Live Channel Fingerprinting Tool
- The Live Channel Fingerprinting Tool (Download) is used for extracting and uploading features from live TV channel streams in real-time.
- After the app is integrated, our SDK can detect your channels by recording the audio for just a few seconds in real-time.
- We assume that this tool will be running on your server, which already has quick network access to the streams so that our system guarantees the Real-Time performance to detect the live channels.
- Before using this tool, you must register on our platform and log into your dashboard.
- Create a “Live Channel” bucket and add the url of your streams into it.
- Create a console access key pairs on account page and input this key pairs to your client.conf file
- Input your Live Bucket Name to the client.conf file.
- Run the stream.py
- Create a “Live Channel Detection” project and attach the bucket which contains your chosen stream urls.
- Then you can use our SDK to detect the current stream.
How to run:
1) Download the tool.
git clone https://github.com/acrcloud/live_stream_client live_stream_client2) Enter the operating system you use.
cd Linux/x86-643) Edit the client.conf file and replace the console key pairs ( access_key, access_secret ), bucket_name with your own.
python stream.py client.confor
nohup python stream.py client.conf &How to update/add stream URL:
2) Kill stream.py process in your server.
ps -ef | grep stream.py | grep -v grep | awk '{print $2}'| xargs kill -93) Restart the stream.py
python stream.py client.confor
nohup python stream.py client.conf &- 1.Create a LiveTimeshift bucket, set the bucket type “LiveTimeshift”.
- 2.Enable the timeshift feature for the live channels in the Live bucket
- 3.Import the live channels to the LiveTimeshift bucket
- 1.
- 2.Make sure you are in the region where you send the live fingerprinting
- 3.Click “Live channel” under the bucket
- 4.Click in the bucket you build for the channels and see each status of the channel
Processing: The real-time fingerprint of the stream has not yet reached the platform.
Ready: The fingerprint of the live stream is ready for detection
Last modified 1yr ago