From 4dce045f64d2573ad90b67a3ed921bb9938f97ec Mon Sep 17 00:00:00 2001
From: dido18 <davideneri18@gmail.com>
Date: Sat, 15 Nov 2025 23:49:36 +0100
Subject: [PATCH 1/2] WIP_ image

---
 indexai.html                                  |   61 +
 models/tm--image/metadata.json                |   15 +
 models/tm--image/model.json                   | 8185 +++++++++++++++++
 models/tm--image/weights.bin                  |  Bin 0 -> 2154432 bytes
 python/main.py                                |    9 +-
 .../src/extensions/tmachine_image/index.js    |  196 +
 .../scripts/patch-gui.js                      |    1 +
 7 files changed, 8466 insertions(+), 1 deletion(-)
 create mode 100644 indexai.html
 create mode 100644 models/tm--image/metadata.json
 create mode 100644 models/tm--image/model.json
 create mode 100644 models/tm--image/weights.bin
 create mode 100644 scratch-arduino-extensions/packages/scratch-vm/src/extensions/tmachine_image/index.js

diff --git a/indexai.html b/indexai.html
new file mode 100644
index 0000000..a63d5d3
--- /dev/null
+++ b/indexai.html
@@ -0,0 +1,61 @@
+<div>Teachable Machine Image Model</div>
+<button type="button" onclick="init()">Start</button>
+<div id="webcam-container"></div>
+<div id="label-container"></div>
+<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest/dist/tf.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/@teachablemachine/image@latest/dist/teachablemachine-image.min.js"></script>
+<script type="text/javascript">
+    // 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://192.168.1.39:7000/my-model/";
+
+    let model, webcam, labelContainer, maxPredictions;
+
+    // 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();
+
+        // 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"));
+        }
+    }
+
+
+    async function loop() {
+        webcam.update(); // update the webcam frame
+        await predict();
+        window.requestAnimationFrame(loop);
+    }
+
+    // run the webcam image through the image model
+    async function predict() {
+        // predict can take in an image, video or canvas html element
+        const prediction = await model.predict(webcam.canvas);
+        console.log(prediction);
+        for (let i = 0; i < maxPredictions; i++) {
+            const classPrediction =
+                prediction[i].className + ": " + prediction[i].probability.toFixed(2);
+            labelContainer.childNodes[i].innerHTML = classPrediction;
+        }
+    }
+</script>
diff --git a/models/tm--image/metadata.json b/models/tm--image/metadata.json
new file mode 100644
index 0000000..95d6622
--- /dev/null
+++ b/models/tm--image/metadata.json
@@ -0,0 +1,15 @@
+{
+    "tfjsVersion": "1.7.4",
+    "tmVersion": "2.4.10",
+    "packageVersion": "0.8.4-alpha2",
+    "packageName": "@teachablemachine/image",
+    "timeStamp": "2025-11-15T13:33:10.951Z",
+    "userMetadata": {},
+    "modelName": "tm-my-image-model",
+    "labels": [
+        "ok",
+        "stop",
+        "unknown"
+    ],
+    "imageSize": 224
+}
\ No newline at end of file
diff --git a/models/tm--image/model.json b/models/tm--image/model.json
new file mode 100644
index 0000000..278831a
--- /dev/null
+++ b/models/tm--image/model.json
@@ -0,0 +1,8185 @@
+{
+    "modelTopology": {
+        "class_name": "Sequential",
+        "config": {
+            "name": "sequential_8",
+            "layers": [
+                {
+                    "class_name": "Sequential",
+                    "config": {
+                        "name": "sequential_5",
+                        "layers": [
+                            {
+                                "class_name": "Model",
+                                "config": {
+                                    "name": "model2",
+                                    "layers": [
+                                        {
+                                            "name": "input_1",
+                                            "class_name": "InputLayer",
+                                            "config": {
+                                                "batch_input_shape": [
+                                                    null,
+                                                    224,
+                                                    224,
+                                                    3
+                                                ],
+                                                "dtype": "float32",
+                                                "sparse": false,
+                                                "name": "input_1"
+                                            },
+                                            "inbound_nodes": []
+                                        },
+                                        {
+                                            "name": "Conv1_pad",
+                                            "class_name": "ZeroPadding2D",
+                                            "config": {
+                                                "padding": [
+                                                    [
+                                                        0,
+                                                        1
+                                                    ],
+                                                    [
+                                                        0,
+                                                        1
+                                                    ]
+                                                ],
+                                                "data_format": "channels_last",
+                                                "name": "Conv1_pad",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "input_1",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "Conv1",
+                                            "class_name": "Conv2D",
+                                            "config": {
+                                                "filters": 16,
+                                                "kernel_initializer": {
+                                                    "class_name": "VarianceScaling",
+                                                    "config": {
+                                                        "scale": 1,
+                                                        "mode": "fan_avg",
+                                                        "distribution": "uniform",
+                                                        "seed": null
+                                                    }
+                                                },
+                                                "kernel_regularizer": null,
+                                                "kernel_constraint": null,
+                                                "kernel_size": [
+                                                    3,
+                                                    3
+                                                ],
+                                                "strides": [
+                                                    2,
+                                                    2
+                                                ],
+                                                "padding": "valid",
+                                                "data_format": "channels_last",
+                                                "dilation_rate": [
+                                                    1,
+                                                    1
+                                                ],
+                                                "activation": "linear",
+                                                "use_bias": false,
