alexlib

## Follow this link for further updates to Github Desktop for Ubuntu https://github.com/shiftkey/desktop/releases/latest
# UPDATE (2021-10-18): Thanks to Amin Yahyaabadi's message, the updated code is as follows

sudo wget https://github.com/shiftkey/desktop/releases/download/release-2.9.3-linux3/GitHubDesktop-linux-2.9.3-linux3.deb
### Uncomment below line if you have not installed gdebi-core before
# sudo apt-get install gdebi-core 
sudo gdebi GitHubDesktop-linux-2.9.3-linux3.deb

# UPDATE (2021-03-05): Thanks to PaoloRanzi81's comment, the updated code is as follows https://gist.github.com/PaoloRanzi81

alexlib

def align_vectorised(a: np.ndarray, b: np.ndarray):
    """
    Find array of rotation matrices r such that r @ a = b when a and b are arrays of normalised vectors
    implementation designed to avoid trig calls
    based on https://iquilezles.org/www/articles/noacos/noacos.htm
    :param a: normalised vector(s) of length 3
    :param b: normalised vector(s) of length 3
    :return: rotation matrix
    """
    # setup

alexlib

def random_uniform_rotation(size=1):
    """
    Return uniform rotation vectors sampled on a sphere
    Args:
        size : int 
          The number of vectors
    Returns:
        vector: np.ndarray
          The rotation vectors
    """

alexlib

from time import sleep

import napari
import numpy as np
from napari.qt.threading import thread_worker

viewer = napari.Viewer()
bbox_layer = viewer.add_points(
    [[-1, -1], [-1, 1], [1, -1], [1, 1]], face_color='green')
points_layer = viewer.add_points([0, 0], face_color='magenta')

alexlib

from time import sleep
from enum import Enum

import napari
import numpy as np
import psygnal
from napari.qt.threading import thread_worker

BOARD_SIZE = 14
INITIAL_SNAKE_LENGTH = 4

alexlib

alexlib

from pathlib import Path

import mrcfile
import napari
import numpy as np
from magicgui import magicgui

OUTPUT_DIRECTORY = 'picking'
Path(OUTPUT_DIRECTORY).mkdir(exist_ok=True, parents=True)

alexlib

from pathlib import Path
from typing import Dict
from enum import Enum

import napari
import numpy as np
import mrcfile
import pandas as pd
import starfile
import eulerangles

alexlib

import numpy as np
import mrcfile
import starfile
from eulerangles import euler2matrix, invert_rotation_matrices
import napari
from fuzzywuzzy import fuzz, process

# Read in data
particle_file = 'particles_10.00Apx.star'
volume_file = 'TS_01.mrc_10.00Apx.mrc'

alexlib

name: CI

on:
  push:
    branches:
    - main
  pull_request:
    branches:
    - main