




The logic happens in TextClassificattionActivity. Language Processing ExampleĪnother example is natural language processing, based on an LSTM model, trained on a reddit comments dataset. It uses the aforementioned TensorImageUtils.imageYUV420CenterCropToFloat32Tensor method to convert in YUV420 format to input tensor.Īfter getting predicted scores from the model it finds top K classes with the highest scores and shows on the UI. Where the analyzeImage method process the camera output,. setImageReaderMode(_LATEST_IMAGE)įinal ImageAnalysis imageAnalysis = new ImageAnalysis(imageAnalysisConfig) ĬameraX.bindToLifecycle(this, preview, imageAnalysis) tOnPreviewOutputUpdateListener(output -> tSurfaceTexture(output.getSurfaceTexture())) įinal ImageAnalysisConfig imageAnalysisConfig = In addition, Torch Browser does not collect any personal information about its users, nor does it contain any advertising software, according to the program's developers.Final PreviewConfig previewConfig = new PreviewConfig.Builder().build() įinal Preview preview = new Preview(previewConfig) Torch Browser is a kind of "Swiss knife" in the world of browsers, combining the most necessary and interesting features of modern web browsers. The program allows you to increase the speed of downloading files, supports Chromium addons and provides a high level of security from viral, phishing and other Internet attacks. With this browser you can also communicate on social networks (e.g. Torch Browser supports a variety of media file formats and can easily download them to your computer without the need for special plugins, converters or other third-party software. If you use torrents a lot, watch videos on YouTube and chat on social networks, then Torch Browser is what you need! This browser has a built-in torrent-client, as well as a media grabber that allows you to download music and videos from virtually any site. Torch Browser is a web browser working on the Chromium engine and optimized for working with multimedia content.
