161 lines
6.2 KiB
Docker
161 lines
6.2 KiB
Docker
# Copyright 2019 The MediaPipe Authors.
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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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FROM ubuntu:18.04
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MAINTAINER <mediapipe@google.com>
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WORKDIR /io
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WORKDIR /mediapipe
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ENV DEBIAN_FRONTEND=noninteractive
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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ca-certificates \
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curl \
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ffmpeg \
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git \
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wget \
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unzip \
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python3-dev \
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python3-pip \
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python3-opencv \
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libopencv-core-dev \
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libopencv-highgui-dev \
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libopencv-imgproc-dev \
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libopencv-video-dev \
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libopencv-calib3d-dev \
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libopencv-features2d-dev \
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software-properties-common && \
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add-apt-repository -y ppa:openjdk-r/ppa && \
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apt-get update && apt-get install -y openjdk-8-jdk && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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RUN wget -O /mediapipe/BBB.mp4 https://download.blender.org/peach/bigbuckbunny_movies/BigBuckBunny_320x180.mp4
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RUN pip3 install --upgrade setuptools
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RUN pip3 install future
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RUN pip3 install six==1.14.0
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RUN pip3 install wheel
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RUN pip3 install tf_slim
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RUN pip3 install tensorflow==1.14.0
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RUN ln -s /usr/bin/python3 /usr/bin/python
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# Install bazel
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ARG BAZEL_VERSION=2.0.0
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RUN mkdir /bazel && \
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wget --no-check-certificate -O /bazel/installer.sh "https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel-${BAZEL_VERSION}-installer-linux-x86_64.sh" && \
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wget --no-check-certificate -O /bazel/LICENSE.txt "https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE" && \
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chmod +x /bazel/installer.sh && \
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/bazel/installer.sh && \
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rm -f /bazel/installer.sh
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COPY . /mediapipe/
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####
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#### BUILD
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####
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#object detection TF
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RUN bazel build -c opt \
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--define MEDIAPIPE_DISABLE_GPU=1 \
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--define no_aws_support=true \
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--linkopt=-s \
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mediapipe/examples/desktop/object_detection:object_detection_tensorflow
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#object detection TFLite
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RUN bazel build -c opt \
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--define MEDIAPIPE_DISABLE_GPU=1 \
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mediapipe/examples/desktop/object_detection:object_detection_tflite
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#media sequence
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RUN bazel build -c opt \
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--define MEDIAPIPE_DISABLE_GPU=1 \
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mediapipe/examples/desktop/media_sequence:media_sequence_demo
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#autoflip
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RUN bazel build -c opt \
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--define MEDIAPIPE_DISABLE_GPU=1 \
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mediapipe/examples/desktop/autoflip:run_autoflip
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#yt8m
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RUN mkdir -p /tmp/mediapipe
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WORKDIR /tmp/mediapipe
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RUN curl -O http://data.yt8m.org/pca_matrix_data/inception3_mean_matrix_data.pb
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RUN curl -O http://data.yt8m.org/pca_matrix_data/inception3_projection_matrix_data.pb
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RUN curl -O http://data.yt8m.org/pca_matrix_data/vggish_mean_matrix_data.pb
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RUN curl -O http://data.yt8m.org/pca_matrix_data/vggish_projection_matrix_data.pb
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RUN curl -O http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz
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RUN tar -xzf inception-2015-12-05.tgz
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RUN curl -O http://data.yt8m.org/models/baseline/saved_model.tar.gz
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RUN tar -xf saved_model.tar.gz
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WORKDIR /mediapipe
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RUN bazel build -c opt \
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--define MEDIAPIPE_DISABLE_GPU=1 \
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--linkopt=-s \
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--define no_aws_support=true \
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mediapipe/examples/desktop/youtube8m:extract_yt8m_features
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RUN bazel build -c opt \
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--define='MEDIAPIPE_DISABLE_GPU=1' \
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--linkopt=-s \
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mediapipe/examples/desktop/youtube8m:model_inference
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RUN bazel build -c opt \
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--define='MEDIAPIPE_DISABLE_GPU=1' \
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--linkopt=-s \
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mediapipe/examples/desktop/youtube8m:model_inference
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####
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#### RUN
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####
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#object detection TF
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RUN GLOG_logtostderr=1 bazel-bin/mediapipe/examples/desktop/object_detection/object_detection_tensorflow \
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--calculator_graph_config_file=mediapipe/graphs/object_detection/object_detection_desktop_tensorflow_graph.pbtxt \
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--input_side_packets=input_video_path=mediapipe/examples/desktop/object_detection/test_video.mp4,output_video_path=/tmp/output-tensorflow.mp4
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#object detection TFLite
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RUN GLOG_logtostderr=1 bazel-bin/mediapipe/examples/desktop/object_detection/object_detection_tflite \
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--calculator_graph_config_file=mediapipe/graphs/object_detection/object_detection_desktop_tflite_graph.pbtxt \
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--input_side_packets=input_video_path=mediapipe/examples/desktop/object_detection/test_video.mp4,output_video_path=/tmp/output-tflite.mp4
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#media sequence
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#TODO add python
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RUN python -m mediapipe.examples.desktop.media_sequence.demo_dataset \
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--path_to_demo_data=/tmp/demo_data/ \
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--path_to_mediapipe_binary=bazel-bin/mediapipe/examples/desktop/media_sequence/media_sequence_demo \
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--path_to_graph_directory=mediapipe/graphs/media_sequence/
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RUN PYTHONPATH=$PYTHONPATH:/mediapipe python ./mediapipe/examples/desktop/media_sequence/read_demo_dataset.py
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#autoflip
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RUN GLOG_logtostderr=1 bazel-bin/mediapipe/examples/desktop/autoflip/run_autoflip \
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--calculator_graph_config_file=mediapipe/examples/desktop/autoflip/autoflip_graph.pbtxt \
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--input_side_packets=input_video_path=mediapipe/examples/desktop/object_detection/test_video.mp4,output_video_path=/tmp/output-autoflip.mp4,aspect_ratio=1:1
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#yt8m
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RUN python3 -m mediapipe.examples.desktop.youtube8m.generate_vggish_frozen_graph
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RUN python3 -m mediapipe.examples.desktop.youtube8m.generate_input_sequence_example \
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--path_to_input_video=/mediapipe/BBB.mp4 \
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--clip_end_time_sec=120
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RUN GLOG_logtostderr=1 bazel-bin/mediapipe/examples/desktop/youtube8m/extract_yt8m_features \
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--calculator_graph_config_file=mediapipe/graphs/youtube8m/feature_extraction.pbtxt \
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--input_side_packets=input_sequence_example=/tmp/mediapipe/metadata.pb \
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--output_side_packets=output_sequence_example=/tmp/mediapipe/features.pb
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# If we want the docker image to contain the pre-built object_detection_offline_demo binary, do the following
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# RUN bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/demo:object_detection_tensorflow_demo
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