companje

PShape globe;
float w,h,eyeZ;

void setup() {
  fullScreen(P3D);
  
  w = width;
  h = height;
  eyeZ = 1460; // = h/2 + offset
  

companje

# ik heb twee CSV's met de volgende headers:
#
# 1) org_row,filename,straatnaam,afbeelding,oude straatnaam
# 2) "uuid","name","width","height","link"

# Ik wil graag een nieuwe CSV met de onderstaande velden waarbij de sleutelkolommen 'filename' en 'name' gebruikt kunnen worden om te matchen
# 2) "uuid","name","width","height","link","straatnaam"
#
# response from ChatGPT 3.5. In 1x goed!

companje

#!/usr/bin/env python3
import shutil,os,cv2,sys,glob
from tqdm import tqdm
from PIL import Image
from pathlib import Path
from joblib import Parallel, delayed

crop_width = 200
crop_height = 100
output_scale = .33

companje

import mysql.connector, json

def get_column_names(db_name, table_name):
    query = f"SELECT COLUMN_NAME FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_SCHEMA = '{db_name}' AND TABLE_NAME = '{table_name}'"
    cursor.execute(query)
    return [row["COLUMN_NAME"] for row in cursor]

db_name = 'your_db'
db_user = 'root'
db_pass = ''

companje

ZoomWindow win1, win2;

void setup() {
  size(100, 100);
  win1 = new ZoomWindow(dataPath("saenredam.jpg"), 0, 0, displayWidth/2, displayHeight);
  win2 = new ZoomWindow(dataPath("zadelstraat.jpg"), displayWidth/2, 0, displayWidth/2, displayHeight);
}

void draw() {
}

companje

import org.processing.wiki.triangulate.*;

PShape globe, sphere;

void settings() {
  fullScreen(P3D);
}

void setup() {
  surface.setSize(1200, 1200);

companje

PShader shader;
PImage colormap, heightmap, palette;
PShape shape;

void setup() {
  size(1169, 1169, P3D);
  shader = loadShader("watermars.glsl");
  colormap = loadImage("mars-2k-noaa.jpg");
  heightmap = loadImage("mars-4k-bump.png");
  palette = loadImage("water.png");

companje

PShader shader;
PImage colormap, normalmap;
PShape shape;

void setup() {
  size(1169, 1169, P3D);
  shader = loadShader("frag-shader.glsl", "vert-shader.glsl");
  colormap = loadImage("colormaps/mercury.jpg");
  normalmap = loadImage("normalmaps/mercury.jpg");

companje

# pip install scikit-learn

import numpy as np
from sklearn import metrics
from sklearn.cluster import DBSCAN
import matplotlib.pyplot as plt
from sklearn.datasets import make_blobs
from sklearn.preprocessing import StandardScaler

centers = [[1, 1], [-1, -1], [1, -1], [-1,1]] #* (640,480)

companje

import cv2
import numpy as np
from Tracker import Tracker
from TouchEvents import TouchEvents
from pythonosc import udp_client as osc
from scipy.signal import convolve2d

w,h=640,480
mouseX, mouseY = 0,0
exposure=-8