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[GSoC] OpenCV.js: Accelerate OpenCV.js DNN via WebNN * Add WebNN backend for OpenCV DNN Module Update dnn.cpp Update dnn.cpp Update dnn.cpp Update dnn.cpp Add WebNN head files into OpenCV 3rd partiy files Create webnn.hpp update cmake Complete README and add OpenCVDetectWebNN.cmake file add webnn.cpp Modify webnn.cpp Can successfully compile the codes for creating a MLContext Update webnn.cpp Update README.md Update README.md Update README.md Update README.md Update cmake files and update README.md Update OpenCVDetectWebNN.cmake and README.md Update OpenCVDetectWebNN.cmake Fix OpenCVDetectWebNN.cmake and update README.md Add source webnn_cpp.cpp and libary libwebnn_proc.so Update dnn.cpp Update dnn.cpp Update dnn.cpp Update dnn.cpp update dnn.cpp update op_webnn update op_webnn Update op_webnn.hpp update op_webnn.cpp & hpp Update op_webnn.hpp Update op_webnn update the skeleton Update op_webnn.cpp Update op_webnn Update op_webnn.cpp Update op_webnn.cpp Update op_webnn.hpp update op_webnn update op_webnn Solved the problems of released variables. Fixed the bugs in op_webnn.cpp Implement op_webnn Implement Relu by WebNN API Update dnn.cpp for better test Update elementwise_layers.cpp Implement ReLU6 Update elementwise_layers.cpp Implement SoftMax using WebNN API Implement Reshape by WebNN API Implement PermuteLayer by WebNN API Implement PoolingLayer using WebNN API Update pooling_layer.cpp Update pooling_layer.cpp Update pooling_layer.cpp Update pooling_layer.cpp Update pooling_layer.cpp Update pooling_layer.cpp Implement poolingLayer by WebNN API and add more detailed logs Update dnn.cpp Update dnn.cpp Remove redundant codes and add more logs for poolingLayer Add more logs in the pooling layer implementation Fix the indent issue and resolve the compiling issue Fix the build problems Fix the build issue FIx the build issue Update dnn.cpp Update dnn.cpp * Fix the build issue * Implement BatchNorm Layer by WebNN API * Update convolution_layer.cpp This is a temporary file for Conv2d layer implementation * Integrate some general functions into op_webnn.cpp&hpp * Update const_layer.cpp * Update convolution_layer.cpp Still have some bugs that should be fixed. * Update conv2d layer and fc layer still have some problems to be fixed. * update constLayer, conv layer, fc layer There are still some bugs to be fixed. * Fix the build issue * Update concat_layer.cpp Still have some bugs to be fixed. * Update conv2d layer, fully connected layer and const layer * Update convolution_layer.cpp * Add OpenCV.js DNN module WebNN Backend (both using webnn-polyfill and electron) * Delete bib19450.aux * Add WebNN backend for OpenCV DNN Module Update dnn.cpp Update dnn.cpp Update dnn.cpp Update dnn.cpp Add WebNN head files into OpenCV 3rd partiy files Create webnn.hpp update cmake Complete README and add OpenCVDetectWebNN.cmake file add webnn.cpp Modify webnn.cpp Can successfully compile the codes for creating a MLContext Update webnn.cpp Update README.md Update README.md Update README.md Update README.md Update cmake files and update README.md Update OpenCVDetectWebNN.cmake and README.md Update OpenCVDetectWebNN.cmake Fix OpenCVDetectWebNN.cmake and update README.md Add source webnn_cpp.cpp and libary libwebnn_proc.so Update dnn.cpp Update dnn.cpp Update dnn.cpp Update dnn.cpp update dnn.cpp update op_webnn update op_webnn Update op_webnn.hpp update op_webnn.cpp & hpp Update op_webnn.hpp Update op_webnn update the skeleton Update op_webnn.cpp Update op_webnn Update op_webnn.cpp Update op_webnn.cpp Update op_webnn.hpp update op_webnn update op_webnn Solved the problems of released variables. Fixed the bugs in op_webnn.cpp Implement op_webnn Implement Relu by WebNN API Update dnn.cpp for better test Update elementwise_layers.cpp Implement ReLU6 Update elementwise_layers.cpp Implement SoftMax using WebNN API Implement Reshape by WebNN API Implement PermuteLayer by WebNN API Implement PoolingLayer using WebNN API Update pooling_layer.cpp Update pooling_layer.cpp Update pooling_layer.cpp Update pooling_layer.cpp Update pooling_layer.cpp Update pooling_layer.cpp Implement poolingLayer by WebNN API and add more detailed logs Update dnn.cpp Update dnn.cpp Remove redundant codes and add more logs for poolingLayer Add more logs in the pooling layer implementation Fix the indent issue and resolve the compiling issue Fix the build problems Fix the build issue FIx the build issue Update dnn.cpp Update dnn.cpp * Fix the build issue * Implement BatchNorm Layer by WebNN API * Update convolution_layer.cpp This is a temporary file for Conv2d layer implementation * Integrate some general functions into op_webnn.cpp&hpp * Update const_layer.cpp * Update convolution_layer.cpp Still have some bugs that should be fixed. * Update conv2d layer and fc layer still have some problems to be fixed. * update constLayer, conv layer, fc layer There are still some bugs to be fixed. * Update conv2d layer, fully connected layer and const layer * Update convolution_layer.cpp * Add OpenCV.js DNN module WebNN Backend (both using webnn-polyfill and electron) * Update dnn.cpp * Fix Error in dnn.cpp * Resolve duplication in conditions in convolution_layer.cpp * Fixed the issues in the comments * Fix building issue * Update tutorial * Fixed comments * Address the comments * Update CMakeLists.txt * Offer more accurate perf test on native * Add better perf tests for both native and web * Modify per tests for better results * Use more latest version of Electron * Support latest WebNN Clamp op * Add definition of HAVE_WEBNN macro * Support group convolution * Implement Scale_layer using WebNN * Add Softmax option for native classification example * Fix comments * Fix comments
57 lines
1.9 KiB
JavaScript
57 lines
1.9 KiB
JavaScript
// Modules to control application life and create native browser window
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const {app, BrowserWindow} = require('electron')
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const path = require('path')
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// Keep a global reference of the window object, if you don't, the window will
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// be closed automatically when the JavaScript object is garbage collected.
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let mainWindow = {}
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function createWindow() {
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// Create the browser window.
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mainWindow = new BrowserWindow({
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width: 1220,
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height: 840,
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webPreferences: {
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nodeIntegration: true,
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contextIsolation: false,
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preload: app.getAppPath()+"/node_setup.js"
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}
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})
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// Load the index.html with 'numRunsParm' to run inference multiple times.
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let url = `file://${__dirname}/js_image_classification_webnn_electron.html`
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const numRunsParm = '?' + process.argv[2]
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mainWindow.loadURL(url + numRunsParm)
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// Emitted when the window is closed.
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mainWindow.on('closed', function() {
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// Dereference the window object, usually you would store windows
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// in an array if your app supports multi windows, this is the time
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// when you should delete the corresponding element.
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mainWindow = null
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})
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}
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// This method will be called when Electron has finished
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// initialization and is ready to create browser windows.
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// Some APIs can only be used after this event occurs.
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app.on('ready', createWindow)
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// Quit when all windows are closed.
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app.on('window-all-closed', function() {
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// On macOS it is common for applications and their menu bar
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// to stay active until the user quits explicitly with Cmd + Q
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if (process.platform !== 'darwin') app.quit()
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})
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app.on(
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'activate',
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function() {
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// On macOS it's common to re-create a window in the app when the
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// dock icon is clicked and there are no other windows open.
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if (mainWindow === null) createWindow()
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})
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// In this file you can include the rest of your app's specific main process
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// code. You can also put them in separate files and require them here.
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