Update skelda and dockerfile.
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@ -1,8 +1,8 @@
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FROM nvcr.io/nvidia/tensorflow:22.08-tf2-py3
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FROM nvcr.io/nvidia/tensorflow:22.08-tf2-py3
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ARG DEBIAN_FRONTEND=noninteractive
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ARG DEBIAN_FRONTEND=noninteractive
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ENV LANG C.UTF-8
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ENV LANG=C.UTF-8
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ENV LC_ALL C.UTF-8
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ENV LC_ALL=C.UTF-8
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WORKDIR /
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WORKDIR /
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RUN apt-get update && apt-get install -y --no-install-recommends feh
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RUN apt-get update && apt-get install -y --no-install-recommends feh
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@ -22,6 +22,8 @@ RUN pip3 install --upgrade --no-cache-dir "torchvision<0.15"
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# Install MMPose
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# Install MMPose
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RUN pip3 install --upgrade --no-cache-dir openmim
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RUN pip3 install --upgrade --no-cache-dir openmim
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RUN mim install mmengine
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RUN mim install mmengine
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RUN mim install "mmcv>=2,<2.2.0"
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RUN mim install "mmdet>=3"
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RUN mim install "mmpose>=1.1.0"
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RUN mim install "mmpose>=1.1.0"
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# Fix an error when importing mmpose
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# Fix an error when importing mmpose
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RUN pip3 install --upgrade --no-cache-dir numpy scipy
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RUN pip3 install --upgrade --no-cache-dir numpy scipy
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@ -421,7 +421,6 @@ def main():
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joint_names_net=joint_names_3d,
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joint_names_net=joint_names_3d,
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joint_names_use=eval_joints,
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joint_names_use=eval_joints,
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save_error_imgs=output_dir,
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save_error_imgs=output_dir,
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pred_imgpaths=all_paths,
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)
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)
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_ = evals.pcp.run_eval(
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_ = evals.pcp.run_eval(
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labels,
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labels,
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2
skelda
2
skelda
Submodule skelda updated: 85db8d366d...acae51f7ba
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