camera-capture | GUI tool for collecting & labeling data | Data Labeling library
kandi X-RAY | camera-capture Summary
kandi X-RAY | camera-capture Summary
GUI tool for collecting & labeling data from live camera feed
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QUESTION
i want to display multiple images capture by camera to Grid view. i go through many questions how to do but non perfectly work for me. i use This to implement. but using this i am able to get the image in my image view but whenever i capture new image that image replace my older image. and now i am clue less what should i do to add camera images one after another. anyone know how to implement this then please help me with sample code. thank you in advance.
...ANSWER
Answered 2020-Apr-06 at 07:49Use the comment provided in the answer in this link:
showing camera capture image to gridview
This should serve your purpose. Hope this helps. Let me know if you face any issues
You maintain a list out the onActivityResult. Initialize the list as a class variable means
QUESTION
I'm using a JavaScript plugin (https://github.com/apache/cordova-plugin-camera) which I'm calling this way:
...ANSWER
Answered 2019-Dec-15 at 14:00Did you try the example code from the github page of the "cordova-plugin-camera" plugin? There are good explanation examples you can find here :
QUESTION
I am trying to create an Azure IoT Edge device on a Windows host, but running a module built as a Linux container. In a previous experiment, I was able to successfully create an Azure IoT Edge device on a Linux host, and successfully running this same Linux container module.
However, when I deploy the module onto the Windows host, the module shows that it is not running, and when I view the module's log using "iotedge logs camera-capture" I get the following error:
...ANSWER
Answered 2019-Dec-05 at 19:29After spending a few days stuck on this issue, I finally found the solution. The problem was with the IoT Edge runtimes on Windows were not configured to handle Linux containers! As of this writing, the solution is documented here by Microsoft: https://docs.microsoft.com/en-us/azure/iot-edge/how-to-install-iot-edge-windows-with-linux
But in case of a future dead link, you basically have to add additional flags when you install your Azure IoT Edge runtimes to handle linux containers.
QUESTION
I have simple question. Is there any possibility to implement screen sharing which will work on most of devices and browsers?
I look on the internet, and found some plugins for chrome, but I want to have screen sharing without installing any plugins, or setting some experimental flag on chrome.
The best solution will be when I could have stream from navigator, the same as my camera-capture.
Code for getting video from camera
...ANSWER
Answered 2017-Oct-19 at 04:20At this stage only firefox will let you use screensharing without an additional security plugin or service.
QUESTION
I'm very new to Azure IoT Edge and I'm trying to deploy to my Raspberry PI : Image Recognition with Azure IoT Edge and Cognitive Services but after Build & Push IoT Edge Solution and Deploy it to Single Device ID I see none of those 2 modules listed in Docker PS -a & Iotedge list And when try to check it on EdgeAgent Logs there's error message and it seems EdgeAgent get error while creating those Modules (camera-capture and image-classifier-service)
I've tried : 1. Re-build it from fresh folder package 2. Pull the image manually from Azure Portal and run the image manually by script
I'm stuck on this for days.
in deployment.arm32v7.json for those modules I define the Image with registered registry url :
...ANSWER
Answered 2019-May-28 at 16:59When you pulled the image directly with docker run
, it pulled but then failed to run outside of the edge runtime, which is expected. But when the edge agent tried to pull it, it failed because it was not authorized. No credentials were supplied to the runtime, so it attempted to access the registry anonymously.
Make sure that you add your container registry credentials to the deployment so that edge runtime can pull images. The deployment should contain something like the following in the runtime settings:
QUESTION
I have an IOTEdge device (Rapi3) and IotEdgeHub and IotEdgeagent are deployed and running.
I have successfully built and deployed images (custom-vision example) to ACR and have configured Access Keys in the portal. I've added the respective credentials to my .env
file.
The deployment.json
has been deployed using Create deployment for single device
.
Within IotAgent logs I can see a series of 500
errors:
Executing command for operation ["create"] failed. Microsoft.Azure.Devices.Edge.Agent.Edgelet.EdgeletCommunicationException- Message:Error calling Create module camera-capture: Could not create module camera-capture caused by: Could not pull image myregistryname.azurecr.io/azurev1/cameracapture:0.2.7-arm32v7 caused by: Get https://myregistryname.azurecr.io/v2/azurev1/cameracapture/manifests/0.2.7-arm32v7: unauthorized: authentication required, StatusCode:500
I have already run sudo docker login -u myregistryname -p accesskeypassword1 myregistryname.azurecr.io/azurev1
successfully
I can run sudo docker pull myregistryname.azurecr.io/azurev1/cameracapture:0.2.7-arm32v7
manually which successfully download the respective image.
It would appear that IotEdgeHub and/or IotEdgeAgent doesn't have the same access to the ACR. How can I elevate the privileges.
Update; my deployment.template.json
file is as follows:
ANSWER
Answered 2019-Jan-31 at 15:51The deployment.json
that gets send to the device should look like this (if you do use the ACR admin credentials and not the recommended service principle):
QUESTION
Lots of questions have been made about camera2 api and RAW image format, but searching online I have still not found the answer (that's why I am here btw).
I am trying to do some real-time image processing on camera-captured frames using ImageReader and setRepeatingRequest with the front-facing camera. As suggested in some previous posts, I am acquiring the image in a RAW format (specifically Imageformat.yuv_420_888) in order to have a frame-rate around 30fps:
...ANSWER
Answered 2017-Jun-22 at 17:26No, there's no built-in rotation for YUV output. To minimize overhead, it's always produced as-is from the image sensor. You can read the SENSOR_ORIENTATION field to determine how the image sensor is placed on the device; typically the long edge of the image sensor lines up with the long edge of the Android device, but that still leaves two rotations that are valid.
Also, if your goal is to have the image 'upright', then you also need to read what the device's orientation is from the accelerometer, and add that in to the rotation.
You're doing a copy already getting the frame from the Image into the Allocation, so doing a 90/180/270 degree rotation then is relatively straightforward, though memory-bandwidth-intensive.
You can also take a look at one of Google's sample apps, HdrViewfinderDemo, which pipes camera data into RenderScript without the intermediate copy you're doing, and then converts to RGB to draw to a SurfaceView. It doesn't have a rotation in it now, but you could adjust the lookup done via rsGetElementAtYuv_uchar_* to do 90-increments.
QUESTION
In a cordova project, i use the camera plugin. In browser, it creates a video element within a div with class cordova-camera-capture
.
Due to the css framework I use (FrameWork7), this div is invisible and I'm unable to take the webcam picture.
So i decided to move the div in my view (in a div with ID capture
).
Here is my code:
...ANSWER
Answered 2017-Jan-01 at 17:00Use autoplay
attribute
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