+                                                "bias_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "bias_regularizer": null,
+                                                "activity_regularizer": null,
+                                                "bias_constraint": null,
+                                                "name": "Conv1",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "Conv1_pad",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "bn_Conv1",
+                                            "class_name": "BatchNormalization",
+                                            "config": {
+                                                "axis": -1,
+                                                "momentum": 0.999,
+                                                "epsilon": 0.001,
+                                                "center": true,
+                                                "scale": true,
+                                                "beta_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "gamma_initializer": {
+                                                    "class_name": "Ones",
+                                                    "config": {}
+                                                },
+                                                "moving_mean_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "moving_variance_initializer": {
+                                                    "class_name": "Ones",
+                                                    "config": {}
+                                                },
+                                                "beta_regularizer": null,
+                                                "gamma_regularizer": null,
+                                                "beta_constraint": null,
+                                                "gamma_constraint": null,
+                                                "name": "bn_Conv1",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "Conv1",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "Conv1_relu",
+                                            "class_name": "ReLU",
+                                            "config": {
+                                                "max_value": 6,
+                                                "name": "Conv1_relu",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "bn_Conv1",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "expanded_conv_depthwise",
+                                            "class_name": "DepthwiseConv2D",
+                                            "config": {
+                                                "kernel_size": [
+                                                    3,
+                                                    3
+                                                ],
+                                                "strides": [
+                                                    1,
+                                                    1
+                                                ],
+                                                "padding": "same",
+                                                "data_format": "channels_last",
+                                                "dilation_rate": [
+                                                    1,
+                                                    1
+                                                ],
+                                                "activation": "linear",
+                                                "use_bias": false,
+                                                "bias_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "bias_regularizer": null,
+                                                "activity_regularizer": null,
+                                                "bias_constraint": null,
+                                                "name": "expanded_conv_depthwise",
+                                                "trainable": true,
+                                                "depth_multiplier": 1,
+                                                "depthwise_initializer": {
+                                                    "class_name": "VarianceScaling",
+                                                    "config": {
+                                                        "scale": 1,
+                                                        "mode": "fan_avg",
+                                                        "distribution": "uniform",
+                                                        "seed": null
+                                                    }
+                                                },
+                                                "depthwise_regularizer": null,
+                                                "depthwise_constraint": null
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "Conv1_relu",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "expanded_conv_depthwise_BN",
+                                            "class_name": "BatchNormalization",
+                                            "config": {
+                                                "axis": -1,
+                                                "momentum": 0.999,
+                                                "epsilon": 0.001,
+                                                "center": true,
+                                                "scale": true,
+                                                "beta_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "gamma_initializer": {
+                                                    "class_name": "Ones",
+                                                    "config": {}
+                                                },
+                                                "moving_mean_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "moving_variance_initializer": {
+                                                    "class_name": "Ones",
+                                                    "config": {}
+                                                },
+                                                "beta_regularizer": null,
+                                                "gamma_regularizer": null,
+                                                "beta_constraint": null,
+                                                "gamma_constraint": null,
+                                                "name": "expanded_conv_depthwise_BN",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "expanded_conv_depthwise",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "expanded_conv_depthwise_relu",
+                                            "class_name": "ReLU",
+                                            "config": {
+                                                "max_value": 6,
+                                                "name": "expanded_conv_depthwise_relu",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "expanded_conv_depthwise_BN",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "expanded_conv_project",
+                                            "class_name": "Conv2D",
+                                            "config": {
+                                                "filters": 8,
+                                                "kernel_initializer": {
+                                                    "class_name": "VarianceScaling",
+                                                    "config": {
+                                                        "scale": 1,
+                                                        "mode": "fan_avg",
+                                                        "distribution": "uniform",
+                                                        "seed": null
+                                                    }
