I tried tflite-model-maker before, and it was working fine however, recently I’ve been encountering an error when tried installing the tflite-model-maker in colab.
ERROR: Could not find a version that satisfies the requirement tflite-support>=0.4.2 (from tflite-model-maker) (from versions: 0.1.0a0.dev3, 0.1.0a0.dev4, 0.1.0a0.dev5, 0.1.0a0, 0.1.0a1)
ERROR: No matching distribution found for tflite-support>=0.4.2 (from tflite-model-maker)
ERROR: Could not find a version that satisfies the requirement opencv-python-headless==4.1.2.30 (from versions: 3.4.10.37, 3.4.11.39, 3.4.11.41, 3.4.11.43, 3.4.11.45, 3.4.13.47, 3.4.15.55, 3.4.16.59, 3.4.17.61, 3.4.17.63, 3.4.18.65, 4.3.0.38, 4.4.0.40, 4.4.0.42, 4.4.0.44, 4.4.0.46, 4.5.1.48, 4.5.3.56, 4.5.4.58, 4.5.4.60, 4.5.5.62, 4.5.5.64, 4.6.0.66, 4.7.0.68, 4.7.0.72)
ERROR: No matching distribution found for opencv-python-headless==4.1.2.30
May I know how I can fix this? Every time I run it again, the error changes among tflite-support → scann → numba → goes back to tflite-support.
Colab’s fallback runtime version: Using the fallback runtime version temporarily allows access to the Python 3.9 runtime, and will be available until mid-May. This is available from the Command Palette via the Use fallback runtime version command when connected to a runtime. Of note, this setting does not persist across sessions — the command will need to be invoked on each new session.
As a temporary workaround, you can use the Colab fallback runtime version option to choose Python 3.9 and install tflite-model-maker. By doing this you will get RuntimeError and it can be ignored.
To access the command palette in Colab, presss cmd+shift+P and then type Use fallback runtime version and select it.
hi, I encountered the same problem and the temporary fix to use Python 3.9 runtime is already unavailable in May 24. Is there any way I can use the command !pip install -q tflite-model-maker?
Guys, I am happy to inform you that you can use virtual environment for installing tflite-model-maker
I didn’t find how to use it in colab notebook, but you can use bash commands for installation and trainining models (put your code in .py and run python code.py) , anyway it’s better than nothing.
python3.8 -m virtualenv venv
virtualenv --python=/usr/bin/python3.8 liteenv
source liteenv/bin/activate
pip install --upgrade pip==20.1.1
pip install tensorflow==2.8.0
git clone https://github.com/tensorflow/examples
cd examples/tensorflow_examples/lite/model_maker/pip_package
pip3 install -e .
// fix some dependencies. may differ for you
pip3 install protobuf==3.20.0 numpy==1.20.3
