wkentaro

import base64
import json
import os

import numpy as np


np.random.seed(0)
img_file = "lena.png"

wkentaro

import math

import imgviz
import numpy as np
import torch


class PositionalEmbeddingSinCos(torch.nn.Module):
    def __init__(
        self, num_pos_feats=64, temperature=10000, normalize=False, scale=None

wkentaro

from abc import ABC, abstractmethod
from typing import Any, List
import warnings

import numpy as np


class Summary(object):
    def __init__(self, name: str, value: Any):
        self.name = name

wkentaro

import imgviz
import tqdm

import corvus_segmentation_models


dataset = corvus_segmentation_models.datasets.Warehouse20200526Dataset(
    split="sim"
)

wkentaro

#!/usr/bin/env python

import json

import imgviz
import numpy as np
import path
import trimesh
import trimesh.transformations as tf

wkentaro

#!/usr/bin/env python


train_pix_mal = 67990163
train_pix_ben = 31488044
train_pix_nor = 38122542
train_pix_out = 1466996531
train_pix_all = train_pix_mal + train_pix_ben + train_pix_nor + train_pix_out

valid_pix_mal = 6431428

wkentaro

#!/usr/bin/env python

import numpy as np
import torch

import corvus_segmentation_models

from train import TransformDataset

wkentaro

#!/bin/bash


convert 2004.04336.pdf -thumbnail x256 thumb.png
imtile *.png --shape 1x10 --out thumb.png

wkentaro

#!/usr/bin/env python

import gdown
import numpy as np
import scipy.io

import corvus_segmentation_models


mat_file = gdown.cached_download(

wkentaro

#!/usr/bin/env python

import json

import numpy as np
import path
import trimesh

import morefusion