pipeline

问题 In my Producer-Consumer scenario, I have multiple consumers, and each of the consumers send an action to external hardware, which may take some time. My Pipeline looks somewhat like this: BatchBlock --> TransformBlock --> BufferBlock --> (Several) ActionBlocks I have assigned BoundedCapacity of my ActionBlocks to 1. What I want in theory is, I want to trigger the Batchblock to send a group of items to the Transformblock only when one of my Actionblocks are available for operation. Till then

问题 I have read here that when you run external commands in powershell, their output is always interpreted as a string or string array: https://stackoverflow.com/a/35980675/983442 I'm trying to process binary output from an external command, but it seems like PowerShell can only give me strings. This leaves me wondering, what encoding is used to convert the binary data into strings? And also, how does it interpret newlines in order to divide the binary data into a string array? It seems to be

问题 We're having issues inserting links into rich text in Sitecore 6.1.0. When a link to a sitecore item is inserted, it is outputted as: http://domain/~/link.aspx?_id=8A035DC067A64E2CBBE2662F6DB53BC5&_z=z Rather than the actual resolved url: http://domain/path/to/page.aspx This article confirms that this should be resolved in the render pipeline: in Sitecore 6 it inserts a specially formatted link that contains the Guid of the item you want to link to, then when the item is rendered the special

问题 The server I'm developing has different tasks to perform based on messages received from clients, some tasks are very simple and require little time to perform, but other may take a while. Adding an ExecutionHandler to the pipeline seems like a good solution for the complicated tasks but I would like to avoid threading simple tasks. My pipeline looks like this: pipeline.addLast("decoder", new MessageDecoder()); pipeline.addLast("encoder", new MessageEncoder()); pipeline.addLast("executor",

问题 I have a simple pipeline. I want to start it once with the Id 2381, then while the first job is running I want to start a second run with the Id 231. The first run completes as expected. The second run returns this response Pid(s) set([10362]) already running Process finished with exit code 0 I am starting the runs like this run one: luigi.run( cmdline_args=["--id='newId13822'", "--TaskTwo-id=2381"], main_task_cls=TaskTwo() ) run two: luigi.run( cmdline_args=["--id='newId1322'", "--TaskTwo-id

问题 I'm currently working on a project to forward (and later transcode) a RTP-Stream from a IP-Webcam to a SIP-User in a videocall. I came up with the following gstreamer pipeline: gst-launch -v rtspsrc location="rtsp://user:pw@ip:554/axis-media/media.amp?videocodec=h264" ! rtph264depay ! rtph264pay ! udpsink sync=false host=xxx.xxx.xx.xx port=xxxx It works very fine. Now I want to create this pipeline using java. This is my code for creating the pipe: Pipeline pipe = new Pipeline("IPCamStream");

问题 I have a large dataset stored in tfrecord file like 333 for training so I shrard the data into multiple files like 1024 tfrecords file instead of one. And I used the input pipeline in tf.Dataset Api. like: ds= ds.TFRecordsDataset(files).shuffle().repeat().shuffle().repeat() ds = ds.prefetch(1) And I have my own generator that yields batch_x, batch_y . My problem is the code is working only when I set the workers=0 in fit_generator() . Whenever I set it to more than 0 , it will give the

问题 I am comparing the performance of two programs about KerasRegressor using Scikit-Learn StandardScaler : one program with Scikit-Learn Pipeline and one program without the Pipeline . Program 1: estimators = [] estimators.append(('standardise', StandardScaler())) estimators.append(('multiLayerPerceptron', KerasRegressor(build_fn=build_nn, nb_epoch=num_epochs, batch_size=10, verbose=0))) pipeline = Pipeline(estimators) log = pipeline.fit(X_train, Y_train) Y_deep = pipeline.predict(X_test)

问题 I have switched my current video project from command prompt to PowerShell so that I can take full advantage of the Tee-Object for a multi output code. Currently, I have a version of my code working in batch, but I need to add one more feature through a tee. This is my first time using PowerShell, so this is probably a simple fix... Currently I have figured out how to run ffmpeg and ffplay in PowerShell, and I have a program in batch which takes an ffmpeg output and pipes it to ffplay , and

问题 I am using luigi to execute a chain of tasks, like so: class Task1(luigi.Task): stuff = luigi.Parameter() def output(self): return luigi.LocalTarget('test.json') def run(self): with self.output().open('w') as f: f.write(stuff) class Task2(luigi.Task): stuff = luigi.Parameter() def requires(self): return Task1(stuff=self.stuff) def output(self): return luigi.LocalTarget('something-else.json') def run(self): with self.output().open('w') as f: f.write(stuff) This works exactly as desired when I