35 lines
1.1 KiB
Docker
Executable file
35 lines
1.1 KiB
Docker
Executable file
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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ARG FROM_IMAGE_NAME=nvcr.io/nvidia/pytorch:20.06-py3
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FROM ${FROM_IMAGE_NAME}
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# Install Python dependencies
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RUN pip install --no-cache-dir \
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mlperf-compliance==0.0.10 \
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opencv-python==4.4.0.42 \
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git+https://github.com/NVIDIA/dllogger \
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yacs
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# Copy detectron code and build
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WORKDIR /workspace/object_detection
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RUN mkdir -p /datasets/data
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RUN mkdir /results
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COPY . .
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RUN pip install -e .
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RUN /opt/conda/bin/conda install -y numpy
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ENV OMP_NUM_THREADS=1
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