TM2Scratch connects Google Teachable Machine 2 with Scratch 3. You can use image, audio recognition on Scratch project (pose recognition to be released in near future).
-
On Google Teachable Machine 2 website, create an image classification model and upload it.
-
Copy the sharable link.
-
Open http://champierre.github.io/tm2scratch on Chrome browser.
-
Open "Choose an Extension" window and select "TM2Scratch".
-
Paste the shareble link into the text field of "image classification model URL" block.
- You can use the image recognition results with "when received image label" blocks.
-
On Google Teachable Machine website, create a sound classification model and upload it.
-
Copy the sharable link.
-
Open http://champierre.github.io/tm2scratch on Chrome browser.
-
Open "Choose an Extension" window and select "TM2Scratch".
-
Paste the shareble link into the text field of "sound classification model URL" block.
- You can use the sound recognition results with "when received sound label" blocks.
-
Setup LLK/scratch-gui on your computer.
% git clone git@github.com:LLK/scratch-gui.git % cd scratch-gui % npm install -
In scratch-gui folder, clone TM2Scratch. You will have tm2scratch folder under scratch-gui.
% git clone git@github.com:champierre/tm2scratch.git -
Run the install script.
% sh tm2scratch/install.sh -
Run Scratch, then go to http://localhost:8601/.
% npm start