ianhi

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ianhi

from typing import overload

import mercantile
import xarray as xr


@xr.register_dataset_accessor("tile")
@xr.register_dataarray_accessor("tile")
class TileAccessor:
    def __init__(self, xarray_obj):

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import matplotlib.pyplot as plt
from mpl_draggable_line import DraggableVLine
def compare_images(img1, img2, ax=None):
    img1 = np.asanyarray(img1)
    img2 = np.asanyarray(img2)
    if not np.all(img1.shape == img2.shape):
        raise ValueError("Image shapes must match!")
    if ax is None:
        ax = plt.gca()
    

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%matplotlib widget

from functools import lru_cache

import matplotlib.pyplot as plt
import numpy as np
from mpl_interactions import ipyplot as iplt
from scipy import ndimage as ndi
from skimage.data import binary_blobs
from skimage.feature import peak_local_max

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jlab-env-basic()
{
conda create -n $1 -c conda-forge python mamba -y
conda activate $1
mamba install -c conda-forge jupyterlab nodejs -y
}
jlab-env-full()
{
conda create -n $1 -c conda-forge python=3.8 mamba -y
conda activate $1

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class panhandler:
    """
    enable click to pan image.
    button determines which button will be used (default right click)
    Left: 1
    Middle: 2
    Right: 3
    """
    def __init__(self, fig, button=3):
        self.fig = fig

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import matplotlib.pyplot as plt

def zoom_factory(ax,base_scale = 1.1):
    """
    parameters
    ----------
    ax : matplotlib axes object
        axis on which to implement scroll to zoom
    base_scale : float
        how much zoom on each tick of scroll wheel

ianhi

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import LassoSelector
from matplotlib.path import Path

class image_lasso_selector:
    def __init__(self, img, mask_alpha=.75, figsize=(10,10)):
        """
        img must have shape (X, Y, 3)
        """