GLSL to SPIR-V compiler and vulkaninfo tool. Preferably from your distribution repositories. Alternatively download and install full Vulkan SDK (about 200MB in size; it contains all header files, documentation and prebuilt loader, as well some extra tools and source code of everything) fromhttps:...
Solve error: legacy-install-failure For Dlib You can also get an error while installing the ‘dlib’ library through pip. To solve this error, try to install the library from scratch by following the steps. First, install ‘anaconda.’ Further activate the virtual environment through a command...
if your OS version is more recent than OS X Lion 10.7. Homebrew basically just runs a Ruby script after downloading it from GitHub; you’ll note in the screenshot below that Homebrew usescurlfor the download, notwget, for reasons I discussed earlier. ...
Install dlib, because DFDNet uses dlib to do face recognition and landmark detection. Installation reference. Clone dlib repo: git clone git@github.com:davisking/dlib.git cd dlib Install: python setup.py install Download the dlib pretrained models from ModelZoo (Google Drive, 百度网盘) to the...
DlibDownload the pre-trained model from here. Unzip the file and put it in the same folder as the Python script. Create the Dlib face detector: import dlib detector = dlib.get_frontal_face_detector() predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat") Detect the ...
!pip install gdown scikit-learn==0.22scipy lpips dlib opencv-python-headless tensorflow !wget https://github.com/ninja-build/ninja/releases/download/v1.8.2/ninja-linux.zip !unzip ninja-linux.zip -d /usr/local/bin/ !update-alternatives --install /usr/bin/ninja ninja /usr/local/bin/ninja1-...
That all changed in 2019’s Google Summer of Code (GSoC). Led by dlib’sDavis King, and implemented byYashas Samaga,OpenCV 4.2 now supports NVIDIA GPUs for inference using OpenCV’sdnnmodule, improving inference speedby up to 1549%!
Or if I want to use dlib to extract 68 landmarks for each tensor I need to change their code. In their code they clearly said it supports either list or array as input. There’s no other way to get around this? Reply Jason Brownlee September 12, 2019 at 5:12 am # No, I ...
With the super fast EC2 connection, I was able to download the entire 1.1GB file in less than 30 seconds: Figure 1:Downloading the CUDA Toolkit from NVIDIA’s official website. Next, we need to make the.runfile executable: $ chmod +x cuda_7.5.18_linux.run ...
Burn the Ubuntu OS to the SD card of Rasberry Ubuntu MATE16.04.2 (Xenial)(http://ubuntu-mate.org/download/) $sudo-s $wgethttps://ubuntu-mate.org/raspberry-pi/ubuntu-mate-16.04.2-desktop-armhf-raspberry-pi.img.xz$ unxz ubuntu-mate-16.04.2-desktop-armhf-raspberry-pi.img.xz ...