+                                                },
+                                                "kernel_regularizer": null,
+                                                "kernel_constraint": null,
+                                                "kernel_size": [
+                                                    1,
+                                                    1
+                                                ],
+                                                "strides": [
+                                                    1,
+                                                    1
+                                                ],
+                                                "padding": "same",
+                                                "data_format": "channels_last",
+                                                "dilation_rate": [
+                                                    1,
+                                                    1
+                                                ],
+                                                "activation": "linear",
+                                                "use_bias": false,
+                                                "bias_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "bias_regularizer": null,
+                                                "activity_regularizer": null,
+                                                "bias_constraint": null,
+                                                "name": "expanded_conv_project",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "expanded_conv_depthwise_relu",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "expanded_conv_project_BN",
+                                            "class_name": "BatchNormalization",
+                                            "config": {
+                                                "axis": -1,
+                                                "momentum": 0.999,
+                                                "epsilon": 0.001,
+                                                "center": true,
+                                                "scale": true,
+                                                "beta_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "gamma_initializer": {
+                                                    "class_name": "Ones",
+                                                    "config": {}
+                                                },
+                                                "moving_mean_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "moving_variance_initializer": {
+                                                    "class_name": "Ones",
+                                                    "config": {}
+                                                },
+                                                "beta_regularizer": null,
+                                                "gamma_regularizer": null,
+                                                "beta_constraint": null,
+                                                "gamma_constraint": null,
+                                                "name": "expanded_conv_project_BN",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "expanded_conv_project",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "block_1_expand",
+                                            "class_name": "Conv2D",
+                                            "config": {
+                                                "filters": 48,
+                                                "kernel_initializer": {
+                                                    "class_name": "VarianceScaling",
+                                                    "config": {
+                                                        "scale": 1,
+                                                        "mode": "fan_avg",
+                                                        "distribution": "uniform",
+                                                        "seed": null
+                                                    }
+                                                },
+                                                "kernel_regularizer": null,
+                                                "kernel_constraint": null,
+                                                "kernel_size": [
+                                                    1,
+                                                    1
+                                                ],
+                                                "strides": [
+                                                    1,
+                                                    1
+                                                ],
+                                                "padding": "same",
+                                                "data_format": "channels_last",
+                                                "dilation_rate": [
+                                                    1,
+                                                    1
+                                                ],
+                                                "activation": "linear",
+                                                "use_bias": false,
+                                                "bias_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "bias_regularizer": null,
+                                                "activity_regularizer": null,
+                                                "bias_constraint": null,
+                                                "name": "block_1_expand",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "expanded_conv_project_BN",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "block_1_expand_BN",
+                                            "class_name": "BatchNormalization",
+                                            "config": {
+                                                "axis": -1,
+                                                "momentum": 0.999,
+                                                "epsilon": 0.001,
+                                                "center": true,
+                                                "scale": true,
+                                                "beta_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "gamma_initializer": {
+                                                    "class_name": "Ones",
+                                                    "config": {}
+                                                },
+                                                "moving_mean_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "moving_variance_initializer": {
+                                                    "class_name": "Ones",
+                                                    "config": {}
+                                                },
+                                                "beta_regularizer": null,
+                                                "gamma_regularizer": null,
+                                                "beta_constraint": null,
+                                                "gamma_constraint": null,
+                                                "name": "block_1_expand_BN",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "block_1_expand",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "block_1_expand_relu",
+                                            "class_name": "ReLU",
+                                            "config": {
+                                                "max_value": 6,
+                                                "name": "block_1_expand_relu",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "block_1_expand_BN",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "block_1_pad",
