1. Replace Homebrew (macOS package deal supervisor)
2. Set up Node.js and npm (for Subsequent.js):
brew set up node
3. Set up Python (for Flask and TensorFlow):
Guarantee you may have Python 3 put in, because it’s required for Flask and TensorFlow.
brew set up python
4. Set up Google Earth Engine Python API:
The GEE Python API permits entry to satellite tv for pc information. First, set up earthengine-api.
pip3 set up earthengine-api
Higher choice: Use pipx for International Set up
pipx set up earthengine-api
5. Set up TensorFlow:
TensorFlow might be used for ML mannequin improvement.
pip3 set up tensorflow
For those who run into drawback, listed below are some attainable causes & fixes
1️⃣ Test Python Model
TensorFlow helps Python 3.8–3.11 (as of TensorFlow 2.15). You probably have Python 3.12, TensorFlow won’t work.
Run:
python3 --version
In case your model is 3.12+, you might want to set up Python 3.11:
brew set up [email protected]
Then use this model:
python3.11 -m venv tf-env
supply tf-env/bin/activate
2️⃣ Improve pip, setuptools, and wheel
Typically, an outdated pip model causes set up failures.
Run:
pip set up --upgrade pip setuptools wheel
Then strive putting in TensorFlow once more:
pip set up tensorflow
3️⃣ Set up Apple Silicon Model (For M1/M2 Macs)
In case you are utilizing an M1/M2 Mac, set up Apple’s optimized TensorFlow model:
pip set up tensorflow-macos
For GPU acceleration on Apple Silicon:
pip set up tensorflow-metal
4️⃣ Use a Digital Atmosphere (Beneficial)
As a substitute of putting in globally, create an remoted surroundings:
python3 -m venv tensorflow-env
supply tensorflow-env/bin/activate
pip set up --upgrade pip
pip set up tensorflow
5️⃣ Test pip’s Compatibility Checklist
pip set up tensorflow --no-cache-dir --verbose
If it nonetheless fails, record accessible variations:
pip set up tensorflow== # (Press Tab after the == to see accessible variations)
I bumped into an unusal error right here as a result of my mistake —I put in Python 3.11 inside my tensor movement digital surroundings and now wish to return to utilizing Python 3.13 system-wide, these are the steps I adopted:
1️⃣ Exit the Digital Atmosphere
In case your digital surroundings (tensorflow-env) continues to be lively, deactivate it:
deactivate
This may return you to your system’s default Python set up.
2️⃣ Unlink Python 3.11 and Use Python 3.13
Because you put in Python 3.11 through Homebrew, you might want to change again to Python 3.13.
First, examine your presently lively Python model:
python3 --version
If it nonetheless exhibits Python 3.11, change again to Python 3.13 utilizing:
brew unlink [email protected]
brew hyperlink --overwrite python
Then confirm the change:
python3 --version
3️⃣ Take away the Previous Digital Atmosphere (Elective)
For those who now not want the tensorflow-env (which was utilizing Python 3.11), you possibly can delete it and create a recent one utilizing Python 3.13.
rm -rf tensorflow-env
python3 -m venv tensorflow-env
supply tensorflow-env/bin/activate
pip set up tensorflow
deactivate # Exit digital surroundings
rm -rf tensorflow-env # Delete previous surroundings
python3.11 -m venv tensorflow-env # Create a brand new surroundings with Python 3.11
supply tensorflow-env/bin/activate # Activate the surroundings
pip set up --upgrade pip
pip set up tensorflow
brew set up [email protected]
python3.11 --version
python3.11 -m venv tensorflow-env
supply tensorflow-env/bin/activate
pip set up tensorflow
#If python3.11 is put in however not acknowledged, you could must replace your PATH:
echo 'export PATH="/usr/native/decide/[email protected]/bin:$PATH"' >> ~/.zshrc
supply ~/.zshrc
python3.11 --version
#And manually hyperlink Python 3.11:
brew hyperlink --overwrite [email protected]
brew set up [email protected]echo 'export PATH="/usr/native/decide/[email protected]/bin:$PATH"' >> ~/.zshrc
supply ~/.zshrc
python3.11 --version
python3.11 -m venv tensorflow-env
supply tensorflow-env/bin/activate
pip set up --upgrade pip
pip set up tensorflow
Truly, I [email protected] is required to put in Tensor Circulation.
5. Flask (for the backend API):
Flask will function the backend to deal with ML predictions and GEE information.
For those who’re working inside your tensorflow-env digital surroundings and want Flask, it is best to set up it inside the digital surroundings.
Set up Flask inside tensorflow-env
First, be certain your digital surroundings is activated:
supply tensorflow-env/bin/activate
#Now, set up Flask:
pip set up flaskConfirm Set up
You’ll be able to examine if Flask was put in efficiently by operating:
python -c "import flask; print(flask.__version__)"
6. Set up Extra Python Libraries:
You’ll want libraries for information processing, geospatial evaluation, and visualization
supply tensorflow-env/bin/activate
pip set up numpy pandas geopandas matplotlib folium
python -c "import numpy, pandas, geopandas, matplotlib, folium; print('All packages put in efficiently!')"
7. Authenticate Google Earth Engine:
Authenticate your GEE account to entry satellite tv for pc information.
earthengine authenticate
supply tensorflow-env/bin/activate
earthengine authenticate
Observe the prompts to log in through your browser and duplicate the authentication token again into the Terminal.
