mattak

#!/bin/bash

set -eu

# --- Configuration ---
REMOTE_DIR="/sdcard/Oculus/VideoShots"
LOCAL_TMP_DIR="/tmp"
CONVERT_QUALITY=32
# Scale long side to 1920px while maintaining aspect ratio
SCALE_FILTER="scale='if(gt(iw,ih),1920,-2)':'if(gt(ih,iw),1920,-2)'"

mattak

import numpy as np
import pandas as pd
import argparse

def load_points_from_tsv(path: str) -> tuple[np.ndarray, np.ndarray]:
    df = pd.read_csv(path, sep='\t')
    if not all(col in df.columns for col in ['ID', 'position.x', 'position.y', 'position.z']):
        raise ValueError("必要な列 'ID', 'position.x', 'position.y', 'position.z' が見つかりません")

    ids = df['ID'].values

mattak

import cv2
import numpy as np
import glob
import os
import argparse

def calibrate_fisheye(folder_path, pattern_size=(9, 6), square_size=1.0, save_path='fisheye_camera_params.npz'):
    # 3D座標の準備（Z=0平面）
    objp = np.zeros((1, pattern_size[0] * pattern_size[1], 3), np.float32)
    objp[0, :, :2] = np.mgrid[0:pattern_size[0], 0:pattern_size[1]].T.reshape(-1, 2)

mattak

import cv2
import numpy as np
import glob
import os
import argparse

def calibrate_from_folder(folder_path, pattern_size=(9, 6), square_size=1.0, save_path='camera_params.npz'):
    # 実世界のチェスボード上の交点の3D座標（Z=0の平面上）
    objp = np.zeros((pattern_size[0] * pattern_size[1], 3), np.float32)
    objp[:, :2] = np.mgrid[0:pattern_size[0], 0:pattern_size[1]].T.reshape(-1, 2)

mattak

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mattak

#!/bin/bash

set -eu

if [ $# -lt 1 ]; then
  cat << __USAGE__
Usage:
  $0 <instruction>

Example:

mattak

#!/bin/bash
for kv in $(< $1)
do
  if [[ "$kv" = ^\s*$ ]] || [[ "$kv" =~ ^# ]]; then
    continue
  fi
  export $kv
done

mattak

mattak

#!/bin/bash

set -e

# optparse
if [ $# -ge 1 ]; then
  SOURCE_BRANCH=$1
else
  echo "ERROR: source branch not specified"
  exit 1

mattak

#!/bin/sh

set -xe

if [ $# -eq 0 ]; then
  echo "usage: <input_mp4>"
  exit 1
fi

f1=$1