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RE: How to...
How to negotiate a better home loan rate with your bank (from Barefoot Investor SCOTT PAPE):
You: Hello, my account number is ______. I’ve been with you for ___ years, but I’ve applied to refinance with UBank. Their rate is ____ per cent, which is a full ___ per cent cheaper than you’re charging me. Given our longstanding relationship, I’d like you to match the offer — or send me the forms I need to switch to UBank.
Bank rep: One moment, please.
(You’re bluffing, of course. However, the bank’s sales team have strict targets, backed by incentives, that they have to meet — one of which is giving profitable customers discounts to stop them leaving.)
Bank rep: We can’t match the rate you have quoted. However, we understand you are a valuable customer, so we would like to offer you a 0.15 per cent discount.
You: That’s not good enough. I’ve already got conditional approval … so in order to stay I need at least a 0.5 per cent discount. Could you please speak to your supervisor? I’m happy to wait.
Bank rep (a full six minutes later): On reviewing your case, we can offer you that 0.5 per cent discount on your current rate.
You: Brilliant! Please send me an email confirming the new rate and confirming that it will be applied as of start of business tomorrow.
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RE: How to...
How to visualise massive point clouds in python:
https://towardsdatascience.com/guide-to-real-time-visualisation-of-massive-3d-point-clouds-in-python-ea6f00241ee0 -
RE: How to...
How to install point-e on Windows 11:
#in Windows Powershell note down the cuda version from this command: nvidia-smi.exe #look up the channel for your cuda version using this site: #https://anaconda.org/nvidia/repo/installers? #In Anaconda powershell: conda update conda conda update anaconda conda update python conda update --all conda create --name point-e pip #Now exit from the Powershell you are using and then open a new one before you activate the new "env". conda activate point-e #install cuda from the channel identified previously conda install cuda --channel "nvidia/label/cuda-12.0" #NB. there doesn't seem to be an option (yet) to use cud=12.0 in the code line below. The line below is suggested when visiting https://pytorch.org/ conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia #NB. I found that the line below was necessary to get things to work conda install cudatoolkit conda install ipykernel jupyter nvcc --version conda install -c anaconda git git clone https://github.com/openai/point-e.git cd point-e pip install -e . jupyter notebook #navigate to the notebook in Jupyter at: #./point-e/point_e/examples/text2pointcloud.ipynb #In the notebook add a cell at the beginning with the code below to test if the GPU is detectable: import torch print(f'PyTorch version: {torch.__version__}') print('*'*10) print(f'_CUDA version: ') !nvcc --version print('*'*10) print(f'CUDNN version: {torch.backends.cudnn.version()}') print(f'Available GPU devices: {torch.cuda.device_count()}') print(f'Device Name: {torch.cuda.get_device_name()}') #NB. I had an issue with the kernel crashing when plotting the pointclouds. #The error in the anaconda powershell was: #OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized. #The solution was to add a cell at the start of the script with the code: import os os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE" #NB. The above workaround apparently may cause crashes or silently produce incorrect results....