Live Channel Fingerprinting Tool
Last updated
Last updated
The Live Channel Fingerprinting Tool () 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.
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Create a “Live Channel” bucket and add the url of your streams into it.
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_client
2) Enter the operating system you use.
cd Linux/x86-64
3) Edit the client.conf file and replace the console key pairs ( access_key, access_secret ), bucket_name with your own.
python stream.py client.conf
or
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 -9
3) Restart the stream.py
python stream.py client.conf
or
nohup python stream.py client.conf &
Create a LiveTimeshift bucket, set the bucket type “LiveTimeshift”.
Enable the timeshift feature for the live channels in the Live bucket
Import the live channels to the LiveTimeshift bucket
Make sure you are in the region where you send the live fingerprinting
Click “Live channel” under the bucket
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
1) Update/add stream URL to the Live Channel Bucket on the
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