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1. github.com › JeffreyCAJeffreyCA (Jeffrey) - GitHub

   github.com › JeffreyCA

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   JeffreyCA has 45 repositories available. Follow their code on GitHub. Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.

   • 原籍國: Seattle, WA

   • 任職公司: @Microsoft

2. github.com › JeffreyCA › spleeter-webJeffreyCA/spleeter-web - GitHub

   github.com › JeffreyCA › spleeter-web

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   • Overview
   • Table of Contents
   • Features
   • Getting started with Docker
   • Getting started without Docker
   • Configuration
   • Using cloud storage (Azure Storage, AWS S3, etc.)
   • Deployment
   • HTTPS support

   Spleeter Web is a web application for isolating or removing the vocal, accompaniment, bass, and/or drum components of any song. For example, you can use it to isolate the vocals of a track, or you can use it remove the vocals to get an instrumental version of a song.

   It supports a number of different source separation models: Spleeter (4stems-model and 5stems-model), Demucs, CrossNet-Open-Unmix, and D3Net.

   在「github.com」查看更多資訊

   Features

   Demo site

   Getting started with Docker

   Getting started without Docker

   Configuration

   Django settings

   Environment variables

   Using cloud storage

   Deployment

   Common issues & FAQs

   Credits

   License

   在「github.com」查看更多資訊

   •Supports Spleeter, Demucs, CrossNet-Open-Unmix (X-UMX), and D3Net source separation models

   •Each model supports a different set of user-configurable parameters in the UI

   •Dynamic Mixes let you export and play back in realtime your own custom mix of the different components

   •Import tracks by uploading an audio file or by a YouTube link

   •Built-in YouTube search functionality (YouTube Data API key required)

   •Supports lossy (MP3) and lossless (FLAC, WAV) output formats

   在「github.com」查看更多資訊

   Requirements

   •4 GB+ of memory (source separation is memory-intensive) •Docker and Docker Compose

   Instructions

   1.Clone repo: 2.(Optional) Set the YouTube Data API key (for YouTube search functionality): You can skip this step, but you would not be able to import songs by searching with a query. You would still be able to import songs via YouTube links though. Create an .env file at the project root with the following contents: 3.(Optional) Setup for GPU support: Source separation can be accelerated with a GPU (however only NVIDIA GPUs are supported). 4.Install NVIDIA drivers for your GPU. 5.Install the NVIDIA Container Toolkit. If on Windows, refer to this. 6.Verify Docker works with your GPU by running sudo docker run --rm --gpus all nvidia/cuda:11.6.2-base-ubuntu20.04 nvidia-smi 1.Download and run prebuilt Docker images: Alternatively, you can build the Docker images from source: 2.Launch Spleeter Web Navigate to http://127.0.0.1:80 in your browser. Uploaded tracks and generated mixes will appear in media/uploads and media/separate respectively on your host machine.

   在「github.com」查看更多資訊

   Requirements

   •x86-64 arch (For AArch64 systems, use Docker) •4 GB+ of memory (source separation is memory-intensive) •Python 3.8+ (link) •Node.js 16+ (link) •Redis (link) •ffmpeg and ffprobe (link) •On macOS, you can install it using Homebrew or MacPorts •On Windows, you can follow this guide

   Instructions

   1.Set environment variables Make sure these variables are set in every terminal session prior to running the commands below. 2.Create Python virtual environment 3.Install Python dependencies 4.Install Node dependencies 5.Ensure Redis server is running on localhost:6379 (needed for Celery) You can run it on a different host or port, but make sure to update CELERY_BROKER_URL and CELERY_RESULT_BACKEND in settings.py. It must be follow the format: redis://host:port/db. 6.Apply migrations 7.Build frontend 8.Start backend in separate terminal 9.Start Celery workers in separate terminal Unix/macOS: This launches two Celery workers: one processes fast tasks like YouTube imports and the other processes slow tasks like source separation. The one working on fast tasks can work on 3 tasks concurrently, while the one working on slow tasks only handles a single task at a time (since it's memory-intensive). Feel free to adjust these values to your fitting. Windows: You'll first need to install gevent. Note however that you will not be able to abort in-progress tasks if using Celery on Windows. 10.Launch Spleeter Web Navigate to http://127.0.0.1:8000 in your browser. Uploaded and mixed tracks will appear in media/uploads and media/separate respectively.

   在「github.com」查看更多資訊

   Django settings Environment variables

   Here is a list of all the environment variables you can use to further customize Spleeter Web:

   在「github.com」查看更多資訊

   By default, Spleeter Web uses the local filesystem to store uploaded files and mixes. It uses django-storages, so you can also configure it to use other storage backends like Azure Storage or AWS S3.

   You can set the environment variable DEFAULT_FILE_STORAGE (.env if using Docker) to either FILE (for local storage), AWS (S3 storage), or AZURE (Azure Storage).

   Then, depending on which backend you're using, set these additional variables:

   AWS S3:

   •AWS_ACCESS_KEY_ID

   •AWS_SECRET_ACCESS_KEY

   在「github.com」查看更多資訊

   Spleeter Web can be deployed on a VPS or a cloud server such as Azure VMs, AWS EC2, DigitalOcean, etc. Deploying to cloud container services like ECS is not yet supported out of the box.

   1.Clone this git repo

   2.(Optional) If self-hosting, update docker-compose.prod.selfhost.yml and replace ./media with the path where media files should be stored on the server.

   3.In spleeter-web, create an .env file with the production environment variables

   Example .env file:

   See Environment Variables for all the available variables. You can also set these directly in the docker-compose.*.yml files.

   在「github.com」查看更多資訊

   Enabling HTTPS allows you to export Dynamic Mixes from your browser. To enable HTTPS, set both CERTBOT_DOMAIN and CERTBOT_EMAIL to your domain name and CERTBOT_EMAIL to your email in .env and include -f docker-compose.https.yml in your docker-compose up command.

   在「github.com」查看更多資訊

3. github.com › JeffreyCA › Apollo-ImprovedCustomApiReleases · JeffreyCA/Apollo-ImprovedCustomApi - GitHub

   github.com › JeffreyCA › Apollo-ImprovedCustomApi

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   Use your own Reddit and Imgur API credentials in Apollo - JeffreyCA/Apollo-ImprovedCustomApi

4. www.threads.net › @jeffreyca › post好cute!!!!!! 即刻bookmark 定！

   www.threads.net › @jeffreyca › post

   2024年8月1日 · 好cute!!!!!! 即刻bookmark 定！. sallywohoho. August 1, 2024 at 8:43 AM. 襯可能而家有人會睇，想講下. 我早排去左露營車 遇到呢隻狗狗⋯ 佢俾人遺棄咗七次！. 足足七次！. 原因係太黐身太鍾意玩，同埋有分離症候群😞 好彩個露營車嘅車主收養左佢詐😭 做店狗好多人摸佢 ...

5. www.threads.net › @jeffreycaErica (@jeffreyca) on Threads

   www.threads.net › @jeffreyca

   2024年9月19日 · 身為奴才 第一條thread就係要post下自己隻狗狗 😚😚😚 自己隻狗最可愛 🐾. 20. Log in to see more from jeffreyca. Muji 🐾 Liverpool FC ⭕️ YNWA 頑張跑會🏃🏻‍♀️🏃🏻‍♂️ Life is better with Kolor 🫶🏻 ——————————————— 🟨🟨🟨🟨 ⬛️⬛️⬛ ...

6. jeffreyca.me › galleryGallery

   jeffreyca.me › gallery

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   Welcome to my Gallery! Here you can find digital media works that I created, featuring some 3D print models and images I put together for FINE 130 (categorized by course module), a digital imaging course that I took in Spring 2017. Click through the tabs above to

7. jeffreyca.me › projectsProjects

   jeffreyca.me › projects

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   Jeffrey Chen (JeffreyCA) jeffreyca16@gmail.com homeHome workProjects Showcasepanoramaarrow_drop_down infoAbout Projects Spleeter Web A Dockerized web application that lets users isolate the vocal, accompaniment, bass, and/or drum components of ...