All Projects → Yoonit-Labs → Nativescript Yoonit Camera

Yoonit-Labs / Nativescript Yoonit Camera

Licence: mit
The most advanced and modern NativeScript Camera module for Android and iOS with a lot of awesome features

Programming Languages

typescript
32286 projects

Projects that are alternatives of or similar to Nativescript Yoonit Camera

Spherelayout
a layout which supports 3d rotate and enable its childview has z-depth for android
Stars: ✭ 55 (-20.29%)
Mutual labels:  camera
Cameramanager
Simple Swift class to provide all the configurations you need to create custom camera view in your app
Stars: ✭ 1,130 (+1537.68%)
Mutual labels:  camera
Onvifcamera
Pod and example on how to connect to an ONVIF camera
Stars: ✭ 66 (-4.35%)
Mutual labels:  camera
Opengl4android
OpenGL运用在Android上的Demo,结合Camera和MediaCodec实现预览和渲染,用于实现视频的裁剪,翻转,缩放,滤镜功能。
Stars: ✭ 56 (-18.84%)
Mutual labels:  camera
App Media
Elements for accessing data from media input devices and visualizing that data for users
Stars: ✭ 60 (-13.04%)
Mutual labels:  camera
Ofxmvg
OFX plugins for Multiple View Geometry
Stars: ✭ 64 (-7.25%)
Mutual labels:  camera
Node Blink Security
This is an npm module for communicating with Blink Home Security System
Stars: ✭ 54 (-21.74%)
Mutual labels:  camera
Kontax Cam
Instant camera hybrid with multiple effects and filters written in Swift.
Stars: ✭ 69 (+0%)
Mutual labels:  camera
Iot camera
IoT Camera with Wi-Fi, RT-Thread
Stars: ✭ 62 (-10.14%)
Mutual labels:  camera
Nativescript Keyboard Toolbar
⌨️🛠Add a customizable toolbar on top of the soft keyboard
Stars: ✭ 66 (-4.35%)
Mutual labels:  nativescript
Camerabackground
Show camera layer as a background to any UIView
Stars: ✭ 57 (-17.39%)
Mutual labels:  camera
Testcoreml
A camera object recognition demo using the CoreML & AVCam framework. Required XCode 9 & iOS 11.
Stars: ✭ 60 (-13.04%)
Mutual labels:  camera
Nativescript Admob
NativeScript plugin to earn some precious 💰💰 with ads by Google AdMob
Stars: ✭ 64 (-7.25%)
Mutual labels:  nativescript
Mtbbarcodescanner
A lightweight, easy-to-use barcode scanning library for iOS 8+
Stars: ✭ 1,085 (+1472.46%)
Mutual labels:  camera
Mgs Camera
Unity plugin for control camera in scene.
Stars: ✭ 66 (-4.35%)
Mutual labels:  camera
Esp32 Ov7670 Hacking
Based on https://github.com/igrr/esp32-cam-demo extended with an ILI9341 display, with a Telnet interface to change OV7670 settings on the fly. Streams BMP files from RGB565 and YUV422 (encoded to RGB565) picture formats. Compile with latest esp-idf. Check out new telnet command "video 1" to auto capture to LCD as fast as possible for videocam mode, "video 0" to stop or "video Z" where Z is delay in ms between each capture / LCD refresh.
Stars: ✭ 55 (-20.29%)
Mutual labels:  camera
Sitting Posture Recognition
Detects the sitting position of a person
Stars: ✭ 64 (-7.25%)
Mutual labels:  camera
Nativescript Dev Appium
A package to help with writing and executing e2e Appium tests in NativeScript apps
Stars: ✭ 69 (+0%)
Mutual labels:  nativescript
Picker
Picker - A CameraX based WhatsApp Style Image-Video Picker
Stars: ✭ 69 (+0%)
Mutual labels:  camera
Nativescript Ionic Template
📱 🖥 Create Mobile First apps, Web and Native sharing the code with Angular 🎉
Stars: ✭ 65 (-5.8%)
Mutual labels:  nativescript

NativeScript Yoonit Camera

NativeScript Version Downloads

Android iOS MIT license

A NativeScript plugin to provide:

  • Modern Android Camera API Camera X
  • Camera preview (Front & Back)
  • Google MLKit integration
  • PyTorch integration (Soon)
  • Computer vision pipeline
  • Face detection, capture and image crop
  • Understanding of the human face (Soon)
  • Frame capture
  • Capture timed images
  • QR Code scanning

Table Of Contents

Installation

npm i -s @yoonit/nativescript-camera  

Usage

All the functionalities that the @yoonit/nativescript-camera provides is accessed through the YoonitCamera component, that includes the camera preview. Below we have the basic usage code, for more details, your can see the Methods, Events or the Demo Vue.

