streaming | 视频转码、切分，生成HTTP Live Streaming点播视频流批处理脚本 | Computer Vision library
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kandi X-RAY | streaming Summary
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streaming Key Features
streaming Examples and Code Snippets
Lines of Code : 40
License : No License
Copyrequest('http://google.com/doodle.png').pipe(fs.createWriteStream('doodle.png'))
fs.createReadStream('file.json').pipe(request.put('http://mysite.com/obj.json'))
request.get('http://google.com/img.png').pipe(request.put('http://mysite.com/img.png var query = connection.query('SELECT * FROM posts');
query
.on('error', function(err) {
// Handle error, an 'end' event will be emitted after this as well
})
.on('fields', function(fields) {
// the field packets for the rows to follow
import talib
from talib import stream
close = np.random.random(100)
# the Function API
output = talib.SMA(close)
# the Streaming API
latest = stream.SMA(close)
# the latest value is the same as the last output value
assert (output[-1] - latest) & def StreamingFilesDataset(
files: Union[Text, dataset_ops.Dataset],
filetype: Optional[Union[Text, Callable[[Text],
dataset_ops.Dataset]]] = None,
file_reader_job: Optional[Text] = None,
wor @Override
protected void channelRead0(ChannelHandlerContext ctx, FullHttpResponse msg) throws Exception {
Integer streamId = msg.headers()
.getInt(HttpConversionUtil.ExtensionHeaderNames.STREAM_ID.text());
if (streamId public void serverSideStreamingListOfStockPrices() {
logger.info("######START EXAMPLE######: ServerSideStreaming - list of Stock prices from a given stock");
Stock request = Stock.newBuilder()
.setTickerSymbol("AU")
Community Discussions
Trending Discussions on streaming
QUESTION
Im trying to reproduce pretty simple snippet from https://laravel.com/docs/8.x/eloquent#streaming-results-lazily
...ANSWER
Answered 2021-Jun-15 at 18:29I think lazy() method added in laravel version v8.34.0.Even if you are using Laravel 8 then make sure it should be at least version v8.34.0
As per Laravel Framework release note.
QUESTION
I am working on a Instagram face filter/effect with SparkAR. It is successfully uploaded, approved and works just fine when across many devices when I try the effect in the Instagram app. I can select the effect when creating a Story however – I cannot when doing a Live stream. The effect symbol doesn’t show up nor can I select it when searching for the effect, while all the other effects are still there.
One user reported that she was able to select the effect during Live on her Android device. But at least on iOS devices it seems to be impossible to find or select the effect.
Are there any differences between Live and Non-Live effects? Or between iOS and Android effects? Has anyone had the same problem before? How can I make sure that my effect is available for Live streaming?
Thank you for any hints!
...ANSWER
Answered 2021-Jun-15 at 08:37Turns out, that the use of audio inside the filter caused it to not appear in Live mode. I removed all audio files and playback controllers and enabled the microphone. It now works.
QUESTION
We are using stream ingestion from Event Hubs to Azure Data Explorer. The Documentation states the following:
The streaming ingestion operation completes in under 10 seconds, and your data is immediately available for query after completion.
I am also aware of the limitations such as
Streaming ingestion performance and capacity scales with increased VM and cluster sizes. The number of concurrent ingestion requests is limited to six per core. For example, for 16 core SKUs, such as D14 and L16, the maximal supported load is 96 concurrent ingestion requests. For two core SKUs, such as D11, the maximal supported load is 12 concurrent ingestion requests.
But we are currently experiencing ingestion latency of 5 minutes (as shown on the Azure Metrics) and see that data is actually available for quering 10 minutes after ingestion.
Our Dev Environment is the cheapest SKU Dev(No SLA)_Standard_D11_v2 but given that we only ingest ~5000 Events per day (per metric "Events Received") in this environment this latency is very high and not usable in the streaming scenario where we need to have the data available < 1 minute for queries.
Is this the latency we have to expect from the Dev Environment or are the any tweaks we can apply in order to achieve lower latency also in those environments? How will latency behave with a production environment loke Standard_D12_v2? Do we have to expect those high numbers there as well or is there a fundamental difference in behavior between Dev/test and Production Environments in this concern?
...ANSWER
Answered 2021-Jun-15 at 08:34Did you follow the two steps needed to enable the streaming ingestion for the specific table, i.e. enabling streaming ingestion on the cluster and on the table?