+                                            "class_name": "ZeroPadding2D",
+                                            "config": {
+                                                "padding": [
+                                                    [
+                                                        0,
+                                                        1
+                                                    ],
+                                                    [
+                                                        0,
+                                                        1
+                                                    ]
+                                                ],
+                                                "data_format": "channels_last",
+                                                "name": "block_1_pad",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "block_1_expand_relu",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "block_1_depthwise",
+                                            "class_name": "DepthwiseConv2D",
+                                            "config": {
+                                                "kernel_size": [
+                                                    3,
+                                                    3
+                                                ],
+                                                "strides": [
+                                                    2,
+                                                    2
+                                                ],
+                                                "padding": "valid",
+                                                "data_format": "channels_last",
+                                                "dilation_rate": [
+                                                    1,
+                                                    1
+                                                ],
+                                                "activation": "linear",
+                                                "use_bias": false,
+                                                "bias_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "bias_regularizer": null,
+                                                "activity_regularizer": null,
+                                                "bias_constraint": null,
+                                                "name": "block_1_depthwise",
+                                                "trainable": true,
+                                                "depth_multiplier": 1,
+                                                "depthwise_initializer": {
+                                                    "class_name": "VarianceScaling",
+                                                    "config": {
+                                                        "scale": 1,
+                                                        "mode": "fan_avg",
+                                                        "distribution": "uniform",
+                                                        "seed": null
+                                                    }
+                                                },
+                                                "depthwise_regularizer": null,
+                                                "depthwise_constraint": null
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "block_1_pad",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "block_1_depthwise_BN",
+                                            "class_name": "BatchNormalization",
+                                            "config": {
+                                                "axis": -1,
+                                                "momentum": 0.999,
+                                                "epsilon": 0.001,
+                                                "center": true,
+                                                "scale": true,
+                                                "beta_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "gamma_initializer": {
+                                                    "class_name": "Ones",
+                                                    "config": {}
+                                                },
+                                                "moving_mean_initializer": {
+                                                    "class_name": "Zeros",
+                                                    "config": {}
+                                                },
+                                                "moving_variance_initializer": {
+                                                    "class_name": "Ones",
+                                                    "config": {}
+                                                },
+                                                "beta_regularizer": null,
+                                                "gamma_regularizer": null,
+                                                "beta_constraint": null,
+                                                "gamma_constraint": null,
+                                                "name": "block_1_depthwise_BN",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "block_1_depthwise",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "block_1_depthwise_relu",
+                                            "class_name": "ReLU",
+                                            "config": {
+                                                "max_value": 6,
+                                                "name": "block_1_depthwise_relu",
+                                                "trainable": true
+                                            },
+                                            "inbound_nodes": [
+                                                [
+                                                    [
+                                                        "block_1_depthwise_BN",
+                                                        0,
+                                                        0,
+                                                        {}
+                                                    ]
+                                                ]
+                                            ]
+                                        },
+                                        {
+                                            "name": "block_1_project",
+                                            "class_name": "Conv2D",
+                                            "config": {
+                                                "filters": 8,
+                                                "kernel_initializer": {
+                                                    "class_name": "VarianceScaling",
+                                                    "config": {
+                                                        "scale": 1,
+                                                        "mode": "fan_avg",
+                                                        "distribution": "uniform",
+                                                        "seed": null
+                                                    }
+                                                },
+                                                "kernel_regularizer": null,
+                                                "kernel_constraint": null,
+                                                "kernel_size": [
+                                                    1,
+                                                    1
+                                                ],
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HcmV?d00001

diff --git a/python/main.py b/python/main.py
index 59513c8..586eeca 100644
--- a/python/main.py
+++ b/python/main.py
@@ -1,12 +1,13 @@
 from arduino.app_utils import App, Bridge
 from arduino.app_bricks.web_ui import WebUI
 from arduino.app_bricks.object_detection import ObjectDetection
+from fastapi.responses import FileResponse
 import time
 import base64
+import os
 
 object_detection = ObjectDetection()
 
-
 def on_matrix_draw(_, data):
     print(f"Received frame to draw on matrix: {data}")
     # from 5x5 to 8x13 matrix
@@ -86,6 +87,12 @@ def on_modulino_button_pressed(btn):
     ui.send_message("modulino_buttons_pressed", {"btn": btn})
 
 
+
 Bridge.provide("modulino_button_pressed", on_modulino_button_pressed)
 
+
+ui.expose_api("GET", "/my-model/model.json", lambda: FileResponse(os.path.join("/app/assets/models/tm-my-image-model", "model.json"), headers={"Cache-Control": "no-store"}))
+ui.expose_api("GET", "/my-model/metadata.json", lambda: FileResponse(os.path.join("/app/assets/models/tm-my-image-model", "metadata.json"), headers={"Cache-Control": "no-store"}))
+ui.expose_api("GET", "/my-model/weights.bin", lambda: FileResponse(os.path.join("/app/assets/models/tm-my-image-model", "weights.bin"), headers={"Cache-Control": "no-store"}))
+
 App.run()
diff --git a/scratch-arduino-extensions/packages/scratch-vm/src/extensions/tmachine_image/index.js b/scratch-arduino-extensions/packages/scratch-vm/src/extensions/tmachine_image/index.js
new file mode 100644
index 0000000..480f29a
--- /dev/null
+++ b/scratch-arduino-extensions/packages/scratch-vm/src/extensions/tmachine_image/index.js
@@ -0,0 +1,196 @@
+const BlockType = require("../../../../../../scratch-editor/packages/scratch-vm/src/extension-support/block-type");
+const ArgumentType = require(
+  "../../../../../../scratch-editor/packages/scratch-vm/src/extension-support/argument-type",
+);
+
+const Video = require("../../../../../../scratch-editor/packages/scratch-vm/src/io/video");
+
+
+// TODO add icons
+const iconURI = "";
+const menuIconURI = "";
+
+class TeachableMachineImage {
+  constructor(runtime) {
+    this.runtime = runtime;
+
+    this.modelLabels = [];
+    this.model = null;
+    this.predictions = [];
+    this.isModelLoaded = false;
+    this.modelURL = "https://192.168.1.39:7000/my-model/";
+
+    this.fetchModelLabels();
+    this.loadModel();
+  }
+
+  async fetchModelLabels() {
+    try {
+      const response = await fetch('https://192.168.1.39:7000/my-model/metadata.json');
+      const metadata = await response.json();
+      this.modelLabels = metadata.labels || [];
+      console.log('Fetched model labels:', this.modelLabels);
+    } catch (error) {
+      console.error('Error fetching model labels:', error);
+      this.modelLabels = []; // fallback
+    }
+  }
+
+  async loadModel() {
+    try {
+      // Load TensorFlow.js and Teachable Machine library
+      if (!window.tf) {
+        await this.loadScript('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest/dist/tf.min.js');
+      }
+      if (!window.tmImage) {
+        await this.loadScript('https://cdn.jsdelivr.net/npm/@teachablemachine/image@latest/dist/teachablemachine-image.min.js');
+      }
+
+      const modelURL = this.modelURL + "model.json";
+      const metadataURL = this.modelURL + "metadata.json";
+
+      this.model = await tmImage.load(modelURL, metadataURL);
+      this.isModelLoaded = true;
+      console.log('Teachable Machine model loaded successfully');
+
+    } catch (error) {
+      console.error('Error loading Teachable Machine model:', error);
+    }
+  }
+
+  loadScript(src) {
+    return new Promise((resolve, reject) => {
+      const script = document.createElement('script');
+      script.src = src;
+      script.onload = resolve;
+      script.onerror = reject;
+      document.head.appendChild(script);
+    });
+  }
+
+  startPredictionLoop() {
+    if (!this.isModelLoaded) {
+        console.log("Model not loaded");
