amb

import numpy as np
import mathutils as mu

import bmesh
import bpy

ndir = "F:\ml\motion-diffusion-model\save\humanml_trans_enc_512\samples_humanml_trans_enc_512_000200000_seed10\\results.npy"
data = np.load(ndir, allow_pickle=True)

motions = data[()]['motion']

amb

@echo %*
@echo off
magick %* input.jpg
F:\apps\esrgan\realesrgan-ncnn-vulkan.exe -i input.jpg -o esr_output.jpg -n realesrgan-x4plus
magick esr_output.jpg -scale 50%% esr\\%~n1.jpg  
del input.jpg
del esr_output.jpg

amb

import bpy
from pathlib import Path

#selo = bpy.context.selected_objects
#assert len(selo) > 0, "Need to select the camera root"
#mroot = selo[0]
#assert mroot.name == "mvgRoot"

mroot = bpy.data.objects['mvgRoot']
image_folder = Path("D:\\art\\photo\\2022.6\\16")

amb

# OTFFT library
# http://wwwa.pikara.ne.jp/okojisan/otfft-en/optimization1.html

# This is +20-50% improvement
const thetaLutSize = 2048
const thetaLut = static:
    var arr: array[thetaLutSize, Complex[float]]
    let step = 2.0*PI/float(thetaLutSize)
    for k, v in mpairs(arr):
        v = complex(cos(step * float(k)), -sin(step * float(k)))

amb

import streams, std/base64, std/strformat

type 
    WavFile* = object
        data*: seq[uint8]
        size*: int
        freq*: int
        bits*: int
        channels*: int

amb

https://news.ycombinator.com/item?id=26746537

	
godmode2019 3 hours ago [–]

I think everyone was a txt file on their computer filled with FFmpeg commands.
Care to share yours?
	
stevens37 0 minutes ago [–]

amb

from mido import MidiFile
import mido
from collections import defaultdict
import time
import sys

filename = "Space Harrier.mid"
# filename = "Shovel.mid"

if len(sys.argv) == 2:

amb

import math

for i in range(16):
    print(
        f"@{(i*16):08x} "
        + " ".join(f"{int(-math.cos((j+i*16)*math.pi*2/255)*127.1+128):02x}" for j in range(16))
    )

# for Xilinx Vivado FPGA purposes
# sin_table.mem

amb

# l.py - A tiny interpreter for a lisp-like language with full
# lexical closures in Python
#
# Written by Ron Garret.  Contributed to the public domain

# The global environment

# modification 2021 ambi, also public domain

globalenv = {}

amb

"""
https://bottosson.github.io/posts/oklab/

Lab
L=lightness
a=green/red
b=blue/yellow

Lab to lightness, chroma, hue (LCh)
C=sqrt(a**2+b**2)