charlesramey

import os
import re
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import matplotlib.dates as mdates
from tqdm.contrib import tqdm as rainbow_tqdm
import subprocess

charlesramey

import os
import cv2
import numpy as np

def find_original_video_files(root_dir):
    video_files = []
    for root, _, files in os.walk(root_dir):
        for file in files:
            if file.endswith((".mp4")):

charlesramey

8003 636e 756d 7079 2e63 6f72 652e 6d75
6c74 6961 7272 6179 0a5f 7265 636f 6e73
7472 7563 740a 7100 636e 756d 7079 0a6e
6461 7272 6179 0a71 014b 0085 7102 4301
6271 0387 7104 5271 0528 4b01 4b64 4b64
8671 0663 6e75 6d70 790a 6474 7970 650a
7107 5802 0000 0066 3871 084b 004b 0187
7109 5271 0a28 4b03 5801 0000 003c 710b
4e4e 4e4a ffff ffff 4aff ffff ff4b 0074
710c 6289 4280 3801 0000 0000 0000 0000

charlesramey

Numpy method for C = A * B where A is a (a,) vector, B is a (b,c) matrix, and C is a (a, b, c) tensor

import numpy as np
a = np.array([7,8,9])
b = np.array([[1,2,3],[4,5,6]])
c = a[:,np.newaxis].dot(b.flatten()[np.newaxis, :])
c.reshape(a.shape[0], b.shape[0], b.shape[1])