+        return;
+    };
+
+    const predict = async () => {
+      try {
+         const canvas = this.runtime.ioDevices.video.getFrame({
+        format: Video.FORMAT_CANVAS,
+        dimensions: [480, 360], // the same as the stage resolution
+    });
+  if (!canvas) {
+    console.log("No canvas available from video frame.");
+    return;
+  }
+    const prediction = await this.model.predict(canvas);
+    this.predictions = prediction;
+    console.log("preditions", predictions);
+
+      } catch (error) {
+        console.error('Prediction error:', error);
+      }
+
+      // Continue loop
+      setTimeout(predict, 100); // Predict every 100ms
+    };
+
+    predict();
+  }
+
+  getConfidence(className) {
+    if (!this.predictions) return 0;
+    const prediction = this.predictions.find(p => p.className === className);
+    return prediction ? prediction.probability : 0;
+  }
+}
+
+TeachableMachineImage.prototype.getInfo = function() {
+  return {
+    id: "TeachableMachineImage",
+    name: "Teachable Machine Image",
+    menuIconURI: menuIconURI,
+    blockIconURI: iconURI,
+    blocks: [
+         {
+        opcode: "startDetectionLoop",
+        blockType: BlockType.COMMAND,
+        text: "start detection",
+        func: "startDetectionLoop",
+        arguments: {},
+      },
+      {
+        opcode: "whenObjectDetected",
+        blockType: BlockType.HAT,
+        text: "when [OBJECT] detected with confidence > [THRESHOLD]%",
+        func: "whenObjectDetected",
+        arguments: {
+          OBJECT: {
+            type: ArgumentType.STRING,
+            menu: 'modelLabels',
+            defaultValue: 'ok',
+          },
+          THRESHOLD: {
+            type: ArgumentType.NUMBER,
+            defaultValue: 50
+          }
+        },
+      },
+      {
+        opcode: "isObjectDetected",
+        blockType: BlockType.BOOLEAN,
+        text: "is [OBJECT] detected with confidence > [THRESHOLD]%",
+        func: "isObjectDetected",
+        arguments: {
+          OBJECT: {
+            type: ArgumentType.STRING,
+            menu: "modelLabels",
+            defaultValue: "ok",
+          },
+          THRESHOLD: {
+            type: ArgumentType.NUMBER,
+            defaultValue: 50
+          }
+        },
+      },
+      {
+        opcode: "getConfidence",
+        blockType: BlockType.REPORTER,
+        text: "confidence of [OBJECT]",
+        func: "getConfidenceBlock",
+        arguments: {
+          OBJECT: {
+            type: ArgumentType.STRING,
+            menu: "modelLabels",
+            defaultValue: "ok",
+          },
+        },
+      },
+    ],
+    menus: {
+      modelLabels: 'getModelLabels'
+    },
+  };
+};
+
+TeachableMachineImage.prototype.getModelLabels = function() {
+  return this.modelLabels.length > 0 ? this.modelLabels : ["ok", "stop", "unknown"];
+};
+
+TeachableMachineImage.prototype.whenObjectDetected = function(args) {
+  const confidence = this.getConfidence(args.OBJECT);
+  return confidence > (args.THRESHOLD / 100);
+};
+
+TeachableMachineImage.prototype.isObjectDetected = function(args) {
+  const confidence = this.getConfidence(args.OBJECT);
+  return confidence > (args.THRESHOLD / 100);
+};
+
+TeachableMachineImage.prototype.startDetectionLoop = function(args) {
+this.runtime.ioDevices.video.enableVideo();
+this.startPredictionLoop()
+};
+
+module.exports = TeachableMachineImage;
diff --git a/scratch-arduino-extensions/scripts/patch-gui.js b/scratch-arduino-extensions/scripts/patch-gui.js
index 5487a7b..cbc6d9e 100644
--- a/scratch-arduino-extensions/scripts/patch-gui.js
+++ b/scratch-arduino-extensions/scripts/patch-gui.js
@@ -5,6 +5,7 @@ const extensions = [
   { name: "ArduinoBasics", directory: "arduino_basics" },
   { name: "ArduinoModulino", directory: "arduino_modulino" },
   { name: "ArduinoObjectDetection", directory: "arduino_object_detection" },
+  { name: "TeachableMachineImage", directory: "tmachine_image" },
 ];
 
 // base dir is the 'scratch-arduino-extensions' folder

From ec1f61a6917828d284956ed8f8f6e05baef387ae Mon Sep 17 00:00:00 2001
From: dido18 <davideneri18@gmail.com>
Date: Sun, 16 Nov 2025 20:54:48 +0100
Subject: [PATCH 2/2] feat: enhance model file serving with CORS headers and
 refactor fetch logic

---
 python/main.py                                | 21 ++++-
 .../src/extensions/tmachine_image/index.js    | 83 ++++++++++---------
 2 files changed, 63 insertions(+), 41 deletions(-)

diff --git a/python/main.py b/python/main.py
index 586eeca..cd7386d 100644
--- a/python/main.py
+++ b/python/main.py
@@ -8,6 +8,7 @@
 
 object_detection = ObjectDetection()
 
+
 def on_matrix_draw(_, data):
     print(f"Received frame to draw on matrix: {data}")
     # from 5x5 to 8x13 matrix
@@ -87,12 +88,24 @@ def on_modulino_button_pressed(btn):
     ui.send_message("modulino_buttons_pressed", {"btn": btn})
 
 
-
 Bridge.provide("modulino_button_pressed", on_modulino_button_pressed)
 
 
-ui.expose_api("GET", "/my-model/model.json", lambda: FileResponse(os.path.join("/app/assets/models/tm-my-image-model", "model.json"), headers={"Cache-Control": "no-store"}))
-ui.expose_api("GET", "/my-model/metadata.json", lambda: FileResponse(os.path.join("/app/assets/models/tm-my-image-model", "metadata.json"), headers={"Cache-Control": "no-store"}))
-ui.expose_api("GET", "/my-model/weights.bin", lambda: FileResponse(os.path.join("/app/assets/models/tm-my-image-model", "weights.bin"), headers={"Cache-Control": "no-store"}))
+def serve_model_file(filepath):
+    """Serve model files with CORS headers"""
+    return FileResponse(
+        os.path.join("/app/assets/models/tm-my-image-model", filepath),
+        headers={
+            "Cache-Control": "no-store",
+            "Access-Control-Allow-Origin": "*",
+            "Access-Control-Allow-Methods": "GET, POST, OPTIONS",
+            "Access-Control-Allow-Headers": "*",
+        },
+    )
+
+
+ui.expose_api("GET", "/my-model/model.json", lambda: serve_model_file("model.json"))
+ui.expose_api("GET", "/my-model/metadata.json", lambda: serve_model_file("metadata.json"))
+ui.expose_api("GET", "/my-model/weights.bin", lambda: serve_model_file("weights.bin"))
 
 App.run()
diff --git a/scratch-arduino-extensions/packages/scratch-vm/src/extensions/tmachine_image/index.js b/scratch-arduino-extensions/packages/scratch-vm/src/extensions/tmachine_image/index.js
index 480f29a..8883eda 100644
--- a/scratch-arduino-extensions/packages/scratch-vm/src/extensions/tmachine_image/index.js
+++ b/scratch-arduino-extensions/packages/scratch-vm/src/extensions/tmachine_image/index.js
@@ -5,7 +5,6 @@ const ArgumentType = require(
 
 const Video = require("../../../../../../scratch-editor/packages/scratch-vm/src/io/video");
 
-
 // TODO add icons
 const iconURI = "";
 const menuIconURI = "";
@@ -26,12 +25,12 @@ class TeachableMachineImage {
 
   async fetchModelLabels() {
     try {
-      const response = await fetch('https://192.168.1.39:7000/my-model/metadata.json');
+      const response = await fetch(this.modelURL + "/metadata.json");
       const metadata = await response.json();
       this.modelLabels = metadata.labels || [];
-      console.log('Fetched model labels:', this.modelLabels);
+      console.log("Fetched model labels:", this.modelLabels);
     } catch (error) {
-      console.error('Error fetching model labels:', error);
+      console.error("Error fetching model labels:", error);
       this.modelLabels = []; // fallback
     }
   }
@@ -40,10 +39,12 @@ class TeachableMachineImage {
     try {
       // Load TensorFlow.js and Teachable Machine library
       if (!window.tf) {
-        await this.loadScript('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest/dist/tf.min.js');
+        await this.loadScript("https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest/dist/tf.min.js");
       }
       if (!window.tmImage) {
-        await this.loadScript('https://cdn.jsdelivr.net/npm/@teachablemachine/image@latest/dist/teachablemachine-image.min.js');
+        await this.loadScript(
+          "https://cdn.jsdelivr.net/npm/@teachablemachine/image@latest/dist/teachablemachine-image.min.js",
+        );
       }
 
       const modelURL = this.modelURL + "model.json";
@@ -51,16 +52,15 @@ class TeachableMachineImage {
 
