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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,95 @@ | ||
| !(function(c) { | ||
| var s, e, t, r; | ||
| function n() { | ||
| return ( | ||
| (function() { | ||
| try { | ||
| var n = navigator.userAgent.match(/Chrome\/(\d+)\./); | ||
| return !!(n && 91 <= Number(n[1])); | ||
| } catch (n) { | ||
| return; | ||
| } | ||
| })() && | ||
| !/TESLA/.test(navigator.userAgent) && | ||
| 2 < navigator.hardwareConcurrency && | ||
| 'function' == typeof OffscreenCanvas | ||
| ); | ||
| } | ||
| function o(r, o) { | ||
| return new Promise(function(n, e) { | ||
| var t = new XMLHttpRequest(); | ||
| (t.responseType = o), | ||
| t.addEventListener( | ||
| 'load', | ||
| function() { | ||
| n(this.response); | ||
| }, | ||
| t | ||
| ), | ||
| (t.onerror = function(n) { | ||
| e(n); | ||
| }), | ||
| t.open('get', r, !0), | ||
| t.send(); | ||
| }); | ||
| } | ||
| function a(n) { | ||
| var e, | ||
| t, | ||
| r = new Uint8Array(n, 0, 12), | ||
| o = n.slice(12, 496936), | ||
| a = new Uint8Array(n, 496936, 32), | ||
| n = new Uint8Array(n, 496968, 87253); | ||
| s.postMessage({ | ||
| command: 'DOWNLOAD_JSON_FROM_MAIN_THREAD_OK', | ||
| data: o, | ||
| type: 'bin', | ||
| }), | ||
| (e = r), | ||
| (t = n), | ||
| c.crypto.subtle | ||
| .importKey('raw', a, 'AES-GCM', !0, ['encrypt', 'decrypt']) | ||
| .then(n => { | ||
| c.crypto.subtle.decrypt({ name: 'AES-GCM', iv: e }, n, t).then(n => { | ||
| n = new TextDecoder().decode(n); | ||
| s.postMessage({ | ||
| command: 'DOWNLOAD_JSON_FROM_MAIN_THREAD_OK', | ||
| data: n, | ||
| type: 'json', | ||
| }); | ||
| }); | ||
| }); | ||
| } | ||
| function i() { | ||
| var n = c.vbPath; | ||
| n && | ||
| ((t = n + '/vbbuffer.bin'), | ||
| (r = n + '/tf.min.js'), | ||
| o((e = n + '/vbPreloadWorker.js')) | ||
| .then(function(n) { | ||
| (s = new Worker( | ||
| c.URL.createObjectURL(new Blob(["wasmUrl = '" + e + "';" + n])), | ||
| {} | ||
| )), | ||
| o(t, 'arraybuffer') | ||
| .then(function(n) { | ||
| a(n); | ||
| }) | ||
| .catch(function(n) { | ||
| console.log(n); | ||
| }), | ||
| s.postMessage({ | ||
| command: 'DOWNLOAD_JSON_FROM_MAIN_THREAD_OK', | ||
| data: r, | ||
| type: 'js', | ||
| }), | ||
| (s.onmessage = function(n) { | ||
| n.data.command; | ||
| }); | ||
| }) | ||
| .catch(function(n) { | ||
| console.log(n); | ||
| })); | ||
| } | ||
| n() && i(); | ||
| })(window); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,57 @@ | ||
| !(function() { | ||
| var a, | ||
| o, | ||
| i, | ||
| f, | ||
| r, | ||
| d, | ||
| s = new Object(), | ||
| l = new Object(); | ||
| (l.load = function() { | ||
| return s; | ||
| }), | ||
| (l.save = function() {}), | ||
| self.addEventListener('message', function(e) { | ||
| e = e.data; | ||
| if ('DOWNLOAD_JSON_FROM_MAIN_THREAD_OK' === e.command) { | ||
| var t = e.data, | ||
| e = e.type; | ||
| if (!(i && f && r)) { | ||
| if ('json' == e) { | ||
| if ( | ||
| ((i = 1), | ||
| (a = JSON.parse(t)), | ||
| (s.modelTopology = a.modelTopology), | ||
| (s.format = a.format), | ||
| (s.generatedBy = a.generatedBy), | ||
| (s.convertedBy = a.convertedBy), | ||
| null != a.weightsManifest) | ||
| ) | ||
| for (const n of a.weightsManifest) s.weightSpecs = n.weights; | ||
| null != a.trainingConfig && (s.trainingConfig = a.trainingConfig), | ||
| null != a.userDefinedMetadata && | ||
| (s.userDefinedMetadata = a.userDefinedMetadata); | ||
| } else | ||
| 'bin' == e | ||
| ? ((f = 1), (s.weightData = t)) | ||
| : 'js' == e && ((r = 1), (d = t)); | ||
| i && | ||
| f && | ||
| r && | ||
| (importScripts(d), | ||
| tf.setBackend('webgl'), | ||
| tf | ||
| .loadGraphModel(l) | ||
| .then(function(e) { | ||
| o = e; | ||
| (e = new Float32Array(110592)), | ||
| (e = tf.tensor4d(e, [1, 144, 256, 3], 'float32')); | ||
| o.predict(e); | ||
| }) | ||
| .catch(function(e) { | ||
| console.log(e); | ||
| })); | ||
| } | ||
| } | ||
| }); | ||
| })(); |
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