raven38

fruits = ['apple', 'banana', 'grape']
for fruit in fruits:
    print(fruit)

raven38

from chainer import cuda
from chainer import function
from chainer.utils import type_check
import numpy as np
import cupy as cp


def _kern():
    return cuda.elementwise(
        'T cond, T x, T slope', 'T y',

raven38

# License:
#   I hereby state this snippet is below "threshold of originality" where applicable (public domain).
#
# Otherwise, since initially posted on Stackoverflow, use as:
#   CC-BY-SA 3.0 skyking, Glenn Maynard, Axel Huebl
#   http://stackoverflow.com/a/31047259/2719194
#   http://stackoverflow.com/a/4858123/2719194

import builtins
import types

raven38

tap "golangci/tap"
tap "gromgit/fuse"
tap "grpc/grpc"
tap "homebrew/bundle"
tap "homebrew/cask"
tap "homebrew/core"
tap "kyoshidajp/ghkw"
tap "px4/px4"
brew "a2ps"
brew "arp-scan"

raven38

import torch
import torch.optim as optim
import numpy as np
import cv2 # Ground truth生成や比較でのRodrigues変換に一部使用
from scipy.spatial.transform import Rotation as R_scipy # Ground truthの回転生成用

# PyTorchによるRodriguesの公式（回転ベクトルから回転行列へ）
def rodrigues_pytorch(rvecs_batch):
    """
    Rodriguesの公式を用いて、回転ベクトルのバッチを回転行列のバッチに変換します。