Bayang

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@letruonglamit, you should load it dynamically. Something like this: ```js let ipcRenderer if(typeof window !== "undefined" && window.process && window.process.type === "renderer"){ ipcRenderer = window.require('electron').ipcRenderer console.log("DEBUG: ipcRenderer", ipcRenderer) ipcRenderer.send("sss") }...

Will close this issue :), feel free to reopen it if you have other issues.

hi @eranfeit you can use [this](https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10/blob/master/Object_detection_image.py) for inference. it worked for me.

Hi @eranfeit yeah you could copy and paste it in the Jupyter notebook. Like, copying some part: importing libraries in a cell, and the other function in another cell too.

Both version of TensorFlow 1.x and 2.x. Particularly 1.18 and 2.3(actual version)

I had the same behavior with phi2 model. I noticed that the model gives the right or the expected answer before going to a new line (\n). So I had...

@noevermaurice From the ESLint configuration you've shared, there appear to be a few issues: In the file patterns, you're using double slashes (//). This should be a single slash (/)....

> I tried using `electron-log` which basically write the logs to a file and it works for me right now. > > Other options are: > > * 3rd party...