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dlr: make size fo prediction graph actually sensible
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1 changed files with 4 additions and 1 deletions
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@ -4,10 +4,12 @@
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from datetime import datetime
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from loguru import logger
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from lib.ai.helpers.summarywriter import summarywriter
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from lib.ai.components.CallbackCustomModelCheckpoint import CallbackCustomModelCheckpoint
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import os
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import math
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import cv2
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import numpy as np
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from glob import glob
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@ -293,8 +295,9 @@ def get_overlay(image, coloured_mask):
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def plot_samples_matplotlib(filepath, display_list):
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plt.figure(figsize=(16, 8))
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for i in range(len(display_list)):
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plt.subplot(1, len(display_list), i+1)
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plt.subplot(2, math.ceil(len(display_list) / 2), i+1)
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if display_list[i].shape[-1] == 3:
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plt.imshow(tf.keras.preprocessing.image.array_to_img(display_list[i]))
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else:
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