaults
libtasn1 4.16.0 h27cfd23_0 defaults
libtiff 4.4.0 hecacb30_2 defaults
libunistring 0.9.10 h27cfd23_0 defaults
libwebp 1.2.4 h11a3e52_0 defaults
libwebp-base 1.2.4 h5eee18b_0 defaults
lz4-c 1.9.4 h6a678d5_0 defaults
markdown 3.4.1 pypi_0 pypi
matplotlib 3.6.2 pypi_0 pypi
matplotlib-inline 0.1.6 pypi_0 pypi
mccabe 0.7.0 pypi_0 pypi
mkl 2021.4.0 h06a4308_640 defaults
mkl-service 2.4.0 py38h7f8727e_0 defaults
mkl_fft 1.3.1 py38hd3c417c_0 defaults
mkl_random 1.2.2 py38h51133e4_0 defaults
mmcls 0.25.0 pypi_0 pypi
mmcv-full 1.7.0 pypi_0 pypi
mmdet 2.26.0 pypi_0 pypi
mmpose 0.29.0 dev_0 <develop>
mmtrack 0.14.0 dev_0 <develop>
model-index 0.1.11 pypi_0 pypi
motmetrics 1.2.5 pypi_0 pypi
mpmath 1.2.1 pypi_0 pypi
munkres 1.1.4 pypi_0 pypi
ncurses 6.3 h5eee18b_3 defaults
nest-asyncio 1.5.6 pypi_0 pypi
nettle 3.7.3 hbbd107a_1 defaults
networkx 2.8.8 pypi_0 pypi
nsight-compute 2022.4.0.15 0 nvidia
numpy 1.22.4 pypi_0 pypi
onnx 1.13.0 pypi_0 pypi
onnxruntime 1.13.1 pypi_0 pypi
opencv-python 4.6.0.66 pypi_0 pypi
openh264 2.1.1 h4ff587b_0 defaults
openmim 0.3.3 pypi_0 pypi
openssl 1.1.1s h7f8727e_0 defaults
ordered-set 4.1.0 pypi_0 pypi
packaging 22.0 pypi_0 pypi
pandas 1.3.5 pypi_0 pypi
parso 0.8.3 pypi_0 pypi
pexpect 4.8.0 pypi_0 pypi
pickleshare 0.7.5 pypi_0 pypi
pillow 9.2.0 py38hace64e9_1 defaults
pip 22.3.1 py38h06a4308_0 defaults
platformdirs 2.6.0 pypi_0 pypi
pluggy 1.0.0 pypi_0 pypi
poseval 0.1.0 pypi_0 pypi
prompt-toolkit 3.0.36 pypi_0 pypi
protobuf 3.20.3 pypi_0 pypi
psutil 5.9.4 pypi_0 pypi
ptyprocess 0.7.0 pypi_0 pypi
pure-eval 0.2.2 pypi_0 pypi
py 1.11.0 pypi_0 pypi
pycocotools 2.0.6 pypi_0 pypi
pycodestyle 2.10.0 pypi_0 pypi
pycparser 2.21 pyhd3eb1b0_0 defaults
pyflakes 3.0.1 pypi_0 pypi
pyglet 2.0.2.1 pypi_0 pypi
pygments 2.13.0 pypi_0 pypi
pyopengl 3.1.0 pypi_0 pypi
pyopenssl 22.0.0 pyhd3eb1b0_0 defaults
pyparsing 3.0.9 pypi_0 pypi
pyrender 0.1.45 pypi_0 pypi
pysocks 1.7.1 py38h06a4308_0 defaults
pytest 7.2.0 pypi_0 pypi
pytest-runner 6.0.0 pypi_0 pypi
python 3.8.15 h7a1cb2a_2 defaults
python-dateutil 2.8.2 pypi_0 pypi
pytorch 1.13.1 py3.8_cuda11.7_cudnn8.5.0_0 pytorch
pytorch-cuda 11.7 h67b0de4_1 pytorch
pytorch-mutex 1.0 cuda pytorch
pytz 2022.7 pypi_0 pypi
pyyaml 6.0 pypi_0 pypi
pyzmq 24.0.1 pypi_0 pypi
readline 8.2 h5eee18b_0 defaults
requests 2.28.1 py38h06a4308_0 defaults
rich 12.6.0 pypi_0 pypi
scipy 1.7.3 pypi_0 pypi
seaborn 0.12.1 pypi_0 pypi
setuptools 65.5.0 py38h06a4308_0 defaults
shapely 2.0.0 pypi_0 pypi
six 1.16.0 pyhd3eb1b0_1 defaults
smplx 0.1.28 pypi_0 pypi
sqlite 3.40.0 h5082296_0 defaults
stack-data 0.6.2 pypi_0 pypi
sympy 1.11.1 pypi_0 pypi
tabulate 0.9.0 pypi_0 pypi
terminaltables 3.1.10 pypi_0 pypi
tk 8.6.12 h1ccaba5_0 defaults
toml 0.10.2 pypi_0 pypi
tomli 2.0.1 pypi_0 pypi
torchaudio 0.13.1 py38_cu117 pytorch
torchvision 0.14.1 py38_cu117 pytorch
tornado 6.2 pypi_0 pypi
tqdm 4.64.1 pypi_0 pypi
traitlets 5.8.0 pypi_0 pypi
trimesh 3.17.1 pypi_0 pypi
typing_extensions 4.4.0 py38h06a4308_0 defaults
ubelt 1.2.3 pypi_0 pypi
urllib3 1.26.13 py38h06a4308_0 defaults
wcwidth 0.2.5 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0 defaults
xdoctest 1.1.0 pypi_0 pypi
xmltodict 0.13.0 pypi_0 pypi
xtcocotools 1.12 pypi_0 pypi
xz 5.2.8 h5eee18b_0 defaults
yapf 0.32.0 pypi_0 pypi
zipp 3.11.0 pypi_0 pypi
zlib 1.2.13 h5eee18b_0 defaults
zstd 1.5.2 ha4553b6_0 defaults
Here's just the important ones:
cuda 11.7.1 0 nvidia
lap 0.4.0 pypi_0 pypi
mmcv-full 1.7.0 pypi_0 pypi
mmdet 2.26.0 pypi_0 pypi
mmpose 0.29.0 dev_0 <develop>
mmtrack 0.14.0 dev_0 <develop>
numpy 1.22.4 pypi_0 pypi
opencv-python 4.6.0.66 pypi_0 pypi
python 3.8.15 h7a1cb2a_2 defaults
pytorch 1.13.1 py3.8_cuda11.7_cudnn8.5.0_0 pytorch
pytorch-cuda 11.7 h67b0de4_1 pytorch
Do you have any updates on this ? What is the best way to have a working setup of mmpose+mmtracking ?
For me, mmtracking updates numpy which then breaks numpy for mmpose. RuntimeError: module compiled against API version 0x10 but this version of numpy is 0xf .
I face a similar issue if I go the other way : mmtracking -> mmpose.
Here is my conda list with mmtracking->mmpose installation
_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
addict 2.4.0 pypi_0 pypi
attributee 0.1.7 pypi_0 pypi
attrs 22.2.0 pypi_0 pypi
blas 1.0 mkl
brotlipy 0.7.0 py38h27cfd23_1003
bzip2 1.0.8 h7b6447c_0
ca-certificates 2022.10.11 h06a4308_0
certifi 2022.12.7 py38h06a4308_0
cffi 1.15.1 py38h5eee18b_3
charset-normalizer 2.0.4 pyhd3eb1b0_0
chumpy 0.70 pypi_0 pypi
click 8.1.3 pypi_0 pypi
colorama 0.4.6 pypi_0 pypi
coloredlogs 15.0.1 pypi_0 pypi
commonmark 0.9.1 pypi_0 pypi
contourpy 1.0.7 pypi_0 pypi
coverage 7.0.5 pypi_0 pypi
cryptography 38.0.4 py38h9ce1e76_0
cuda 11.7.1 0 nvidia
cuda-cccl 11.7.91 0 nvidia
cuda-command-line-tools 11.7.1 0 nvidia
cuda-compiler 11.7.1 0 nvidia
cuda-cudart 11.7.99 0 nvidia
cuda-cudart-dev 11.7.99 0 nvidia
cuda-cuobjdump 11.7.91 0 nvidia
cuda-cupti 11.7.101 0 nvidia
cuda-cuxxfilt 11.7.91 0 nvidia
cuda-demo-suite 12.0.76 0 nvidia
cuda-documentation 12.0.76 0 nvidia
cuda-driver-dev 11.7.99 0 nvidia
cuda-gdb 12.0.90 0 nvidia
