da-h / sphericalharmonicsflow Goto Github PK
View Code? Open in Web Editor NEWTensorflow implementation of least squares approximation onto spherical harmonics basis.
Tensorflow implementation of least squares approximation onto spherical harmonics basis.
pip install -e git+gitlab:tensorflow/sphericalHarmonicsFlow#egg=SphericalHarmonicsFlow
Obtaining SphericalHarmonicsFlow from git+gitlab:tensorflow/sphericalHarmonicsFlow#egg=SphericalHarmonicsFlow
Cloning gitlab:tensorflow/sphericalHarmonicsFlow to /home/youssef/tensorflow/venv/src/sphericalharmonicsflow
ssh: Could not resolve hostname gitlab: Name or service not known
fatal: Could not read from remote repository.
Please make sure you have the correct access rights
and the repository exists.
Command "git clone -q gitlab:tensorflow/sphericalHarmonicsFlow /home/youssef/tensorflow/venv/src/sphericalharmonicsflow" failed with error code 128 in None
When I make directory :
mkdir /home/youssef/tensorflow/venv/src/sphericalharmonicsflow
pip install -e git+gitlab:tensorflow/sphericalHarmonicsFlow#egg=SphericalHarmonicsFlow
Obtaining SphericalHarmonicsFlow from git+gitlab:tensorflow/sphericalHarmonicsFlow#egg=SphericalHarmonicsFlow
Directory /home/youssef/tensorflow/venv/src/sphericalharmonicsflow already exists, and is not a git clone.
The plan is to install the git repository gitlab:tensorflow/sphericalHarmonicsFlow
What to do? (i)gnore, (w)ipe, (b)ackup
==> (I) , (w) & (b) gives same error msg
Hey, I'm using this package to approximate a function on a sphere of radius 100 and I keep getting a nRMSE of about 5% which is still pretty high for my purposes. For it to go down to about 1% I have to increase the model order to very high numbers which gives me way too many coefficients. Additionally, I don't understand how a model order of 5 can give 21 coefficients if by looking at the real harmonic expansion I should just expect 11 coefficients.
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