Z-Zheng

class mIoU(Node):
    def __init__(self, num_classes, log_file=None):
        self.num_classes = num_classes
        self.log_file = None
        self._total = sparse.coo_matrix((num_classes, num_classes), dtype=np.float32)
        
    @staticmethod
    def compute_iou_per_class(confusion_matrix):
        """
        Args:

Z-Zheng

import numpy as np
import math


class OverlapSlidingWindow(object):
    def __init__(self, image_shape, kernel_shape, stride):
        self.stride_ = stride
        self.image_shape_ = image_shape
        self.kernel_shape_ = kernel_shape

Z-Zheng

from torch.utils.data import Dataset
import glob
import os
from skimage.io import imread
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from simplecv.util import tensor_util
from simplecv.interface import CVModule
from simplecv.data import preprocess

Z-Zheng

import types
class A():
    def __init__(self):
        self.a = 0

    def print(self, v):
        print(self.a + v)

    def override_print(self, fn):
        self.print = types.MethodType(fn, self)