moorage

/**
 * Fetches and caches the fully redirected URL for one day (24 hours).
 * 
 * This function follows all redirects for a given URL and stores the final 
 * redirected URL in the cache for 24 hours. If the URL has already been 
 * processed within the last 24 hours, the cached result is returned to 
 * improve performance and limit network requests.
 * 
 * @param {string} url - The original URL to fetch and follow redirects from.
 * @return {string} The fully redirected URL after following all redirects.

moorage

import { i18n } from 'webextension-polyfill';

if (typeof window === 'undefined') {
  // eslint-disable-next-line @typescript-eslint/no-explicit-any
  (globalThis as any).window = {
    fetch: fetch,
    navigator: navigator,
    location: {
      hash: '',
      host: i18n.getMessage(extensionIdString),

moorage

const gmailBatchEndpoint = 'https://www.googleapis.com/batch/gmail/v1'
const batchLimit = 2

async function fetchFullMessages(
  auth: OAuth2Client,
  messageIds: string[] = []
) {
  const messageQueries = messageIds.map(function (id) {
    return { uri: '/gmail/v1/users/me/messages/' + id }

moorage

Keybase proof

I hereby claim:

• I am moorage on github.
• I am moorage (https://keybase.io/moorage) on keybase.
• I have a public key ASD544wuQvewbMQvK55Z1srBKpROrC_shqLTkUYSFyoKxQo

To claim this, I am signing this object:

moorage

import pyrealsense2 as rs
c = rs.context()
devices = c.query_devices()
print(devices)
print(devices[0])
print(devices[1])

moorage

import os, fnmatch, argparse
import numpy as np
import OpenEXR, Imath, json
import shutil, glob

# TODO update to handle stereo camera
#
# python3 greppy_metaverse_dataset_renamer.py --p /path/to/dataset

SUBFOLDER_MAP = {

moorage

import numpy as np
import OpenEXR, Imath
from scipy.misc import imsave

INPUT_EXR_NORMALS_FILE = '1-world.exr'
OUTPUT_RGB_NORMAL_FILE = '1-world-to-camera.png'

INVERTED_CAMERA_QUARTERNION = np.array([0.8127532005310059, -0.456145316362381, 0.17738527059555054, 0.31606677174568176], dtype=np.float32)
X_CHANNEL_NAME = 'RenderLayer.Normal.X'
Y_CHANNEL_NAME = 'RenderLayer.Normal.Y'

moorage

# On macOS, you'll need to build the wrapper and export PYTHONPATH=$PYTHONPATH:/____PATH_TO____/librealsense/build/wrappers/python/Debug

import pyrealsense2 as rs
import numpy as np

# Give time for auto-exposure to kick in
CAPTURES_BEFORE_SAVING = 10

# Create a context object. This object owns the handles to all connected realsense devices
rs_pipeline = rs.pipeline()

moorage

import bpy
import colorsys
import json

# https://blender.stackexchange.com/a/80047/58635
def _convert_rgb_to_hsv(red, green, blue):
    return colorsys.rgb_to_hsv(*_linear_to_srgb(red, green, blue))

# https://blender.stackexchange.com/a/80047/58635
def _linear_to_srgb(r, g, b):

moorage

cntr = _center_of_object_collection([ D.objects['obj_example1'], D.objects['obj_example2'], ... ])

def _center_of_object_collection(obs):
    min_x = max_x = min_y = max_y = min_z = max_z = None
    for ob in obs:
        local_vertices = ob.bound_box[:]
        worldify = lambda p: ob.matrix_world * Vector(p[:])
        world_vertices = [worldify(p).to_tuple() for p in local_vertices]
        for (x,y,z) in world_vertices:
            if min_x is None or x < min_x: