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This project forked from bowenbao/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
License: MIT License
Python 85.08%
C++ 5.16%
Cuda 8.72%
C 1.04%
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Reason why I am not using the Dockerfile
provided:
Upon trying to build the docker image required to run maskrcnn-benchmark, encountered the following error:
---> 3f88e5c9294a
Step 6/23 : RUN curl -so /miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && chmod +x /miniconda.sh && /miniconda.sh -b -p /miniconda && rm /miniconda.sh
---> Running in e710940e1b1d
Removing intermediate container e710940e1b1d
---> 2eaf2f270779
Step 7/23 : ENV PATH=/miniconda/bin:$PATH
---> Running in 4fde567bf542
Removing intermediate container 4fde567bf542
---> 73ae8db6895e
Step 8/23 : RUN /miniconda/bin/conda install -y conda-build && /miniconda/bin/conda create -y --name py36 python=3.6.7 && /miniconda/bin/conda clean -ya
---> Running in 2ef5d8bffc43
/bin/sh: 1: /miniconda/bin/conda: not found
No intention to fix this. Approaching to set up maskrcnn_benchmark
via conda
virtual environments.