Saafke

Google Summer of Code 2019 with OpenCV

Learning-based Super Resolution

Student: Xavier Weber
Mentors: Vladimir Tyan & Yida Wang
Student on the same project: Fanny Monori

Link to accomplished work:

• PR in the opencv_contrib repository: opencv_contrib/pull/2231

hellpanderrr

from scipy.spatial import Delaunay, ConvexHull
import networkx as nx
 
points = [ [0,0],[0,50],[50,50],[50,0],[0,400],[0,450],[50,400],[50,450],[700,300],[700,350],[750,300],[750,350],
          [900,600],[950,650],[950,600],[900,650]
]
def concave(points,alpha_x=150,alpha_y=250):
    points = [(i[0],i[1]) if type(i) <> tuple else i for i in points]
    de = Delaunay(points)

melanieimfeld

import argparse
import requests
import json
import geopandas as gpd
import pandas as pd
from shapely import affinity
from shapely.geometry import Polygon, Point, MultiPolygon
from matplotlib import pyplot as plt
import numpy as np
from osmtogeojson import osmtogeojson

wboykinm

-- Isolate building features and height attributes
WITH buildings AS (
SELECT 
  feature_type, 
  osm_id, 
  osm_timestamp, 
  ST_Centroid(geometry) AS centroid, 
  (
    SELECT 
      value 

JoeGermuska

#!/usr/bin/env python
"""
Like cut, but for CSVs. To be used from a shell command line.

Note that fields are zero-based, as opposed to 'cut' where they are 1-based.

Should use something better than getopt, but this works...

Usage: 
    csvcut foobar.csv

dbro

#!/usr/bin/env python
"""
from https://gist.github.com/JoeGermuska/561347
Like cut, but for CSVs. To be used from a shell command line.
 
Note that fields are 1-based, similar to the UNIX 'cut' command.
 
Should use something better than getopt, but this works...
 
Usage: 

wriglz

-- Snap the points to their closest lines, found in the subquery below
SELECT
  point_id,
  line_id,
  ST_LINE_INTERPOLATE_POINT(line_geom,
  ST_Line_Locate_Point(line_geom, point_geom)) AS snapped_points --Create the snapped points
FROM 

--Subquery to find the closest line to each point (within a pre-defined raidus)
(

stefansundin

#!/usr/bin/env python3
# Get your files that Gmail block. Warning message:
# "Anti-virus warning - 1 attachment contains a virus or blocked file. Downloading this attachment is disabled."
# Based on: https://spapas.github.io/2014/10/23/retrieve-gmail-blocked-attachments/

# Instructions:
# Go to your emails, click the arrow button in the top right, "Show original", then "Download Original".
# Move the files to the same directory as this program, then run it.

import sys

waterpump.ino

#include "InternetButton.h"
#include "math.h"

/**
 * Sensor calibration data:
 * Wet = 1520
 * Dry = 3120
 * (Calibrate this for yourself!)
 */

janbenetka

SELECT jslibs.h3.ST_GEOGPOINTFROMH3("u2ce02j")
SELECT jslibs.h3.ST_H3_BOUNDARY(jslibs.h3.ST_H3(ST_GEOGPOINT(13.377534960188237, 49.747300576525554), 11))
SELECT jslibs.h3.h3GetResolution("u2ce02j");


# lat/lon to hexagon
SELECT jslibs.h3.ST_H3(ST_GEOGPOINT(statistics.coordinate.longitude, statistics.coordinate.latitude), 10) AS dwell_hex_id,


WITH polygon AS (