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pnorman/convert.py

Created September 15, 2023 08:54
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convert.py
#!/usr/bin/env python3
import argparse
import csv
from math import log
from PIL import Image
ZOOM = 10
SCALE_MAX = 1_500_000
parser = argparse.ArgumentParser()
parser.add_argument("input", help = "Name of file to read from")
parser.add_argument("output", help = "Name of PNG to write to")
args = parser.parse_args()
# build a lookup table for colors
colortable = []
with open('extended-kindlmann-table-byte-1024.csv') as csvfile:
reader = csv.reader(csvfile)
next(reader) # skip header
for row in reader:
colortable.append((int(row[1]), int(row[2]), int(row[3])))
COLORTABLE_MAX = len(colortable) - 1
img = Image.new('RGB', (2**ZOOM, 2**ZOOM), "black")
pixels = img.load()
for line in open(args.input):
splitline=line.split(' ', 1)
tile=splitline[0].split('/', 1)
x = int(tile[0])
y = int(tile[1])
hits = int(splitline[1])
# the math gets tricky, because we need 0 hits to map to black (colortable[0]), but log(0) isn't defined. So we add 1 to all hit counts
loghits = log(hits + 1)
# We know 0 < loghits/log(SCALE_MAX) <= 1.
lookup = min(int(round(loghits/log(SCALE_MAX)*COLORTABLE_MAX)), COLORTABLE_MAX)
pixels[x,y] = colortable[lookup]
img.save(args.output)
Raw
extended-kindlmann-table-byte-1024.csv
scalar RGB_r RGB_g RGB_b
0.0 0 0 0
0.0009775171065493646 1 0 1
0.0019550342130987292 2 0 2
0.002932551319648094 3 0 3
0.0039100684261974585 5 0 4
0.004887585532746823 6 0 5
0.005865102639296188 7 0 6
0.006842619745845552 8 0 7
0.007820136852394917 9 0 9
0.00879765395894428 10 0 10
0.009775171065493646 11 1 11
0.010752688172043012 12 1 12
0.011730205278592375 13 1 13
0.012707722385141739 14 1 14
0.013685239491691105 15 1 15
0.01466275659824047 16 1 16
0.015640273704789834 16 1 17
0.016617790811339198 17 1 18
0.01759530791788856 18 1 19
0.01857282502443793 19 1 20
0.019550342130987292 19 1 20
0.020527859237536656 20 1 21
0.021505376344086023 21 1 22
0.022482893450635387 21 1 23
0.02346041055718475 22 1 24
0.024437927663734114 22 1 24
0.025415444770283478 23 1 25
0.026392961876832845 23 1 26
0.02737047898338221 24 1 27
0.028347996089931573 24 1 28
0.02932551319648094 25 1 28
0.030303030303030304 25 1 29
0.03128054740957967 26 1 30
0.03225806451612903 26 1 31
0.033235581622678395 27 2 32
0.03421309872922776 27 2 33
0.03519061583577712 27 2 34
0.03616813294232649 27 2 35
0.03714565004887586 28 2 36
0.03812316715542522 28 2 37
0.039100684261974585 28 2 38
0.04007820136852395 28 2 39
0.04105571847507331 29 2 40
0.042033235581622676 29 2 41
0.043010752688172046 29 2 42
0.04398826979472141 29 2 43
0.044965786901270774 29 2 44
0.04594330400782014 29 2 45
0.0469208211143695 29 2 46
0.047898338220918865 30 2 47
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0.05474095796676442 30 3 53
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0.06060606060606061 30 3 59
0.06158357771260997 30 3 60
0.06256109481915934 30 3 61
0.0635386119257087 30 3 62
0.06451612903225806 29 3 63
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0.0801564027370479 27 4 77
0.08113391984359726 27 4 78
0.08211143695014662 27 4 78
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1.0 255 255 255
Raw
generate_txt.sh
#!/bin/bash
#=======================================================================
# Specify the "start" and "end" time.
#=======================================================================
# Use format "HH:MM YYYY-MM-DD"
start="00:00 2023-01-01"
end="00:00 2023-05-31"
increment="+1 days"
#=======================================================================
# Convert start and end time to full Bash datetime format
# For example, it converts "00:00 2021-04-01" to "Thu Apr 1 00:00:00 GMT 2021"
start=$(date -ud "${start}")
end=$(date -ud "${end}")
# The below while statement will loop over each date between the start and
# end time. Each loop will increment the date by "+1 hours" (defined above).
# NOTE: The +%s in the first line converts the date to "seconds since
# EPOC" which makes the comparison between start and end time possible.
# See bottom of page here: https://phoenixnap.com/kb/linux-date-command
while (( $(date -ud "${start}" +%s) <= $(date -ud "${end}" +%s) )); do
current=$(date -ud "${start}" '+%F')
tilelog --date "$current" --tile hourly/
# Increment the value. This changes the value of `$start` every loop
# with the next date.
start=$(date -ud "${start} ${increment}")
done
Raw
maxreqs.py
#!/usr/bin/env python3
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('files', type=argparse.FileType('r'), nargs='+')
args = parser.parse_args()
maxviews = 0
for f in args.files:
for line in f:
splitline=line.split(' ', 1)
maxviews = max(maxviews, int(splitline[1]))
print(maxviews)
Raw
notes.txt
generate hourly files with modified tilelog
find maximum views with maxreqs.py and set constants in convert.py accordingly
create PNGs with for f in hourly/*.txt; do ./convert.py "$f" "hourly/$(basename $f).png"; done
turn PNGs to video with ffmpeg
cd hourly && ffmpeg -framerate 15 -pattern_type glob -i '*.png' -c:v libsvtav1 -crf 10 -b:v 5000k out.mp4
adjust ffmpeg as needed, still need to find good settings.
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