# fig = plt.figure()
fig = plt.figure(figsize=(50,50))
ax = fig.add_subplot(1, 2, 1)
plt.imshow(imgArray1, cmap='gray', vmin = 0, vmax = 255, interpolation='none', aspect='auto') #remove cmap to see colors
ax.set_title('title1')
ax = fig.add_subplot(1, 2, 2)
plt.imshow(imgArray2, cmap='gray', vmin = 0, vmax = 255, interpolation='none')
plt.show()
# # Uncomment to save image and see scores on title of image
# picoutpath = os.path.join(self.outdir, 'lax_classify_jpg_out', labeldir)
# os.makedirs(picoutpath, exist_ok=True)
# picoutpath = os.path.join(picoutpath, filename.replace('.npy', '.jpg'))
# plt.imshow(imgarr, cmap='gray', interpolation=None)
# plt.title(f' [ GT:{gtrth_x} PD:{predc_x} PRB:{ma_score:.2f} ]')
# plt.savefig(picoutpath, dpi=200)
# plt.close()
fig, axs = plt.subplots(1, 2, dpi=200)
i = 0
im = axs[i].imshow(img, cmap='gray', interpolation=None)
axs[i].set_title(f'Input Image [GT:{lbl} PD:{prd}]')
axs[i].get_xaxis().set_visible(False)
axs[i].get_yaxis().set_visible(False)
i = 1
im = axs[i].imshow(cam, cmap='hot', interpolation=None)
axs[i].set_title(f'Heat Map [Th: {th}]')
axs[i].get_xaxis().set_visible(False)
axs[i].get_yaxis().set_visible(False)
plt.savefig(oppath)
plt.close()