using_vmaf.sh

# clone the project (later they'll push a docker image to dockerhub)
git clone --depth 1 https://github.com/Netflix/vmaf.git vmaf
cd vmaf
# build the image
docker build -t vmaf .
# get the pivot video (reference video)
wget http://www.sample-videos.com/video/mp4/360/big_buck_bunny_360p_5mb.mp4
# generate a new transcoded video (vp9, vcodec:500kbps)
docker run --rm -v $(PWD):/files jrottenberg/ffmpeg -i /files/big_buck_bunny_360p_5mb.mp4 -c:v libvpx-vp9 -b:v 500K -c:a libvorbis /files/big_buck_bunny_360p.webm
# extract the yuv (yuv420p) color space from them
docker run --rm -v $(PWD):/files jrottenberg/ffmpeg -i /files/big_buck_bunny_360p_5mb.mp4 -c:v rawvideo -pix_fmt yuv420p /files/360p_mpeg4-v_1000.yuv
docker run --rm -v $(PWD):/files jrottenberg/ffmpeg -i /files/big_buck_bunny_360p.webm -c:v rawvideo -pix_fmt yuv420p /files/360p_vp9_700.yuv
# checks VMAF score
docker run --rm -v $(PWD):/files vmaf run_vmaf yuv420p 640 368 /files/360p_mpeg4-v_1000.yuv /files/360p_vp9_700.yuv --out-fmt json
# and you can even check VMAF score using existent trained model
docker run --rm -v $(PWD):/files vmaf run_vmaf yuv420p 640 368 /files/360p_mpeg4-v_1000.yuv /files/360p_vp9_700.yuv --out-fmt json --model /files/resource/model/nflxall_vmafv4.pkl

I get a 403 on the wget.