baskayj

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from multiprocessing import Pool
from scipy.stats import t
from tqdm import tqdm

class FracND:
    class Worker:
        def __call__(self, window):

KMarkert

floew2

'''
A workflow for classifying Landsat remote sensing imagery 
involves utilizing soft voting with SVM and Gradient Boosting classifiers. 
The Isolation Forest algorithm is applied to identify outliers in the 
training data. Feature selection is performed through a Recursive Feature 
Elimination approach. The outcome consists of classification and classification 
probability raster images saved in TIF format.

Author: Fabian Löw
Date: June 2023

MrStickyPiston

import random
import sys

import noise
import numpy as np
import matplotlib.pyplot

if "--seed" in sys.argv:
    try:
        seed = int(sys.argv[sys.argv.index("--seed")+1])

wakarase

# Blender 質感・マテリアル設定実践テクニック
# 3-04-01.blend ドロドロ汚れの作り方
import bpy
NOT_MODIFIED = False
object    = bpy.data.objects['export3dcoat']    # シーンに配置済みのオブジェクト
slot      = object.material_slots[0]            # そのマテリアルスロット
material  = slot.material                       # に設定されているマテリアル
node_tree = material.node_tree                  # のノードネットワーク
nodes     = node_tree.nodes                     # にある各ノード
def delete():

mortcanty

mortcanty

mortcanty

mortcanty

hakimabdi

#############################################################################################
# title         : Perform a Mann-Kendall trend test of satellite image time series
# purpose       : Mann-Kendall test of monotonic trend and associated statistical significance
# author        : Abdulhakim Abdi (@HakimAbdi)
# input         : Raster stack/brick comprising a time series of observations
# output        : Raster object of monotoic trend (Kendall's tau), significance or both (i.e. brick) 
# data          : Test data: https://1drv.ms/u/s!AsHsKb_qtbkwg4ti8pJCxvUer9rMqg?e=BGcH1K
# notes         : Depending on the time series, it is might be useful prewhiten the data to remove serial correlation 
#               : prior to extracting the trend. See blog post on www.hakimabdi.com for more information. 
#############################################################################################