mesquita

from matplotlib.ticker import PercentFormatter
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.metrics import confusion_matrix

def cm_analysis(y_true, y_pred, filename, labels, classes, ymap=None, figsize=(17,17)):
    """
    Generate matrix plot of confusion matrix with pretty annotations.
    The plot image is saved to disk.
    args: 

JACKHAHA363

import cv2
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np


def _rounding(ratio, max_val):
    """ Return a rounded valud from 0 to max_val - 1 """
    val = int(ratio * max_val)
    return min(max_val - 1, val)