I am trying to integrate mediapipe into a flask server, basically I upload a photo and then it calculates the pose. It works perfectly the first time. However everytime I try to upload a new image It crashes.
Have you ever faced this error?:
class utils::PreconditionPanic
in struct utils::JobSystem::ThreadState &__cdecl utils::JobSystem::getState(void) noexcept:228
reason: This thread has not been adopted.
Related
I am developing an Android app that gets data from Movesense using the GATT profile from the sample app GATT Sensor Data App here.
I followed the tutorial available here. Building the app and getting the DFU worked fine. I can get IMU, HR and temperature data with no issues.
Now I'd like add a tap detection feature to my app. I understand that I have to subscribe to 'System/States', but first I need to be able to receive the system state data.
I understand that I need a modified DFU for that, but I don't understand what changes I should make in which files of the gatt_sensordata_app before rebuilding and generating the new DFU.
What changes should I make in order to broadcast /System/State data?
(I usually just deal with Android so apologies for the very basic question.)
I tried adding #include "system_states/resources.h" to GATTSensorDataClient.cpp but I don't know how to continue.
The normal data straming in the gatt_sensordata_app uses the sbem-encoding code that the build process generates when building the firmware. However /System/States is not among the paths that the code can serialize. Therefore the only possibility is to implement the States-support to the firmware.
Easiest way is to do as follows:
In your python app call data subscription with "/System/States/3" (3 == DOUBLE_TAP)
Add a special case to the switch in onNotify which matches the localResourceId to the WB_RES::LOCAL::SYSTEM_STATES_STATEID::LID
In that handler, return the data the way you want. Easiest is to copy paste the "default" handler but replace the code between getSbemLength() & writeToSbemBuffer(...) calls with your own serialization code
Full disclosure: I work for the Movesense team
i have an app that's creating an audio context and then decoding multiple audio files to get audio buffers on page load (on component mount in react) ,
everything is going as expected , handling errors and all .
but there's one that i don't know its source :
InvalidStateError: An attempt was made to use an object that is not, or is no longer, usable
after some research i found out that the audio context is starting with a state of suspended , and that's what's causing the problem .
is that gonna affect the app or not ?
Disclaimer: I posted this originally on Code Review but as the code does not currently work I was suggested to post at SO instead.
I have converted the official AWS SDK iOS (v 2.5.0) framework (focusing on S3) to macOS and everything is working as expected with uploads and downloads. However, I wanted to also enable Transfer Acceleration for S3 using AWSTransferManager. I know that you can enable Transfer Acceleration (TA) using the AWSTransferUtility, but that utility uses pre-signed requests that are valid for only 50 minutes (useful for iOS but not macOS). I would like to be able to transfer files that are large and can take hours even when using Transfer Acceleration.
I have edited the original code from AWS to enable TA for AWSTransferManager, however, I still can not get this to work properly as the final signing of the upload/download request fails. The error message is:
Message=The request signature we calculated does not match the signature you provided. Check your key and signing method.}]
For the most part, I have edited the files AWSSignature, AWSS3TransferManager, and AWSService (AWSServiceConfiguration). I think that the signing error occurs because I am editing a path, or URL without correctly code signing the change (probably in AWSSignature.m). As I am uncertain as to where my code breaks, I have created a repository with all of the AWS SKD macOS files required to compile the framework including a unit test. If I run the test initializing the call to AWSServiceConfiguration with:
AWSServiceConfiguration *configuration = [[AWSServiceConfiguration alloc]initWithRegion:[region aws_regionTypeValue] credentialsProvider:credentialsProvider
accelerateModeEnabled:#(NO)
bucketName:self.testBucketName];
Then everything works as expected and the test file uploads and downloads correctly. However, if I try to turn transfer acceleration on (I have already made sure that my bucket has acceleration enabled), then it fails with the code signing error above.
AWSServiceConfiguration *configuration = [[AWSServiceConfiguration alloc]initWithRegion:[region aws_regionTypeValue] credentialsProvider:credentialsProvider
accelerateModeEnabled:#(YES)
bucketName:self.testBucketName];
In fact it seems like the test script is trying to upload a file much larger than what the testfile (3 Mb) really is. I assume my error is related to the signing of the URL body in some way as the size of the file seems wrong.
I know that finding this error requires a bigger effort than what is usually expected at SO and it is not something many will throw themselves at (but hopefully some) as it involves very complex code and it is time-consuming. However, I do believe that if we could make this work then many can find the framework for AWS SKD for macOS + Transfer Acceleration very useful.
I hope you will take a look at try to identify what may be my problem breaking the code signing.
All code for the framework+test example is available here: https://github.com/trondkr/aws-sdk-macos-TA. To run the unit test you need to provide the secret key and access id to your AWS S3 and the name of a bucket that has transfer acceleration enabled.
Thanks. Cheers, Trond
I'm building an android camera app, and using the FaceDetectionListener. My app has no problems on XperiaZ - LgoptimusBlack- GalaxyNexus4 and some other devices. But with the Google Nexus 7 it gave's me an error:
java.lang.IllegalArgumentException: invalid face detection type=0
When i call
params.getMaxNumDetectedFaces()
it gave's me 0 that means that my camera hardware can recognize 0 faces during the preview with the FaceDetectionListener. I've tried to use the FaceUnlocker of the Nexus7, and it works perfectly , that means that it's not a camera hardware. I googled about it and read the same problem without any answer. I've tried some internet samples with the facedetection, but it's the same problem on the Nexus7!!!
