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save_plot.py
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133 lines (113 loc) · 4.87 KB
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import numpy as np
import matplotlib.pyplot as plt
import os
from natsort import natsorted
from util.eval import extract_full_proj_from_volume, extract_proj_from_volume
######################################
# 3M
######################################
save_plot_dir = "/home/khan7/workspace/TransPro/eval_plot_transpro_ablation/3M"
os.makedirs(save_plot_dir, exist_ok=True)
res_dir_list = [
"/home/khan7/workspace/TransPro/octa-500/OCT2OCTA3M_3D/test/A", # gt oct
"/home/khan7/workspace/TransPro/octa-500/OCT2OCTA3M_3D/test/B", # gt
"/home/khan7/workspace/TransPro/results/transpro_3M/test_latest",
"/home/khan7/workspace/TransPro/results/transpro_3M_wo_HCG/test_latest",
"/home/khan7/workspace/TransPro/results/transpro_3M_wo_VPG/test_latest",
"/home/khan7/workspace/TransPro/results/transpro_3M_wo_HCG_VPG/test_latest",
"/home/khan7/workspace/TransPro/results/transpro_3M_wo_HCG_VPG_GAN/test_latest",
"/home/khan7/workspace/TransPro/results/transpro_3M_3D_Only/test_latest",
"/home/khan7/workspace/TransPro/results/transpro_3M_3D_Only_wo_GAN/test_latest",
]
seg_dir = "/extra/xielab0/khan7/data/OCTA_500/OCTA_500/Label/GT_Layers_npy"
######################################
# 6M
######################################
# save_plot_dir = "/home/khan7/workspace/TransPro/eval_plot_transpro_ablation/6M"
# os.makedirs(save_plot_dir, exist_ok=True)
# res_dir_list = [
# "/home/khan7/workspace/TransPro/octa-500/OCT2OCTA6M_3D/test/A", # gt oct
# "/home/khan7/workspace/TransPro/octa-500/OCT2OCTA6M_3D/test/B", # gt octa
# "/home/khan7/workspace/TransPro/results/transpro_6M/test_latest",
# "/home/khan7/workspace/TransPro/results/transpro_6M_wo_HCG/test_latest",
# "/home/khan7/workspace/TransPro/results/transpro_6M_wo_VPG/test_latest",
# "/home/khan7/workspace/TransPro/results/transpro_6M_wo_HCG_VPG/test_latest",
# "/home/khan7/workspace/TransPro/results/transpro_6M_wo_HCG_VPG_GAN/test_latest",
# "/home/khan7/workspace/TransPro/results/transpro_6M_3D_Only/test_latest",
# "/home/khan7/workspace/TransPro/results/transpro_6M_3D_Only_wo_GAN/test_latest",
# ]
# seg_dir = "/extra/xielab0/khan7/data/OCTA_500/OCTA_500/Label/GT_Layers_npy"
######################################
title_list = ['gt_oct', 'gt_octa', 'Transpro', 'Transpro_wo_HCG', 'Transpro_wo_VPG', 'Transpro_wo_HCG_VPG', 'Transpro_wo_HCG_VPG_GAN', 'Transpro_3D', 'Transpro_3D_wo_GAN']
fns = natsorted(os.listdir(res_dir_list[0]))
for fn in fns:
print(f'Processing {fn}')
vol_list = []
for i, res_dir in enumerate(res_dir_list):
res = np.load(os.path.join(res_dir, fn)).astype(np.uint8)
# normalize the ground truth oct and octa
if i == 0 or i == 1:
res = ((res-res.min())/(res.max()-res.min()) * 255).astype(np.uint8)
vol_list.append(res)
seg = np.load(os.path.join(seg_dir, fn)).astype(np.uint8)
pid = os.path.splitext(fn)[0]
# mean
plt.close()
plt.figure(figsize=(12, 12))
for i, B in enumerate(vol_list):
plt.subplot(3, 3, i+1)
res = B.mean(axis=0)
if i == 1:
vmax = res.max() * 1.2
if i == 0:
plt.imshow(res, cmap='gray')
else:
plt.imshow(res, cmap='gray', vmax=vmax)
plt.tight_layout()
plt.title(title_list[i])
plt.savefig(os.path.join(save_plot_dir, f'{pid}_mean'))
# full_proj
plt.close()
plt.figure(figsize=(12, 12))
for i, B in enumerate(vol_list):
plt.subplot(3, 3, i+1)
res = extract_full_proj_from_volume(B, seg, reduction='avg')
if i == 1:
vmax = res.max() * 1.2
if i == 0:
plt.imshow(res, cmap='gray')
else:
plt.imshow(res, cmap='gray', vmax=vmax)
plt.tight_layout()
plt.title(title_list[i])
plt.savefig(os.path.join(save_plot_dir, f'{pid}_full_proj'))
# proj_ILM_OPL
plt.close()
plt.figure(figsize=(12, 12))
for i, B in enumerate(vol_list):
plt.subplot(3, 3, i+1)
res = extract_proj_from_volume(B, seg, label=1, reduction='avg')
if i == 1:
vmax = res.max() * 1.2
if i == 0:
plt.imshow(res, cmap='gray')
else:
plt.imshow(res, cmap='gray', vmax=vmax)
plt.tight_layout()
plt.title(title_list[i])
plt.savefig(os.path.join(save_plot_dir, f'{pid}_proj_ILM_OPL'))
# proj_BM_OPL
plt.close()
plt.figure(figsize=(12, 12))
for i, B in enumerate(vol_list):
plt.subplot(3, 3, i+1)
res = extract_proj_from_volume(B, seg, label=2, reduction='avg')
if i == 1:
vmax = res.max() * 1.2
if i == 0:
plt.imshow(res, cmap='gray')
else:
plt.imshow(res, cmap='gray', vmax=vmax)
plt.tight_layout()
plt.title(title_list[i])
plt.savefig(os.path.join(save_plot_dir, f'{pid}_proj_OPL_BM'))