HMC Media Server is designed to solve a very fundamental problem most of us are facing.
How do I organize my own media files using a software that offers similiar features as these provided by the cloud based services?
We keep our media files created using various devices and upload some of them to the cloud based services usch as Flickr, Google Photos, Facebook or Amazon Prime Photo. The media files are usually locked away stored in the storage devices that rarely get accessed.
HMC Media Server will unlock these media files (photos, audios and videos) so that you can enjoy the media files inside you home with high speed network. The application also supports Apple TV and Chromecast that you can stream your media files to your big screens.
HMC Media Server is a Java based web application to help manage your media libraries.
- HMC Media Server for Unix/Linux/OSX: hmc-1.3.0-BETA1.tar.gz
- HMC Media Server for Windows: hmc-1.3.0-BETA1.zip
- FaceNet Plug-in (Linux/OSX): tf_serving-1.0.0-BETA1.tar.gz). This package has been tested under Ubuntu 16.04, Ubuntu 14.04, CentOS 7 and Mac/OSX. The Windows platform is not supported natively. Alternatively, you can install the FaceNet Plug-in as a remote service hosted by a supported OS natively or as a VM.
The native software dependencies for Windows (64bit) are included as part of the software distributions. FFmpeg is an optional software dependency that allows HMC Media Server to transcode video clips into streaming friendly x264 format using web browsers.
- Download the 64bit static linked FFmpeg from the link below:
http://ffmpeg.zeranoe.com/builds/win64/static/ffmpeg-3.3.2-win64-static.zip
- Open the package and copy ffmpeg.exe to the bin/windows_x86_64 sub-directory.
- Install HomeBrew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
- Use brew to install software dependencies
brew cask install java
brew install ImageMagick
brew install dcraw
brew install ffmpeg
brew install exiftool
brew install jhead
- Verify the dependencies are installed correctly
which java
which convert
which ffmpeg
which jpegtran
which exiftool
which dcraw
which jhead
- Use apt-get to install software dependencies
sudo apt-get install openjdk-8-jdk sudo apt-get install imagemagick sudo apt-get install ffmpeg sudo apt-get install libjpeg-progs sudo apt-get install dcraw sudo apt-get install libimage-exiftool-perl sudo apt-get install jhead
- Verify the dependencies are installed correctly
which java
which convert
which ffmpeg
which jpegtran
which exiftool
which dcraw
which jhead
- Use apt-get to install software dependencies
sudo apt-get install openjdk-8-jdk sudo apt-get install imagemagick sudo apt-get install libjpeg-progs sudo apt-get install dcraw sudo apt-get install libimage-exiftool-perl sudo apt-get install jhead sudo apt-get install libav-tools
- Create a symbolic link from avconv to ffmpeg
sudo ln -s /usr/bin/avconv /usr/bin/ffmpeg
- Verify the dependencies are installed correctly
which java
which convert
which ffmpeg
which jpegtran
which exiftool
which dcraw
which jhead
- Use yum to install software dependencies
sudo yum install java-1.8.0-openjdk
sudo yum install ImageMagick
sudo yum install libjpeg*
sudo yum install dcraw
sudo yum install perl-Image-ExifTool
sudo yum install jhead
- Verify the dependencies are installed correctly
which java
which convert
which ffmpeg
which jpegtran
which exiftool
which dcraw
which jhead
- Install libjpeg.so.8
wget https://github.com/maciej-c/libjpeg8x64/raw/master/libjpeg8-x64.tar.gz
sudo tar xzf libjpeg8-x64.tar.gz -C /usr/lib64
-
Install FFmpeg (Optional) Please refer to How to Install FFmpeg on CentOS detail instructions.
- Update the system
sudo yum install epel-release -y
sudo yum update -y
sudo shutdown -r now- Install the Nux Dextop YUM repo
sudo rpm --import http://li.nux.ro/download/nux/RPM-GPG-KEY-nux.ro
sudo rpm -Uvh http://li.nux.ro/download/nux/dextop/el7/x86_64/nux-dextop-release-0-5.el7.nux.noarch.rpm- Install FFmpeg and FFmpeg development packages
sudo yum install ffmpeg ffmpeg-devel -y
-
Download FaceNet Plug-in (Linux/OSX): tf_serving-1.0.0-BETA1.tar.gz.
-
Unpack tf_serving-1.0.0-BETA1.tar.gz to the target directory. For example /opt/tf_serving
-
Start FaceNet service
cd /opt/tf_serving ./run_facenet.sh
This is a pre-trained inception resnet_v1 TensorFlow model based on the face recognizer as described in the paper. This model can be used to generate face embedding for face recognition and clustering.
FaceNet: A Unified Embedding for Face Recognition and Clustering
This model is trained using the open source TensorFlow implementation of the paper. This model is validated using the LFW dataset and the best result is provided below.
| Report Link | Accuracy | Validation Rate | AUC | EER |
|---|---|---|---|---|
| [LFW Validation Report][lfw_report_01] | 0.9968+-0.0027 | 0.99333+-0.00667 @ FAR=0.00100 | 0.9997 | 0.0039 |
Download link for the pre-trained model: facenet_213250_20170620.pb
This FaceNet Model is trained with MS-Celeb-1M dataset and is for Non-Commercial Use Only according to the Microsoft Research License Agreement.
- Open a console and change to the hmc directory where the HMC Media Server is installed. For example /opt/hmc
cd /opt/hmc
./hmc.sh
- Start FaceNet Plug-in (Optional)
cd /opt/tf_serving
./run_facenet.sh
Please refer to the HMC Media Server Quick Start Guide page for the guides on previous releases.
Updated guides to be completed...
Copyright 2015-2017 HMC Technologies LLC
Licensed under the Creative Commons Attribution-ShareAlike 3.0
Unported License (the "License"); you may not use this application except
in compliance with the License. You may obtain a copy of the License at
http://creativecommons.org/licenses/by-nc-sa/3.0/legalcode
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.