VueJS Plugin

main.js

import Vue from 'nativescript-vue'  
import YoonitCamera from '@yoonit/nativescript-camera/vue'  
  
Vue.use(YoonitCamera)  

After that, you can access the camera object in your entire project using this.$yoo.camera

Vue Component

App.vue

<template>
  <Page @loaded="onLoaded">
    <YoonitCamera
      ref="yooCamera"
      initialLens="front"
      captureType="face"
      numberOfImages=10
      timeBetweenImages=500
      saveImageCaptured=true
      faceDetectionBox=true
      @faceDetected="doFaceDetected"
      @imageCaptured="doImageCaptured"
      @endCapture="doEndCapture"
      @qrCodeContent="doQRCodeContent"
      @status="doStatus"
      @permissionDenied="doPermissionDenied"
    />
  </Page>
</template>

<script>
  export default {
    data: () => ({}),

    methods: {
      async onLoaded() {

        console.log('[YooCamera] Getting Camera view')
        this.$yoo.camera.registerElement(this.$refs.yooCamera)

        console.log('[YooCamera] Getting permission')
        if (await this.$yoo.camera.requestPermission()) {
          
          console.log('[YooCamera] Permission granted, start preview')
          this.$yoo.camera.preview()
        }
      },

      doFaceDetected({ x, y, width, height }) {
        console.log('[YooCamera] doFaceDetected', `{x: ${x}, y: ${y}, width: ${width}, height: ${height}}`)
        if (!x || !y || !width || !height) {
          this.imagePath = null
        }
      },

      doImageCaptured({
        type,
        count,
        total,
        image: {
          path,
          source
        }
      }) {
        if (total === 0) {
          console.log('[YooCamera] doImageCreated', `${type}: [${count}] ${path}`)
          this.imageCreated = `${count}`
        } else {
          console.log('[YooCamera] doImageCreated', `${type}: [${count}] of [${total}] - ${path}`)
          this.imageCreated = `${count} de ${total}`
        }

        this.imagePath = source
      },

      doEndCapture() {
        console.log('[YooCamera] doEndCapture')
      },

      doQRCodeContent({ content }) {
        console.log('[YooCamera] doQRCodeContent', content)
      },

      doStatus({ status }) {
        console.log('[YooCamera] doStatus', status)
      },

      doPermissionDenied() {
        console.log('[YooCamera] doPermissionDenied')
      }
    }
  }
</script>

API

Props

Props Input/Format Default value Description
lens "front" or "back" "front" The camera lens to use "front" or "back".
captureType "none", "front", "frame" or "qrcode" "none" The capture type of the camera.
imageCapture boolean false Enable/disabled save image capture.
imageCaptureAmount number 0 The image capture amount goal.
imageCaptureInterval number 1000 The image capture time interval in milliseconds.
imageCaptureWidth "NNpx" "200px" The image capture width in pixels.
imageCaptureHeight "NNpx" "200px" The image capture height in pixels.
colorEncoding "RGB" or "YUV" "RGB" Only for android. The image capture color encoding type: "RGB" or "YUV".
faceDetectionBox boolean false Show/hide the face detection box.
faceMinSize "NN%" "0%" The face minimum size percentage to capture.
faceMaxSize "NN%" "100%" The face maximum size percentage to capture.
faceROI boolean false Enable/disable the region of interest capture.
faceROITopOffset "NN%" "0%" Distance in percentage of the top face bounding box with the top of the camera preview.
faceROIRightOffset "NN%" "0%" Distance in percentage of the right face bounding box with the right of the camera preview.
faceROIBottomOffset "NN%" "0%" Distance in percentage of the bottom face bounding box with the bottom of the camera preview.
faceROILeftOffset "NN%" "0%" Distance in percentage of the left face bounding box with the left of the camera preview.
faceROIMinSize "NN%" "0%" The minimum face size related within the ROI.
faceROIAreaOffset boolean false Enable/disable ROI area visibility
faceROIAreaOffsetColor string '#ffffff73' Set ROI area color by hexadecimal value
faceContours - Android Only boolean false Enable/disable face contours
faceContoursColor - Android Only string '#FFFFFF' Set face contours color
computerVision - Android Only boolean false Enable/disable computer vision model