       this.model = await tmImage.load(modelURL, metadataURL);
       this.isModelLoaded = true;
-      console.log('Teachable Machine model loaded successfully');
-
+      console.log("Teachable Machine model loaded successfully");
     } catch (error) {
-      console.error('Error loading Teachable Machine model:', error);
+      console.error("Error loading Teachable Machine model:", error);
     }
   }
 
   loadScript(src) {
     return new Promise((resolve, reject) => {
-      const script = document.createElement('script');
+      const script = document.createElement("script");
       script.src = src;
       script.onload = resolve;
       script.onerror = reject;
@@ -70,26 +70,25 @@ class TeachableMachineImage {
 
   startPredictionLoop() {
     if (!this.isModelLoaded) {
-        console.log("Model not loaded");
-        return;
-    };
+      console.log("Model not loaded");
+      return;
+    }
 
     const predict = async () => {
       try {
-         const canvas = this.runtime.ioDevices.video.getFrame({
-        format: Video.FORMAT_CANVAS,
-        dimensions: [480, 360], // the same as the stage resolution
-    });
-  if (!canvas) {
-    console.log("No canvas available from video frame.");
-    return;
-  }
-    const prediction = await this.model.predict(canvas);
-    this.predictions = prediction;
-    console.log("preditions", predictions);
-
+        const canvas = this.runtime.ioDevices.video.getFrame({
+          format: Video.FORMAT_CANVAS,
+          dimensions: [480, 360], // the same as the stage resolution
+        });
+        if (!canvas) {
+          console.log("No canvas available from video frame.");
+          return;
+        }
+        const prediction = await this.model.predict(canvas);
+        console.log("preditions", prediction);
+        this.predictions = prediction;
       } catch (error) {
-        console.error('Prediction error:', error);
+        console.error("Prediction error:", error);
       }
 
       // Continue loop
@@ -113,7 +112,7 @@ TeachableMachineImage.prototype.getInfo = function() {
     menuIconURI: menuIconURI,
     blockIconURI: iconURI,
     blocks: [
-         {
+      {
         opcode: "startDetectionLoop",
         blockType: BlockType.COMMAND,
         text: "start detection",
@@ -128,13 +127,13 @@ TeachableMachineImage.prototype.getInfo = function() {
         arguments: {
           OBJECT: {
             type: ArgumentType.STRING,
-            menu: 'modelLabels',
-            defaultValue: 'ok',
+            menu: "modelLabels",
+            defaultValue: "ok",
           },
           THRESHOLD: {
             type: ArgumentType.NUMBER,
-            defaultValue: 50
-          }
+            defaultValue: 50,
+          },
         },
       },
       {
@@ -150,15 +149,15 @@ TeachableMachineImage.prototype.getInfo = function() {
           },
           THRESHOLD: {
             type: ArgumentType.NUMBER,
-            defaultValue: 50
-          }
+            defaultValue: 50,
+          },
         },
       },
       {
         opcode: "getConfidence",
         blockType: BlockType.REPORTER,
         text: "confidence of [OBJECT]",
-        func: "getConfidenceBlock",
+        func: "getConfidence",
         arguments: {
           OBJECT: {
             type: ArgumentType.STRING,
@@ -169,7 +168,7 @@ TeachableMachineImage.prototype.getInfo = function() {
       },
     ],
     menus: {
-      modelLabels: 'getModelLabels'
+      modelLabels: "getModelLabels",
     },
   };
 };
@@ -188,9 +187,19 @@ TeachableMachineImage.prototype.isObjectDetected = function(args) {
   return confidence > (args.THRESHOLD / 100);
 };
 
+TeachableMachineImage.prototype.getConfidence = function(args) {
+  if (!this.predictions || this.predictions.length === 0) return 0;
+
+  const prediction = this.predictions.find(p => p.className === args.OBJECT);
+  const confidence = prediction ? Math.round(prediction.probability * 100) : 0;
+
+  console.log("get confidence for", args.OBJECT, "=", confidence + "%");
+  return confidence;
+};
+
 TeachableMachineImage.prototype.startDetectionLoop = function(args) {
-this.runtime.ioDevices.video.enableVideo();
-this.startPredictionLoop()
+  this.runtime.ioDevices.video.enableVideo();
+  this.startPredictionLoop();
 };
 
 module.exports = TeachableMachineImage;