Amazon Comprehend might be a bit more popular than gstreamer. We know about 19 links to it since March 2021 and only 14 links to gstreamer. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you're a fan of the open source multimedia framework GStreamer, you can take advantage of WHIP support as well. Here's a simple pipeline that could be used to publish a webcam and microphone to a stage. This pipeline is specific to MacOS, but can be adapted to any supported OS. Make sure to obtain and set a participant token into IVS_STAGE_TOKEN (or include a raw token instead). - Source: dev.to / 3 months ago
You could also set up a GStreamer pipeline or maybe even use VLC, instead of Motion. Source: 7 months ago
A long time ago when I was looking for a low latency solution for streaming _from_ the Pi (should also have a similar performance in the other direction), gstreamer[1] was the only usable option. [1] https://gstreamer.freedesktop.org/. - Source: Hacker News / about 1 year ago
I get errors when esp32-cam (rtsp://url:8554/mjpep/1) streams via wifi to GStreamer on Nvidia jetson nano (my current use case). Has anyone encountered this problem and how did you resolve this? Source: over 1 year ago
[gstreamer](https://gstreamer.freedesktop.org/) is also very mature media processing and integration solution with [excellent rust support](https://lib.rs/crates/gstreamer). Source: over 1 year ago
Would you like additional capabilities like connecting to Machine Learning, Dashboards and Quicksight and leveraging other tools like Comprehend. - Source: dev.to / 10 months ago
Once again, I asked ChatGPT to perform this analysis. I could have used some of the AI tools provided by AWS, like the detectSentiment API from Amazon Comprehend, but tools like ChatGPT make it so easy to just add a simple "also, tell me in one word what the sentiment is" clause to a query I'm asking. - Source: dev.to / 12 months ago
And now we can run amplify push to create the resources in AWS. The AWS service that will be used for this functionality is Amazon Comprehend. The pricing for this service can be found here. - Source: dev.to / about 1 year ago
Amazon has developed its own NLP service called Amazon Comprehend, which is designed to extract insights and relationships from unstructured text data. Source: about 1 year ago
First, can you use a different AWS service, such as Comprehend or SageMaker? You only "pay for what you use" instead of paying for an idle server. This is especially helpful for a start up, since you don't pay a lot if you don't have a lot of customers.. Source: about 1 year ago
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