https://www.youtube.com/watch?v=YMO9uUsjXaI
input data:
- 140 teeth around the wheel
- total distance = 3.86 miles
- original frame size = 367x367
Inferred speed in the video:
https://www.youtube.com/watch?v=YMO9uUsjXaI
input data:
Inferred speed in the video:
import time | |
import numpy as np | |
from numba import njit | |
from scipy.optimize import minimize | |
SQRT_2PI = np.sqrt(2 * np.pi) | |
def ldnorm(x, mu, sd): |
from types import CodeType, FunctionType | |
from dis import dis | |
def patch(fn, name, codestring): | |
code = fn.__code__ | |
code = CodeType( | |
code.co_argcount, code.co_posonlyargcount, code.co_kwonlyargcount, | |
code.co_nlocals, code.co_stacksize, code.co_flags, codestring, | |
code.co_consts, code.co_names, code.co_varnames, | |
code.co_filename, name, code.co_firstlineno, code.co_lnotab, |
[uwsgi] | |
http = :8000 | |
wsgi-file = mules.py | |
need-app = true | |
master = true | |
enable-threads = true | |
processes = 2 | |
mules = 5 | |
farm = limited:1 | |
harakiri = 120 |
{ | |
"presets": ["es2015"] | |
} |
I hereby claim:
To claim this, I am signing this object: