Merge branch 'model' into 'master'

Model

update seconde model. training with scraped web picture

See merge request !5

@@ -164,43 +164,40 @@
     <script src="https://cdn.jsdelivr.net/npm/@teachablemachine/image@0.8/dist/teachablemachine-image.min.js"></script>
     <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
     <script type="text/javascript">
-    // More API functions here:
-    // https://github.com/googlecreativelab/teachablemachine-community/tree/master/libraries/image
+        // More API functions here:
+        // https://github.com/googlecreativelab/teachablemachine-community/tree/master/libraries/image
 
-    // the link to your model provided by Teachable Machine export panel
-    const URL = "https://teachablemachine.withgoogle.com/models/ujJHV9bKh/";
-    
-    let model, webcam, labelContainer, maxPredictions;
+        // the link to your model provided by Teachable Machine export panel
+        const URL = "https://teachablemachine.withgoogle.com/models/ujJHV9bKh/";
 
-    //predic이전 값을 기억해주는 전역변수. -999로 초기화.
-    var last_result_predict=-999;
+        let model, webcam, labelContainer, maxPredictions;
 
-    // Load the image model and setup the webcam
-    window.onload = async function init() {
-        const modelURL = URL + "model.json";
-        const metadataURL = URL + "metadata.json";
+        // Load the image model and setup the webcam
+        async function init() {
+            const modelURL = URL + "model.json";
+            const metadataURL = URL + "metadata.json";
 
-        // load the model and metadata
-        // Refer to tmImage.loadFromFiles() in the API to support files from a file picker
-        // or files from your local hard drive
-        // Note: the pose library adds "tmImage" object to your window (window.tmImage)
-        model = await tmImage.load(modelURL, metadataURL);
-        maxPredictions = model.getTotalClasses();
+            // load the model and metadata
+            // Refer to tmImage.loadFromFiles() in the API to support files from a file picker
+            // or files from your local hard drive
+            // Note: the pose library adds "tmImage" object to your window (window.tmImage)
+            model = await tmImage.load(modelURL, metadataURL);
+            maxPredictions = model.getTotalClasses();
 
-        // Convenience function to setup a webcam
-        const flip = true; // whether to flip the webcam
-        webcam = new tmImage.Webcam(550, 550, flip); // width, height, flip
-        await webcam.setup(); // request access to the webcam
-        await webcam.play();
-        window.requestAnimationFrame(loop);
+            // Convenience function to setup a webcam
+            const flip = true; // whether to flip the webcam
+            webcam = new tmImage.Webcam(200, 200, flip); // width, height, flip
+            await webcam.setup(); // request access to the webcam
+            await webcam.play();
+            window.requestAnimationFrame(loop);
 
-        // append elements to the DOM
-        document.getElementById("webcam-container").appendChild(webcam.canvas);
-        labelContainer = document.getElementById("label-container");
-        for (let i = 0; i < maxPredictions; i++) { // and class labels
-            labelContainer.appendChild(document.createElement("div"));
+            // append elements to the DOM
+            document.getElementById("webcam-container").appendChild(webcam.canvas);
+            labelContainer = document.getElementById("label-container");
+            for (let i = 0; i < maxPredictions; i++) { // and class labels
+                labelContainer.appendChild(document.createElement("div"));
+            }
         }
-    }
 
     async function loop() {
         webcam.update(); // update the webcam frame