) # opencv_linux.BUILD for OpenCV 4 installed from Debian package This site uses Just the Docs, a documentation theme for Jekyll. YouTube-8M Feature Extraction and Model Inference.AutoFlip (Saliency-aware Video Cropping).KNIFT (Template-based Feature Matching).My question is: How can I package this conda archive so that librosa (really audioread) is able to find the backend and load. zip #NODE \ - jars / data / environments / sqljdbc41. driver - memory 20G - archives conda_env. num - executors 20 - executor - cores 5 - executor - memory 40G \ master yarn - deploy - mode cluster - queue production \
PYSPARK_PYTHON =./ NODE / conda_env / bin / python \ ` PYSPARK_PYTHON =./ NODE / conda_env / bin / python spark - submit - verbose \ Submitting a script to the cluster results in a librosa.load error which traces back to audioreadindicating the backend (either gstreamer or ffmpeg) can no longer be found in the zipped archive environment. Note without the environment sourced this script results in an error as ffmpeg/gstreamer are NOT installed on my locally. Then sourcing conda_env and running pyspark shell I can successfully execute: Numpy scipy ffmpeg gcc libsndfile gstreamer pygobject audioread librosa ` ` zip - r conda_env. ` conda / bin / conda create - p conda_env - copy - y python = 2 \ I have previously build pyspark environments using conda to package all dependancies and ship them to all the nodes at runtime. Crossposting from SO for more visibility, seems like audioread problems have been encountered often by librosa users fairly often:
0 kommentar(er)
