VolkerH

import numpy as np

def _html_repr_helper(contents, index=()):
    dims_left = contents.ndim - len(index)
    if dims_left == 0:
        s = contents[index]
    else:
        s = ''.join(_html_repr_helper(contents, index + (i,)) for i in range(contents.shape[len(index)]))

    return "<div class='numpy-array-ndim-{} numpy-array-ndim-m{}' title='[{}]'>{}</div>".format(

VolkerH

VolkerH

"""
Built on top of this gist by @karpathy:
https://gist.github.com/karpathy/00103b0037c5aaea32fe1da1af553355

stable diffusion dreaming over text prompts
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:
$ python stable_diffusion_walk.py --prompts "['blueberry spaghetti', 'strawberry spaghetti']" --seeds 243,523 --name berry_good_spaghetti

VolkerH

VolkerH

import time
import napari
import numpy as np
from napari.qt import thread_worker
from qtpy.QtWidgets import QPushButton, QVBoxLayout, QWidget


# Point property for MALDI points
PROPNAME_ACQUIRED = "acquired"

VolkerH

import time
import napari
import numpy as np
from napari.qt import thread_worker
from qtpy.QtWidgets import QPushButton, QVBoxLayout, QWidget

PROPNAME_ACQUIRED = "acquired"

#def generate_point_grid(nx=500, ny=100, dx=20, dy=20): # starting to lag with current napari master
def generate_point_grid(nx=1500, ny=100, dx=20, dy=20):   # still working with Martin's branch

VolkerH

import numpy as np

from shapely.geometry.polygon import Polygon
from shapely.geometry import GeometryCollection, LineString


def napari_shape_to_shapely(coords: np.ndarray, shape_type: str = "polygon"):
    """
    Convert an individual napari shape from a shapes layer to a shapely object
    There is no direct correspondence between a 'rectangle' in napari and a 'box' in

VolkerH

VolkerH

import paramiko
k = paramiko.RSAKey.from_private_key_file("/Users/whatever/Downloads/mykey.pem")
c = paramiko.SSHClient()
c.set_missing_host_key_policy(paramiko.AutoAddPolicy())
print "connecting"
c.connect( hostname = "www.acme.com", username = "ubuntu", pkey = k )
print "connected"
commands = [ "/home/ubuntu/firstscript.sh", "/home/ubuntu/secondscript.sh" ]
for command in commands:
	print "Executing {}".format( command )

VolkerH

# Volker Hilsenstein
# BSD-3 license

import numpy as np
import skimage.morphology
from rotating_calipers import min_max_feret

def get_min_max_feret_from_labelim(label_im, labels=None):
    """ given a label image, calculate the oriented 
    bounding box of each connected component with