cuda-libraries 11.7.1 0 nvidia
cuda-libraries-dev 11.7.1 0 nvidia
cuda-memcheck 11.8.86 0 nvidia
cuda-nsight 12.0.78 0 nvidia
cuda-nsight-compute 12.0.0 0 nvidia
cuda-nvcc 11.7.99 0 nvidia
cuda-nvdisasm 12.0.76 0 nvidia
cuda-nvml-dev 11.7.91 0 nvidia
cuda-nvprof 12.0.90 0 nvidia
cuda-nvprune 11.7.91 0 nvidia
cuda-nvrtc 11.7.99 0 nvidia
cuda-nvrtc-dev 11.7.99 0 nvidia
cuda-nvtx 11.7.91 0 nvidia
cuda-nvvp 12.0.90 0 nvidia
cuda-runtime 11.7.1 0 nvidia
cuda-sanitizer-api 12.0.90 0 nvidia
cuda-toolkit 11.7.1 0 nvidia
cuda-tools 11.7.1 0 nvidia
cuda-visual-tools 11.7.1 0 nvidia
cycler 0.11.0 pypi_0 pypi
cython 0.29.33 pypi_0 pypi
dotty-dict 1.3.1 pypi_0 pypi
einops 0.6.0 pypi_0 pypi
exceptiongroup 1.1.0 pypi_0 pypi
ffmpeg 4.3 hf484d3e_0 pytorch
flake8 6.0.0 pypi_0 pypi
flatbuffers 23.1.4 pypi_0 pypi
flit-core 3.6.0 pyhd3eb1b0_0
fonttools 4.38.0 pypi_0 pypi
freetype 2.12.1 h4a9f257_0
freetype-py 2.3.0 pypi_0 pypi
gds-tools 1.5.0.59 0 nvidia
giflib 5.2.1 h7b6447c_0
gmp 6.2.1 h295c915_3
gnutls 3.6.15 he1e5248_0
humanfriendly 10.0 pypi_0 pypi
idna 3.4 py38h06a4308_0
imageio 2.24.0 pypi_0 pypi
importlib-metadata 6.0.0 pypi_0 pypi
iniconfig 2.0.0 pypi_0 pypi
intel-openmp 2021.4.0 h06a4308_3561
interrogate 1.5.0 pypi_0 pypi
isort 4.3.21 pypi_0 pypi
jpeg 9e h7f8727e_0
json-tricks 3.16.1 pypi_0 pypi
kiwisolver 1.4.4 pypi_0 pypi
lame 3.100 h7b6447c_0
lap 0.4.0 pypi_0 pypi
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.38 h1181459_1
lerc 3.0 h295c915_0
libcublas 11.10.3.66 0 nvidia
libcublas-dev 11.10.3.66 0 nvidia
libcufft 10.7.2.124 h4fbf590_0 nvidia
libcufft-dev 10.7.2.124 h98a8f43_0 nvidia
libcufile 1.5.0.59 0 nvidia
libcufile-dev 1.5.0.59 0 nvidia
libcurand 10.3.1.50 0 nvidia
libcurand-dev 10.3.1.50 0 nvidia
libcusolver 11.4.0.1 0 nvidia
libcusolver-dev 11.4.0.1 0 nvidia
libcusparse 11.7.4.91 0 nvidia
libcusparse-dev 11.7.4.91 0 nvidia
libdeflate 1.8 h7f8727e_5
libffi 3.4.2 h6a678d5_6
libgcc-ng 11.2.0 h1234567_1
libgomp 11.2.0 h1234567_1
libiconv 1.16 h7f8727e_2
libidn2 2.3.2 h7f8727e_0
libnpp 11.7.4.75 0 nvidia
libnpp-dev 11.7.4.75 0 nvidia
libnvjpeg 11.8.0.2 0 nvidia
libnvjpeg-dev 11.8.0.2 0 nvidia
libpng 1.6.37 hbc83047_0
libstdcxx-ng 11.2.0 h1234567_1
libtasn1 4.16.0 h27cfd23_0
libtiff 4.5.0 hecacb30_0
libunistring 0.9.10 h27cfd23_0
libwebp 1.2.4 h11a3e52_0
libwebp-base 1.2.4 h5eee18b_0
lz4-c 1.9.4 h6a678d5_0
markdown 3.4.1 pypi_0 pypi
matplotlib 3.6.3 pypi_0 pypi
mccabe 0.7.0 pypi_0 pypi
mkl 2021.4.0 h06a4308_640
mkl-service 2.4.0 py38h7f8727e_0
mkl_fft 1.3.1 py38hd3c417c_0
mkl_random 1.2.2 py38h51133e4_0
mmcls 0.25.0 pypi_0 pypi
mmcv-full 1.7.1 pypi_0 pypi
mmdet 2.27.0 pypi_0 pypi
mmengine 0.4.0 pypi_0 pypi
mmpose 0.29.0 dev_0 <develop>
mmtrack 0.14.0 dev_0 <develop>
model-index 0.1.11 pypi_0 pypi
motmetrics 1.4.0 pypi_0 pypi
mpmath 1.2.1 pypi_0 pypi
munkres 1.1.4 pypi_0 pypi
ncurses 6.3 h5eee18b_3
nettle 3.7.3 hbbd107a_1
networkx 3.0 pypi_0 pypi
nsight-compute 2022.4.0.15 0 nvidia
numpy 1.22.4 pypi_0 pypi
onnx 1.13.0 pypi_0 pypi
onnxruntime 1.13.1 pypi_0 pypi
opencv-python 4.7.0.68 pypi_0 pypi
openh264 2.1.1 h4ff587b_0
openmim 0.3.4 pypi_0 pypi
openssl 1.1.1s h7f8727e_0
ordered-set 4.1.0 pypi_0 pypi
packaging 23.0 pypi_0 pypi
pandas 1.3.5 pypi_0 pypi
pillow 9.3.0 py38hace64e9_1
pip 22.3.1 py38h06a4308_0
pluggy 1.0.0 pypi_0 pypi
poseval 0.1.0 pypi_0 pypi
protobuf 3.20.3 pypi_0 pypi
py 1.11.0 pypi_0 pypi
pycocotools 2.0.6 pypi_0 pypi
pycodestyle 2.10.0 pypi_0 pypi
pycparser 2.21 pyhd3eb1b0_0
pyflakes 3.0.1 pypi_0 pypi
pyglet 2.0.3 pypi_0 pypi
pygments 2.14.0 pypi_0 pypi
pyopengl 3.1.0 pypi_0 pypi
pyopenssl 22.0.0 pyhd3eb1b0_0
pyparsing 3.0.9 pypi_0 pypi
pyrender 0.1.45 pypi_0 pypi
pysocks 1.7.1 py38_0
pytest 7.2.0 pypi_0 pypi
pytest-runner 6.0.0 pypi_0 pypi
python 3.8.15 h7a1cb2a_2
python-dateutil 2.8.2 pypi_0 pypi
pytorch 1.13.1 py3.8_cuda11.7_cudnn8.5.0_0 pytorch
pytorch-cuda 11.7 h67b0de4_1 pytorch
pytorch-mutex 1.0 cuda pytorch
pytz 2022.7 pypi_0 pypi
pyyaml 6.0 pypi_0 pypi
readline 8.2 h5eee18b_0
requests 2.28.1 py38h06a4308_0
rich 13.0.1 pypi_0 pypi
scipy 1.7.3 pypi_0 pypi
seaborn 0.12.2 pypi_0 pypi
setuptools 65.6.3 py38h06a4308_0
shapely 2.0.0 pypi_0 pypi
six 1.16.0 pyhd3eb1b0_1
smplx 0.1.28 pypi_0 pypi
sqlite 3.40.1 h5082296_0
sympy 1.11.1 pypi_0 pypi
tabulate 0.9.0 pypi_0 pypi
termcolor 2.2.0 pypi_0 pypi
terminaltables 3.1.10 pypi_0 pypi
tk 8.6.12 h1ccaba5_0
toml 0.10.2 pypi_0 pypi
tomli 2.0.1 pypi_0 pypi
torchaudio 0.13.1 py38_cu117 pytorch
torchvision 0.14.1 py38_cu117 pytorch
tqdm 4.64.1 pypi_0 pypi
trimesh 3.18.0 pypi_0 pypi
typing_extensions 4.4.0 py38h06a4308_0
urllib3 1.26.13 py38h06a4308_0
wheel 0.37.1 pyhd3eb1b0_0
xdoctest 1.1.0 pypi_0 pypi
xmltodict 0.13.0 pypi_0 pypi
xtcocotools 1.13 pypi_0 pypi
xz 5.2.8 h5eee18b_0
yapf 0.32.0 pypi_0 pypi
zipp 3.11.0 pypi_0 pypi
zlib 1.2.13 h5eee18b_0
zstd 1.5.2 ha4553b6_0
Thanks!
@anshulbshah Hi, when I meet this question,at first ,I try $ pip install --upgrade numpy(X) but hava no effect
refetr to https://github.com/open-mmlab/mmpose/issues/2195 For this issue, please try reinstalling xtcocotools from source. then , the question should be solved!