It's unfortunately a Platform issue. Adding try{ }catch( ){ } blocks won't work. Certain devices may simply require a SW upgrade to get fixes.
In the meantime, for those devices not having platform fixes yet you may want to wrap the FaceDetector API: http://developer.android.com/reference/android/media/FaceDetector.html
(Bitmap based YES but can work out the task to identify the location of a face though).
I'm trying to record a webcam's video and audio to a FLV file stored on the users local hard disk. I have a version of this code working which uses NetConnection and NetStream to stream the video over a network to a FMS (Red5) server, but I'd like to be able to store the video locally for low bandwidth/flaky network situations. I'm using FLex 3.2 and AIR 1.5, so I don't believe there should be any sandbox restrictions which prevent this from occurring.
Things I've seen:
FileStream - Allows reading.writing local files but no .attachCamera and .attachAudio methids for creating a FLV.
flvrecorder - Produces screen grabs from the web cam and creates it's own flv file. Doesn't support Audio. License prohibits commercial use.
SimpleFLVWriter.as - Similar to flvrecorder without the wierd license. Doesn't support audio.
This stackoverflow post - Which demonstrates the playback of a video from local disk using a NetConnection/NetStream.
Given that I have a version already which uses NetStream to stream to the server I thought the last was most promising and went ahead and put together this demo application. The code compiles and runs without errors, but I don't have a FLV file on disk which the stop button is clicked.
-
<mx:Script>
<![CDATA[
private var _diskStream:NetStream;
private var _diskConn:NetConnection;
private var _camera:Camera;
private var _mic:Microphone;
public function cmdStart_Click():void {
_camera = Camera.getCamera();
_camera.setQuality(144000, 85);
_camera.setMode(320, 240, 15);
_camera.setKeyFrameInterval(60);
_mic = Microphone.getMicrophone();
videoDisplay.attachCamera(_camera);
_diskConn = new NetConnection();
_diskConn.connect(null);
_diskStream = new NetStream(_diskConn);
_diskStream.client = this;
_diskStream.attachCamera(_camera);
_diskStream.attachAudio(_mic);
_diskStream.publish("file://c:/test.flv", "record");
}
public function cmdStop_Click() {
_diskStream.close();
videoDisplay.close();
}
]]>
</mx:Script>
<mx:VideoDisplay x="10" y="10" width="320" height="240" id="videoDisplay" />
<mx:Button x="10" y="258" label="Start" click="cmdStart_Click()" id="cmdStart"/>
<mx:Button x="73" y="258" label="Stop" id="cmdStop" click="cmdStop_Click()"/>
</mx:WindowedApplication>
It seems to me that there's either something wrong with the above code which is preventing it from working, or NetStream just can't be abused in this wany to record video.
What I'd like to know is, a) What (if anything) is wrong with the code above? b) If NetStream doesn't support recording to disk, are there any other alternatives which capture Audio AND Video to a file on the users local hard disk?
Thanks in advance!
It is not possible To stream video directly to the local disk without using some streaming service like Windows Media encoder, or Red5 or Adobe's media server or something else.
I have tried all the samples on the internet with no solution to date.
look at this link for another possibility:
http://www.zeropointnine.com/blog/updated-flv-encoder-alchem/
My solution was to embed Red5 into AIR.
Sharing with you my article
http://mydevrecords.blogspot.com/2012/01/local-recording-in-adobe-air-using-red5.html
In general, the solution is to embed free media server Red5 into AIR like an asset. So, the server will be present in AIR application folder. Then, through the NativeProcess, you can run Red5 and have its instance in memory. As result, you can have local video recording without any network issues.
I am also trying to do the same thing, but I have been told from the developers of avchat.net that it is not possible to do this with AIR at the moment. If you do find out how to do it, I would love to know!
I also found this link, not sure how helpful it is http://www.zeropointnine.com/blog/webcam-dvr-for-apollo/
Well, I just think that letting it connect to nothing(NULL) doesn't work. I've already let him try to connect to localhost, but that didn't work out either. I don't think this is even possible. Streaming video works only with Flash Media Server and Red5, not local. Maybe you could install Red5 on you PC?
Sadly video support in flash from cameras is very poor. When you stream its raw so the issue is that you have to encode to FLV and doing it in real time takes a very fast computer. First gen concepts would write raw bitmaps to a file (or serialize an array) then a second method would convert the file to an FLV. Basically you have to poll the camera and save each frame as a bitmap then stack in an array. This is very limited and could not do audio. It was also very hard to get above 5-10fps.
The gent at zero point nine, came up with a new version and your on the right path. Look at the new flv recorder. I spent a lot of time working with this but never quite got it to work for my needs (two cameras). I just could not get the FPS i needed. But it might work for you. It was much faster than the original method.
The only other working option I know of is to have the Red5 save the video and download it back to the app.