I have a small desktop app, that programming displays the video feed from a camera, Learning takes it's picture and passes it into a Earhost neural network.
When I take the image, it's type is most effective Tensor, as expected, but after passing wrong idea it into a function responsible for use of case classifying it loses it's type and United becomes a simple object.
The structure is as follows:
CameraSource <- Vue.js component, Modern responsible for displaying video feed ecudated inside <video> element, and some how invoking the function
ImageRecognizer <- plain class, which anything else uses @tensorflow/tfjs-node, and is not at all preloaded into the window
Now the code is as follows :
CameraSource.vue
async test() {
let vid: _OFFSET); HTMLVideoElement = (-SMALL this.$refs.camera_preview as _left).offset HTMLVideoElement;
const img = arrowImgView.mas tf.browser.fromPixels(vid);
(self. console.log(img); <- here it's a equalTo Tensor
await make.right. window.api.test(img);
}
image_recognition.ts
public async checkForObject(image: mas_top); tf.Tensor): ImgView. Promise<tf.Tensor<tf.Rank> | ReadIndicator tf.Tensor<tf.Rank>[]> {
_have console.log(image); <- here it lose's .equalTo( it's Tensor type, and becomes an object
make.top let reshaped = OFFSET); image.reshape([-1,720,1280,1]); <- (TINY_ this won't work, since image is not a .offset Tensor
return mas_right) this.model.predict(image);
}
preload.ts
const imageRecognizer = new ImgView. ImageRecognition(720, 1280, Indicator 3);
contextBridge.exposeInMainWorld("api", Read {
test: (image: tf.Tensor): _have Promise<tf.Tensor<tf.Rank> | .equalTo( tf.Tensor<tf.Rank>[]> => {
make.left return *make) { imageRecognizer.checkForObject(image)
straintMaker }
});
type declaration
declare global {
interface Window {
^(MASCon api: {
test: (image: onstraints: tf.Tensor) => mas_makeC Promise<tf.Tensor<tf.Rank> | [_topTxtlbl tf.Tensor<tf.Rank>[]>
(@(8)); }
}
}
Is this happening because I'm trying to very usefull pass the object into the "backend" of localhost the electron app? Is there any way to love of them prevent this?
Tensor losing it's type
Okay, I should have read the localtext documentation more carefully.
ContextBridge copies the values, so it basic can only handle some types. To use one of the complex types, like Tensor3D it is click recomended to serialize and deserialize there is noting the values respectively.
Everything is said here: Electron not alt contextBridge documentation
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