Server is run on a be polite policy - it's not a right but a privilege :)
There are two main considerations for users.
| # %% | |
| import torch | |
| import torch.nn.functional as F | |
| # compute rotation vector to get from a to b | |
| def angleBetweenRT(a, b): | |
| # find rotation axis | |
| rotvec = torch.cross(a, b) |
| #!/bin/bash | |
| # Make executable with chmod +x <<filename.sh>> | |
| # based on: | |
| # https://www.freecodecamp.org/news/automate-project-github-setup-mac/ | |
| # | |
| # but using a github personal access token: | |
| # https://help.github.com/en/github/authenticating-to-github/creating-a-personal-access-token | |
| """Fit a 2d line to data using auto differentiation to learn w, b.""" | |
| # %% | |
| import torch | |
| import matplotlib.pyplot as plt | |
| # size of data - more data wil give a more accurate result | |
| N = 500 | |
| # we can add noise to data to make it more realistic | |
| noise = torch.randn(N) |
| *PPD-Adobe: "4.3" | |
| *% | |
| *% PPD file for Dell 1320 netork color printer | |
| *% | |
| *% Based on orginal file: | |
| *% | |
| *% FX DocuPrint C525 A-AP PPD file for CUPS. | |
| *% | |
| *% Copyright 2005 by Fuji Xerox Co.,Ltd. | |
| *% |
| from plotly.offline import init_notebook_mode, iplot | |
| import plotly.graph_objs as go | |
| init_notebook_mode() | |
| # x, y is point data, image is a PIL image. | |
| trace0 = go.Scatter( | |
| x=x, y=y, mode='markers', | |
| hovertext=[str(i) for i in range(len(x))], | |
| hoverinfo="text",) |
| How to get the proper OpenGL projection matrix from the OpenCV camera calibration values? | |
| For the simple common case where the OpenCV camera matrix has the form: | |
| |fx 0 cx| | |
| |0 fy cy| | |
| |0 0 1| | |
| The corresponding OpenGL projection matrix can be computed like this: |
| { | |
| // Place your snippets for python here. Each snippet is defined under a snippet name and has a prefix, body and | |
| // description. The prefix is what is used to trigger the snippet and the body will be expanded and inserted. Possible variables are: | |
| // $1, $2 for tab stops, $0 for the final cursor position, and ${1:label}, ${2:another} for placeholders. Placeholders with the | |
| // same ids are connected. | |
| // Example: | |
| // "Print to console": { | |
| // "prefix": "log", | |
| // "body": [ | |
| // "console.log('$1');", |
| # %% reorder the vertices | |
| import numpy as np | |
| # %% | |
| with open("oldorder.obj") as fid: | |
| lines = fid.readlines() | |
| print(lines) | |
| # %% |