Methods

Function Parameters Valid values Return Type Description
requestPermission - - promise Ask the user to give the permission to access camera.
hasPermission - - boolean Return if application has camera permission.
preview - - void Start camera preview if has permission.
startCapture type: string
  • "none"
  • "face"
  • "qrcode"
  • "frame"
void Set capture type "none", "face", "qrcode" or "frame". Default value is "none".
stopCapture - - void Stop any type of capture.
destroy - - void Destroy preview.
toggleLens - - void Toggle camera lens facing "front"/"back".
setCameraLens lens: string "front" or "back" void Set camera to use "front" or "back" lens. Default value is "front".
getLens - - string Return "front" or "back".
setImageCapture enable: boolean true or false void Enable/disabled save image capture. Default value is false
setImageCaptureAmount amount: Int Any positive Int value void For value 0, save infinity images. When the capture image amount is reached, the event onEndCapture is triggered. Default value is 0.
setImageCaptureInterval interval: number Any positive number that represent time in milliseconds void Set the image capture time interval in milliseconds.
setImageCaptureWidth width: string Value format must be in NNpx void Set the image capture width in pixels.
setImageCaptureHeight height: string Value format must be in NNpx void Set the image capture height in pixels.
setImageCaptureColorEncoding colorEncoding: string "YUV" or "RGB" void Only for android. Set the image capture color encoding type: "RGB" or "YUV".
setFaceDetectionBox enable: boolean true or false void Set to show/hide the face detection box.
setFacePaddingPercent percentage: string Value format must be in NN% void Set face image capture and detection box padding in percentage.
setFaceCaptureMinSize percentage: string Value format must be in NN% void Set the face minimum size percentage to capture.
setFaceCaptureMaxSize percentage: string Value format must be in NN% void Set the face maximum size percentage to capture.
setFaceROIEnable enable: boolean true or false void Enable/disable face region of interest capture.
setFaceROITopOffset percentage: string Value format must be in NN% void Distance in percentage of the top face bounding box with the top of the camera preview.
setFaceROIRightOffset percentage: string Value format must be in NN% void Distance in percentage of the right face bounding box with the right of the camera preview.
setFaceROIBottomOffset percentage: string Value format must be in NN% void Distance in percentage of the bottom face bounding box with the bottom of the camera preview.
setFaceROILeftOffset percentage: string Value format must be in NN% void Distance in percentage of the left face bounding box with the left of the camera preview.
setFaceROIMinSize percentage: string Value format must be in NN% void Set the minimum face size related within the ROI.
setFaceROIAreaOffset enable: boolean true or false void Set ROI area visibility
setFaceROIAreaOffsetColor color: string Hexadecimal color void Set ROI area color
setFaceContours (Android Only) enable: boolean true or false void Enable/disable face contours
setFaceContoursColor (Android Only) color: string Hexadecimal color void Set face contours color
setComputerVision (Android Only) enable: boolean true or false void Enable/disable computer vision model
setComputerVisionLoadModels (Android Only) modelPaths: Array<string> Valid system path file to a PyTorch computer vision model void Set model to be used when image is captured. To se more about it, Click Here
computerVisionClearModels (Android Only) - - void Clear models that was previous added using `setComputerVisionLoadModels

Events

Event Parameters Description
imageCaptured { type: string, count: number, total: number, image: object = { path: string, source: any, binary: any }, inferences: [{ ['model name']: model output }] } Must have started capture type of face/frame. Emitted when the face image file saved:
  • type: "face" or "frame"
  • count: current index
  • total: total to create
  • image.path: the face/frame image path
  • image.source: the blob file
  • image.binary: the blob file
  • inferences: An Array with models output
    faceDetected { x: number, y: number, width: number, height: number } Must have started capture type of face. Emit the detected face bounding box. Emit all parameters null if no more face detecting.
    endCapture - Must have started capture type of face/frame. Emitted when the number of image files created is equal of the number of images set (see the method setImageCaptureAmount).
    qrCodeContent { content: string } Must have started capture type of qrcode (see startCapture). Emitted when the camera read a QR Code.
    status { type: 'error'/'message', status: string } Emit message error from native. Used more often for debug purpose.
    permissionDenied - Emit when try to preview but there is not camera permission.

    Messages

    Pre-define message constants used by the status event.

    Message Description
    INVALID_CAPTURE_FACE_MIN_SIZE Face width percentage in relation of the screen width is less than the set (setFaceCaptureMinSize).
    INVALID_CAPTURE_FACE_MAX_SIZE Face width percentage in relation of the screen width is more than the set (setFaceCaptureMaxSize).
    INVALID_CAPTURE_FACE_OUT_OF_ROI Face bounding box is out of the set region of interest (setFaceROIOffset).
    INVALID_CAPTURE_FACE_ROI_MIN_SIZE Face width percentage in relation of the screen width is less than the set (setFaceROIMinSize).

    Contribute and make it better

    Clone the repo, change what you want and send PR.

    Contributions are always welcome, some people that already contributed!


    Code with ❤ by the Cyberlabs AI Front-End Team

    Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].