Comments (4)
Just pushed the conditional import, can you give it a go and see if it works? Seems to work fine on my machine, yet, I'm not using the TFLite runtime. I'll update the documentation accordingly.
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The TFLite runtime is working great for me -- thanks!
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I realized that TFLite-runtime 2.5.0 won't work, it has to be 2.7.0. Yet, this version doesn't seem to be available for all Python distros, e.g. the one I use on Windows. Therefore, I only recommend installing it on Ubuntu in the setup tutorial. Still closing this issue since it seems to work aside from that.
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I'll test it as soon as I have a RPi near me.
I have only run the code with tflite-runtime 2.7.0 which is available on Raspbian Bullseye
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Related Issues (20)
- Using BirdNET-Analyzer for Bat Calls HOT 5
- Labels query HOT 3
- Using segments to remove false positives HOT 2
- Error when using coordinate arguments in analyze.py: "ValueError: vector too long" HOT 3
- Seg fault on training HOT 1
- Metadata model output differs between python and tfjs HOT 2
- Bias in Species Recognition Favoring American Species Over Eurasian Ones HOT 1
- Approach to NaN handling in TFJS
- Autotune ignores executions_per_trial HOT 1
- No error reporting for BirdNET-Analyzer_GUI? HOT 2
- Error Training with Use Autotune Selected (Gui v 1.0.0-beta1) HOT 2
- Kaleidoscope output type not working (Gui v 1.0.0-beta1) HOT 4
- understanding the model save mode (training) HOT 1
- Folder selection similar to File selection HOT 2
- Issue with GUI longitude and Latitude HOT 2
- Comand line expression for "combine selection table" HOT 2
- Folder selection buggy HOT 8
- Transfer Learning HOT 5
- GUI vs Raven Detector HOT 2
- does the TFLite model allow batching? HOT 4
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