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import pandas as pd | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
def print_confusion_matrix(confusion_matrix, class_names, figsize = (10,7), fontsize=14): | |
"""Prints a confusion matrix, as returned by sklearn.metrics.confusion_matrix, as a heatmap. | |
Note that due to returning the created figure object, when this funciton is called in a | |
notebook the figure willl be printed twice. To prevent this, either append ; to your | |
function call, or modify the function by commenting out the return expression. |
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import argparse | |
import torch | |
import torch.nn as nn | |
from torch.autograd import Variable | |
from torch.utils.data import DataLoader | |
import torchvision | |
import torchvision.transforms as T | |
from torchvision.datasets import ImageFolder |
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import cv2 | |
import numpy as np | |
import torch | |
from torchvision import models, transforms | |
from torch.autograd import Variable | |
import torch | |
import torch.nn as nn | |
import pickle | |
import os | |
import argparse |
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