webcamera | 网页截图工具 | Frontend Framework library

I try to run deep lab model javascript on video here but I get the error Unhandled Rejection (Error): The dtype of dict['ImageTensor'] provided in model.execute(dict) must be int32, but was float32 , here is my code

I want to use webcamera to get frame and run tensorflow model "handpose" for estimating hand visibility. As we know, handpose model is a little slow so i try to move estimating to web worker.

the problem is HTMLVideoElement object could not be cloned. (I need to pass video to estimateHand method).

Is it possible to do it in another way?

web worker:

Command (PS == Windows PowerShell):

Found code from Github (https://github.com/atulapra/Emotion-detection) for emotion detection. I want to make some changes in it and want to combine with Tkinter for an easy user interaction. Something like this shown in image below. Here I wrote some code for tk window:

I wrote a code to convert between OpenCV Mat to PImage (ARGB) and back. I use webcamera as input with captured by Processing video library. It works in Java2D renderer but not in P2D or P3D renderer. What migh be the issue?

It tried using loadPixels() and updatePixels() statements - it does not work. Also what is peculiar is that camera image in P3D renderer can not be copied to PImage with pimage = cam.copy(); or pimage = cam.get(); but it has to be assigned like pimage = cam; I dont understand why is that?

I am using native Opencv Java 3.4.

Is it possible to capture stream from webcamera(in front end) and stream it to server via hls or rtmp with pure js(no flash).
And if there are another protocol which let send stream as stream(unlike hls), will be prefered.

So, I have a Django app, that manages some USB webcameras(all Logitech C525)
This app takes frame from a VideoCapture object, when the GET request comes on specified API-endpoint and sends this frame to a server, to do some classification of object on image (usually fruits/vegetables)
App receiving requests from clients, each client's IP address(app and clients are in the same local network) is binded to unique webcam ID
Here's a snippet, that shows, how I'm searching binding between camera ID and logical device in /dev/video* to create a VideoCapture object:

Looking for minimize the problems during the rollout of this project, I opted in on use Docker over Debian over Oracle VM Virtual Box. On this specific situation, Virtual Box is over Windows 8.

The webcamera I'm trying to access via OpenCV is an OmniVision OV2722 delivered by DELL on Venue 11 Pro Tablet.

The path I'm doing to use this resource is as follow:

• Once the Debian virtual machine's on, I check the webcam on devices > webcams menu.
• Initiate the Docker container parsing the webcam with --device=/dev/video0:/dev/video0flag.
• Run my script inside the container.

• The VideoCapture constructor doesn't return NULL pointer.
• The camera is Opened, when check the method with cap.isOpened()
• When trying to get next frame with cap.read(), the script returns with select timeout
• Right after select timeout, the following error is shown:

OpenCV Error: Assertion failed (buf.data && buuf.idContinuos()) in imdecode_, file /riit/icv-tmp/opencv-2.4.11/modules/highui/src/loadsave.cpp, line 307

Traceback (most recent call last): File "main.py, line 285, in ret,frame = cap.read() cv2.error: /root/ocv-tmp/opencv-2.4.11/modules/hihgui/src/loadsave.coo:307: error: (-215) buf.data && buf.isContinuos() in function imdecode_

• Resize image with cv2.VideoCapture.set() method: got HIGHGUI ERROR: V4L/V4L2: VIDIOC_S_CROP
• Remove and Insert kernel module UVCVIDEO either from docker linux host and docker linux container, setting --nodrop=1 and --timeout=10000 flags.
• Running the same script with an USB camera (Logitech C920): IT WORKED!
• On cap = cv2.VideoCapture() already tryed with -1, 0, 1, 2, 3 indexes: ONLY -1 and 0 made me go to the root error. 1, 2 and 3 caused fatal error on the execution.
• Tried to run Virtual box with admin rights.

HOST: Window 8.1 Pro, 2GB, Intel Atom Z3775 GUEST: Debian 9, 1GB DOCKER Image: bamos/openface

The code I'm using here is pretty standard, by the way, it was based on OpenCV documment

I tried to use canvas to draw a rectangle 100 x 100 over the center of the image captured by webcam (using "navigator.mediaDevices.getUserMedia") and HTML 5 tag "video".

To capture a webcam image I use :