worldveil/dejavu 源码下载与部署教程

项目概述

Audio fingerprinting and recognition in Python

项目地址

https://github.com/worldveil/dejavu

项目页面预览

worldveil/dejavu preview

关键指标

  • Stars:6711
  • 主要语言:Python
  • License:MIT License
  • 最近更新:2024-04-22T19:23:00Z
  • 默认分支:master

本站高速下载(国内可用)

点击下载(本站镜像)
– SHA256:07f410983363a14a1a73e56c5fa4d237ca6a2a2a7a0b5b8242d51ec346a1f877

安装部署要点(README 精选)

Quickstart with Docker

First, install Docker.

# build and then run our containers
$ docker-compose build
$ docker-compose up -d

# get a shell inside the container
$ docker-compose run python /bin/bash
Starting dejavu_db_1 ... done
root@f9ea95ce5cea:/code# python example_docker_postgres.py 
Fingerprinting channel 1/2 for test/woodward_43s.wav
Fingerprinting channel 1/2 for test/sean_secs.wav
...

# connect to the database and poke around
root@f9ea95ce5cea:/code# psql -h db -U postgres dejavu
Password for user postgres:  # type "password", as specified in the docker-compose.yml !
psql (11.7 (Debian 11.7-0+deb10u1), server 10.7)
Type "help" for help.

dejavu=# \dt
            List of relations
 Schema |     Name     | Type  |  Owner   
--------+--------------+-------+----------
 public | fingerprints | table | postgres
 public | songs        | table | postgres
(2 rows)

dejavu=# select * from fingerprints limit 5;
          hash          | song_id | offset |        date_created        |       date_modified        
------------------------+---------+--------+----------------------------+----------------------------
 \x71ffcb900d06fe642a18 |       1 |    137 | 2020-06-03 05:14:19.400153 | 2020-06-03 05:14:19.400153
 \xf731d792977330e6cc9f |       1 |    148 | 2020-06-03 05:14:19.400153 | 2020-06-03 05:14:19.400153
 \x71ff24aaeeb55d7b60c4 |       1 |    146 | 2020-06-03 05:14:19.400153 | 2020-06-03 05:14:19.400153
 \x29349c79b317d45a45a8 |       1 |    101 | 2020-06-03 05:14:19.400153 | 2020-06-03 05:14:19.400153
 \x5a052144e67d2248ccf4 |       1 |    123 | 2020-06-03 05:14:19.400153 | 2020-06-03 05:14:19.400153
(10 rows)

# then to shut it all down...
$ docker-compose down

If you want to be able to use the microphone with the Docker container, you’ll need to do a little extra work. I haven’t had the time to write this up, but if anyone wants to make a PR, I’ll happily merge.

Docker alternative on local machine

Follow instructions in INSTALLATION.md

Next, you’ll need to create a MySQL database where Dejavu can store fingerprints. For example, on your local setup:

$ mysql -u root -p
Enter password: **********
mysql> CREATE DATABASE IF NOT EXISTS dejavu;

Now you’re ready to start fingerprinting your audio collection!

You may also use Postgres, of course. The same method applies.

Configuration options

The configuration object to the Dejavu constructor must be a dictionary.

The following keys are mandatory:

  • database, with a value as a dictionary with keys that the database you are using will accept. For example with MySQL, the keys must can be anything that the MySQLdb.connect() function will accept.

The following keys are optional:

  • fingerprint_limit: allows you to control how many seconds of each audio file to fingerprint. Leaving out this key, or alternatively using -1 and None will cause Dejavu to fingerprint the entire audio file. Default value is None.
  • database_type: mysql (the default value) and postgres are supported. If you’d like to add another subclass for BaseDatabase and implement a new type of database, please fork and send a pull request!

An example configuration is as follows:

>>> from dejavu import Dejavu
>>> config = {
...     "database": {
...         "host": "127.0.0.1",
...         "user": "root",
...         "password": "Password123", 
...         "database": "dejavu_db",
...     },
...     "database_type" : "mysql",
...     "fingerprint_limit" : 10
... }
>>> djv = Dejavu(config)

常用命令(从 README 提取)

# build and then run our containers
$ docker-compose build
$ docker-compose up -d

# get a shell inside the container
$ docker-compose run python /bin/bash
Starting dejavu_db_1 ... done
root@f9ea95ce5cea:/code# python example_docker_postgres.py 
Fingerprinting channel 1/2 for test/woodward_43s.wav
Fingerprinting channel 1/2 for test/sean_secs.wav
...

# connect to the database and poke around
root@f9ea95ce5cea:/code# psql -h db -U postgres dejavu
Password for user postgres:  # type "password", as specified in the docker-compose.yml !
psql (11.7 (Debian 11.7-0+deb10u1), server 10.7)
Type "help" for help.

dejavu=# \dt
            List of relations
 Schema |     Name     | Type  |  Owner   
--------+--------------+-------+----------
 public | fingerprints | table | postgres
 public | songs        | table | postgres
(2 rows)

dejavu=# select * from fingerprints limit 5;
          hash          | song_id | offset |        date_created        |       date_modified        
------------------------+---------+--------+----------------------------+----------------------------
 \x71ffcb900d06fe642a18 |       1 |    137 | 2020-06-03 05:14:19.400153 | 2020-06-03 05:14:19.400153
 \xf731d792977330e6cc9f |       1 |    148 | 2020-06-03 05:14:19.400153 | 2020-06-03 05:14:19.400153
 \x71ff24aaeeb55d7b60c4 |       1 |    146 | 2020-06-03 05:14:19.400153 | 2020-06-03 05:14:19.400153
 \x29349c79b317d45a45a8 |       1 |    101 | 2020-06-03 05:14:19.400153 | 2020-06-03 05:14:19.400153
 \x5a052144e67d2248ccf4 |       1 |    123 | 2020-06-03 05:14:19.400153 | 2020-06-03 05:14:19.400153
(10 rows)

# then to shut it all down...
$ docker-compose down

$ python dejavu.py --recognize file sometrack.wav 
{'total_time': 2.863781690597534, 'fingerprint_time': 2.4306554794311523, 'query_time': 0.4067542552947998, 'align_time': 0.007731199264526367, 'results': [{'song_id': 1, 'song_name': 'Taylor Swift - Shake It Off', 'input_total_hashes': 76168, 'fingerprinted_hashes_in_db': 4919, 'hashes_matched_in_input': 794, 'input_confidence': 0.01, 'fingerprinted_confidence': 0.16, 'offset': -924, 'offset_seconds': -30.00018, 'file_sha1': b'3DC269DF7B8DB9B30D2604DA80783155912593E8'}, {...}, ...]}

$ python dejavu.py --recognize mic 10

通用部署说明

  1. 下载源码并阅读 README
  2. 安装依赖(pip/npm/yarn 等)
  3. 配置环境变量(API Key、模型路径、数据库等)
  4. 启动服务并测试访问
  5. 上线建议:Nginx 反代 + HTTPS + 进程守护(systemd / pm2)

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本文仅做开源项目整理与教程索引,源码版权归原作者所有,请遵循对应 License 合规使用。

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