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Hello, good morning. Thank you very much for your kind attention. I was trying to do an object detection with ML5.js and P5.JS using the objectDetector() command but with a model trained with teachable machine (https://teachablemachine.withgoogle.com/ ). the main question would be objectDirector() admits to use a trained model that is not from cocossd , since when trying to run the program that I have made it always calls the base trained model: "lite_mobilenet_v2". and not to the model that I previously trained. I searched the internet for examples of detection using objectDetector with a different model entering without cocossd. Or maybe I should use another training platform and not a teachable machine. If so, could you recommend one?
I attach the online codes in the p5.js editor.
1- This is the first test that I have done using objecDetector() detecting and counting people works fine and any other object that is inside the "lite_mobilenet_v2" data base. it will work fine. https://editor.p5js.org/cyber_99x/sketches/iFSGlj8kd
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The text was updated successfully, but these errors were encountered:
Hello, good morning. Thank you very much for your kind attention. I was trying to do an object detection with ML5.js and P5.JS using the objectDetector() command but with a model trained with teachable machine (https://teachablemachine.withgoogle.com/ ). the main question would be objectDirector() admits to use a trained model that is not from cocossd , since when trying to run the program that I have made it always calls the base trained model: "lite_mobilenet_v2". and not to the model that I previously trained. I searched the internet for examples of detection using objectDetector with a different model entering without cocossd. Or maybe I should use another training platform and not a teachable machine. If so, could you recommend one?
I attach the online codes in the p5.js editor.
1- This is the first test that I have done using objecDetector() detecting and counting people works fine and any other object that is inside the "lite_mobilenet_v2" data base. it will work fine. https://editor.p5js.org/cyber_99x/sketches/iFSGlj8kd
2- This is the code where I use my model trained with teachable machine and it never works, it never calls the new model trained with teachable machine. https://editor.p5js.org/cyber_99x/sketches/VwlowiYJv
→ Step 1: Describe the issue 📝
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→ Step 3: Share an example of the issue 🦄
Other relevant information, if applicable
→ Describe your setup 🦄
The text was updated successfully, but these errors were encountered: