I have created an command recognition model and it was 85% accurate. when i run that model in my esp32s3 and inmp441 hardware it is always printing noise categori.(i have 3 category noise,sister,unknown).even i tried static buffer example and copied 16k raw feature from edge impulse live classifier. in live classifier for the same 16k raw sample it is 100% sure it is sister . but for the same 16k raw sample it is printing noise. whats wrong ?
Hi, @NAMAN_NAIK and thanks for posting!
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Question/Issue:
[Describe the question or issue in detail]
Project ID:
[Provide the project ID]
Context/Use case:
[Provide context or use case where the issue is encountered]
Steps Taken:
[Step 1]
[Step 2]
[Step 3]
Expected Outcome:
[Describe what you expected to happen]
Actual Outcome:
[Describe what actually happened]
Reproducibility:
[ ] Always
[ ] Sometimes
[ ] Rarely
Environment:
Platform: [e.g., Raspberry Pi, nRF9160 DK, etc.]
Build Environment Details: [e.g., Arduino IDE 1.8.19 ESP32 Core for Arduino 2.0.4]
OS Version: [e.g., Ubuntu 20.04, Windows 10]
Edge Impulse Version (Firmware): [e.g., 1.2.3]
To find out Edge Impulse Version:
if you have pre-compiled firmware: run edge-impulse-run-impulse --raw and type AT+INFO. Look for Edge Impulse version in the output.
if you have a library deployment: inside the unarchived deployment, open model-parameters/model_metadata.h and look for EI_STUDIO_VERSION_MAJOR, EI_STUDIO_VERSION_MINOR, EI_STUDIO_VERSION_PATCH
Edge Impulse CLI Version: [e.g., 1.5.0]
Project Version: [e.g., 1.0.0]
Custom Blocks / Impulse Configuration: [Describe custom blocks used or impulse configuration]
Logs/Attachments:
[Include any logs or screenshots that may help in diagnosing the issue]
Additional Information:
[Any other information that might be relevant]