Read the statement by Michael Teeuw here.
MMM-Facial-Recognition-Tools error
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Hello everyone,
I have been trying for weeks to get the facial recognition to work with my magic mirror. I have searched this forum and google but I can’t quite seem to find an answer to my problem. Here is the error I get when I’m trying to test it:
[‘Angel’]
Using FACE_ALGORITM: 1
Loading training data…
Training data loaded!
Cropping…
Crop: [[ 30 30 31 …, 148 143 136]
[ 30 32 32 …, 145 143 136]
[ 32 32 31 …, 144 144 135]
…,
[238 206 164 …, 200 206 179]
[240 227 184 …, 199 210 181]
[240 240 206 …, 199 212 193]]
OpenCV Error: Bad argument (This LBPH model is not computed yet. Did you call the train method?) in predict, file /home/pi/opencv_contrib-3.3.0/modules/face/src/lbph_faces.cpp, line 396
Traceback (most recent call last):
File “facerecognition.py”, line 83, in
label, confidence = model.predict(crop)
cv2.error: /home/pi/opencv_contrib-3.3.0/modules/face/src/lbph_faces.cpp:396: error: (-5) This LBPH model is not computed yet. Did you call the train method? in function predictI have trained the LBPH model multiple times using .jpg’s as well as using the camera on my own face. This is what I’m running:
- Raspberry PI 3
- Raspberry pi cam
- OpenCV-3.3.0
- Python 2.7 (I also have Python 3 installed)
- Electron 1.7.9
- Node 8.9.1
- npm 5.6.0
If anyone has any idea how I can better troubleshoot this error through logs or any other means, please let me know. I’m so close to being up and running but I can’t seem to make any real progress on this one. Thanks.
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@acabrera2012 SOLVED!
I changed “model.save(config.TRAINING_FILE)” to “model.write(config.TRAINING_FILE)” in train.py
