TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi
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Converted models Predict Nothing
hallo, i'm basically doing whatever this repo instructed but with my own training data. i was using: 91 test images 356 training images
after following every bits of tutorial, it didnt predict anything. then i thought maybe the tensorflow version (v1.3) is too out of date, i update it to (v1.15.4) both for training and converting still the same problem. i've tried using tflite_convert instead of TOCO, based on this answer on stackoverflow still the same
after some thinkering i was quite curious on the output, its a complete mess it was like this: boxes
[-1.11853247e-32 1.96768973e+31 -9.03377323e-39 1.24939601e+33]
[ 2.89407555e+26 1.30062990e+27 1.86140106e+34 2.09478165e+02]
[ 7.71351299e+31 1.25456728e+33 5.64565312e+24 6.95112678e+22]
[ 2.77759736e+29 6.34886799e+10 2.25685488e+31 1.06700113e+21]
[ 7.14370080e+31 1.12233524e+33 7.67196732e+01 -1.88591859e-16]
[ 4.42466910e+30 4.10378019e+21 4.11511221e+18 -4.26765503e-38]
[ 4.78335563e+36 3.13694584e+29 -6.88691560e-37 8.12594240e+34]
[ 2.94257426e+26 5.41499732e+33 4.80534778e+36 8.10763857e-04]
[ 1.17784752e+24 5.30551264e+36 5.72120457e+30 4.66273108e+30]]
classes
1.2184775e+33 5.5829342e+36 7.6236652e+28 4.9925871e+36
4.9194568e+30 -1.8692555e-34]
scores
2.9263451e+29 4.1156166e+18 3.7936189e+17 -8.8601589e-16
2.0792617e+28 2.1410814e+11]
i wonder what's the problem?
Can you show the command you used to predict this output. I get the same output when I save the output predicting boxes to a txt file
Can you show the command you used to predict this output. I get the same output when I save the output predicting boxes to a txt file
i was using the same code that this guide instructed:
python TFLite_detection_image.py --modeldir=TFLite_model --image=squirrel.jpg