In general, this is not expected, the Dev/Test cluster should exhibit the same behavior as the production cluster with the expected limitations around the size and scale of the operations, if you test it with a few events and see the same latency it means that something is wrong.
If you did follow these steps, and it still does not work please open a support ticket.
QUESTION
I followed the instructions at Structured Streaming + Kafka and built a program that receives data streams sent from kafka as input, when I receive the data stream I want to pass it to SparkSession variable to do some query work with Spark SQL, so I extend the ForeachWriter class again as follows:
...ANSWER
Answered 2021-Jun-15 at 04:42do some query work with Spark SQL
You wouldn't use a ForEachWriter for that
QUESTION
My bot is not responding to any commands except for the .purge command.
Here is my code.
ANSWER
Answered 2021-Jun-15 at 02:21You used the message parameter instead of command. Instead of message === 'xxx' put command === 'xxx'. Simple mistake, I think that was what you meant anyways. Of course the purge command worked because you put command === 'purge' there
QUESTION
I have a Python Apache Beam streaming pipeline running in Dataflow. It's reading from PubSub and writing to GCS. Sometimes I get errors like "Error in _start_upload while inserting file ...", which comes from:
...ANSWER
Answered 2021-Jun-14 at 18:49In a streaming pipeline, Dataflow retries work items running into errors indefinitely.
The code itself does not need to have retry logic.
QUESTION
I have master-slave (primary-standby) streaming replication set up on 2 physical nodes. Although the replication is working correctly and walsender and walreceiver both work fine, the files in the pg_wal folder on the slave node are not getting removed. This is a problem I have been facing every time I try to bring the slave node back after a crash. Here are the details of the problem:
postgresql.conf on master and slave/standby node
...ANSWER
Answered 2021-Jun-14 at 15:00You didn't describe omitting pg_replslot during your rsync, as the docs recommend. If you didn't omit it, then now your replica has a replication slot which is a clone of the one on the master. But if nothing ever connects to that slot on the replica and advances the cutoff, then the WAL never gets released to recycling. To fix you just need to shutdown the replica, remove that directory, restart it, (and wait for the next restart point to finish).
Do they need to go to wal_archive folder on the disk just like they go to wal_archive folder on the master node?
No, that is optional not necessary. It is set by archive_mode = always if you want it to happen.
QUESTION
I'm new to Flutter and I have a question regarding a small project of mine.
I'm trying to show an image I'm receiving through a socket. I have an Uint8List representing the image matrix (not encoded in any way), and I have succeded transforming it into an Image widget with the following code:
...ANSWER
Answered 2021-Jun-07 at 13:57The image widget has few constructors and one of them is memory.
Check Image.memory(bytes) factory constructor.
https://api.flutter.dev/flutter/widgets/Image/Image.memory.html
QUESTION
I found an example in FLASK to transmit a video camera through the rtsp protocol in the web browser.
I tried to use this same example in the fastapi, but I'm not getting it. The image is frozen.
Example in Flask (Works normally):
...ANSWER
Answered 2021-Jan-30 at 18:09After posting here, I figured out how to fix it.
In the video_feed function, in the media_type parameter, it was just to put it in the same way as in the flask:
QUESTION
I am working with nom version 6.1.2 and I am trying to parse Strings like
A 2 1 2.
At the moment I would be happy to at least differentiate between input that fits the requirements and inputs which don't do that. (After that I would like to change the output to a tuple that has the "A" as first value and as second value a vector of the u16 numbers.)
The String always has to start with a capital A and after that there should be at least one space and after that one a number. Furthermore, there can be as much additional spaces and numbers as you want. It is just important to end with a number and not with a space. All numbers will be within the range of u16. I already wrote the following function:
...ANSWER
Answered 2021-Jun-11 at 19:17It seems like that one part of the use declarations created that problem. In the documentation (somewhere in some paragraph way to low that I looked at it) it says: " Streaming / Complete Some of nom's modules have streaming or complete submodules. They hold different variants of the same combinators.
A streaming parser assumes that we might not have all of the input data. This can happen with some network protocol or large file parsers, where the input buffer can be full and need to be resized or refilled.
A complete parser assumes that we already have all of the input data. This will be the common case with small files that can be read entirely to memory. "
Therefore, the solution to my problem is to swap use nom::character::complete::{char, space1}; instead of nom::character::streaming::{char, space1}; (3rd loc without counting empty lines). That worked for me :)
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