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| import csv | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| def _decode_train_csv(csv_path): | |
| epochs = [] | |
| train_loss = [] | |
| val_loss = [] | |
| dice = [] | |
| with open(csv_path) as csv_file: | |
| csv_reader = csv.DictReader(csv_file) | |
| for row in csv_reader: | |
| epochs.append(row['step']) | |
| train_loss.append(row['train_loss']) | |
| val_loss.append(row['val_loss']) | |
| dice.append(row['dice_score']) | |
| return (np.array(epochs, dtype=np.uint), np.array(train_loss, dtype=np.float32), | |
| np.array(val_loss, dtype=np.float32), np.array(dice, dtype=np.float32)) | |
| def plot_train_data(csv_path, store = None, show=True, steps_in_epoch = -1): | |
| data = _decode_train_csv(csv_path) | |
| plt.plot(data[0], data[1], label = 'Training Loss') | |
| plt.plot(data[0], data[2], label = 'Validation loss') | |
| plt.plot(data[0], data[3], label = 'Dice Score') | |
| if(steps_in_epoch > 0): | |
| vlines = [x for x in range(0, data[0][-1]) if x % steps_in_epoch == 0] | |
| plt.vlines(vlines, ymin = -0.2, ymax = -0.05) | |
| plt.ylim(-0.1, 1.1) | |
| plt.ylabel('Training loss') | |
| plt.xlabel('Train Step') | |
| plt.legend(loc="upper left") | |
| if(store): | |
| plt.savefig(store) | |
| if(show): | |
| plt.show() | |
| def plot_multiple_val_losses(names, csvs): | |
| for name, csv in zip(names, csvs): | |
| data = _decode_train_csv(csv) | |
| plt.plot(data[0], data[2], label = name) | |
| plt.ylim(-0.1, 1.1) | |
| plt.xlim(0, 7000) | |
| plt.ylabel('Validation Loss') | |
| plt.xlabel('Train Step') | |
| plt.legend(loc="upper left") | |
| plt.show() | |
| if __name__ == "__main__": | |
| #path = "D:\\Repos\\LungTumorSegmentation\\models\\metrics.csv" | |
| #plot_train_data(path) | |
| names = ['Base 16: Multiplier: 2x', 'Base 64: Multiplier: 2x', 'Base 128: Multiplier: 2x', 'Base 64: Multiplier: 3.5x', 'Base 192: Multiplier: 1.5x'] | |
| csvs = ["C:\\Users\\vemun\\Desktop\\Plots\\16_2.csv", "C:\\Users\\vemun\\Desktop\\Plots\\64_2.csv", "C:\\Users\\vemun\\Desktop\\Plots\\128_2.csv", "C:\\Users\\vemun\\Desktop\\Plots\\64_3_5.csv", "C:\\Users\\vemun\\Desktop\\Plots\\192_1_5.csv"] | |
| plot_multiple_val_losses(names, csvs) |