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eval.py
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# -*- coding: utf-8 -*-
"""
# @file name : eval.py
# @author : chenzhanpeng https://github.com/chenzpstar
# @date : 2023-09-10
# @brief : 图像评估
# @reference : https://blog.csdn.net/fovever_/article/details/129332278
"""
import os
import sys
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(BASE_DIR, '..'))
import cv2
import numpy as np
import torch
from natsort import natsorted
from openpyxl import Workbook, load_workbook
from openpyxl.utils import get_column_letter
from common import get_test_args
from core.metric import *
def eval_metrics(img1, img2, imgf):
sd = calc_std(imgf)
ag = calc_ag(imgf)
sf = calc_sf(imgf)
mse = (calc_mse(img1, imgf) + calc_mse(img2, imgf)) * 0.5
psnr = calc_psnr(mse)
cc = (calc_cc(img1, imgf) + calc_cc(img2, imgf)) * 0.5
scd = calc_scd(img1, img2, imgf)
en = calc_entropy(imgf)
ce = calc_cross_ent(img1, imgf) + calc_cross_ent(img2, imgf)
mi = calc_mul_info(img1, imgf, normalized=True) + calc_mul_info(
img2, imgf, normalized=True)
qabf, nabf, labf = calc_Qabf(img1, img2, imgf, L=1.5, full=True)
ssim = (calc_ssim(img1, imgf) + calc_ssim(img2, imgf)) * 0.5
msssim = (calc_msssim(img1, imgf) + calc_msssim(img2, imgf)) * 0.5
viff = calc_viff(img1, img2, imgf, simple=False)
return {
'sd': sd.item(),
'ag': ag.item(),
'sf': sf.item(),
'mse': mse.item(),
'psnr': psnr.item(),
'cc': cc.item(),
'scd': scd.item(),
'en': en.item(),
'ce': ce.item(),
'mi': mi.item(),
'qabf': qabf.item(),
'nabf': nabf.item(),
'labf': labf.item(),
'ssim': ssim.item(),
'msssim': msssim.item(),
'viff': viff.item(),
# 'qabf': 1,
# 'nabf': 1,
# 'labf': 1,
# 'ssim': 1,
# 'msssim': 1,
# 'viff': 1,
}
def write_excel(file_name, sheet_name='test', column=0, data=None):
try:
workbook = load_workbook(file_name)
except FileNotFoundError:
workbook = Workbook() # 若文件不存在，则创建新文件
# 获取或创建指定工作表
if sheet_name in workbook.sheetnames:
worksheet = workbook[sheet_name]
else:
worksheet = workbook.create_sheet(title=sheet_name)
# 在指定列中插入数据
column = get_column_letter(column + 1)
for i, value in enumerate(data):
cell = worksheet[column + str(i + 1)]
cell.value = value
# 保存文件
workbook.save(file_name)
if __name__ == '__main__':
import time
torch.cuda.empty_cache()
args = get_test_args()
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
# device = torch.device('cuda:0' if args.gpu else 'cpu')
# device = torch.device('cpu')
sheet_name = 'method'
# sheet_name = 'metric'
method_list = [
'DeepFuse', 'DenseFuse', 'VIFNet', 'DBNet', 'SEDRFuse', 'NestFuse',
'RFNNest', 'UNFusion', 'Res2Fusion', 'MAFusion', 'IFCNN', 'DIFNet',
'PMGI', 'PFNetv1', 'PFNetv2', 'MyFusion'
]
method_names = [method_list[0]]
exp_name = None
# exp_name = 'exp1'
# data_dir = os.path.join(BASE_DIR, 'data', 'samples', args.data)
data_dir = os.path.join(BASE_DIR, '..', 'datasets', args.data)
# save_path = os.path.join(BASE_DIR, '..', f'metrics_{args.data}.xlsx')
if args.data in ['tno']:
img1_dir = os.path.join(data_dir, 'vis')
img2_dir = os.path.join(data_dir, 'ir')
elif args.data in ['roadscene', 'msrs']:
img1_dir = os.path.join(data_dir, 'test', 'vis')
img2_dir = os.path.join(data_dir, 'test', 'ir')
elif args.data in ['polar']:
img1_dir = os.path.join(data_dir, 'test', 'vis')
img2_dir = os.path.join(data_dir, 'test', 'po')
if exp_name is None:
ckpt_dir = os.path.join(BASE_DIR, '..', 'checkpoints', args.ckpt)
else:
ckpt_dir = os.path.join(BASE_DIR, '..', 'checkpoints', exp_name,
args.ckpt)
# save_path = os.path.join(ckpt_dir, f'metrics_{args.data}.xlsx')
save_path = os.path.join(ckpt_dir,
f'metrics_{args.data}_{method_names[0]}.xlsx')
imgf_dir = os.path.join(ckpt_dir, args.data)
# results_dir = os.path.join(BASE_DIR, '..', 'results', args.data)
# save_path = os.path.join(results_dir, f'metrics_{args.data}.xlsx')
for i, method_name in enumerate(method_names):
sd_list = []
ag_list = []
sf_list = []
mse_list = []
psnr_list = []
cc_list = []
scd_list = []
en_list = []
ce_list = []
mi_list = []
qabf_list = []
nabf_list = []
labf_list = []
ssim_list = []
msssim_list = []
viff_list = []
name_list = []
# 评估方法
# imgf_dir = os.path.join(results_dir, method_name)
print(f'evaluating {method_name} ...')
start = time.time()
for i, img in enumerate(natsorted(os.listdir(img1_dir))):
# 读取数据
img1_path = os.path.join(img1_dir, img)
img2_path = os.path.join(img2_dir, img)
imgf_path = os.path.join(imgf_dir, f'{i + 1:0>2}.bmp')
img1 = cv2.imread(img1_path,
cv2.IMREAD_GRAYSCALE).astype(np.float32)
img2 = cv2.imread(img2_path,
cv2.IMREAD_GRAYSCALE).astype(np.float32)
imgf = cv2.imread(imgf_path,
cv2.IMREAD_GRAYSCALE).astype(np.float32)
img1 = torch.from_numpy(
img1.copy()).float().unsqueeze(0).unsqueeze(0)
img2 = torch.from_numpy(
img2.copy()).float().unsqueeze(0).unsqueeze(0)
imgf = torch.from_numpy(
imgf.copy()).float().unsqueeze(0).unsqueeze(0)
# imgf = torch.rand_like(img1)
img1.to(device, non_blocking=True)
img2.to(device, non_blocking=True)
imgf.to(device, non_blocking=True)
# 评估图像
print(f'evaluating {img} ...')
with torch.no_grad():
results = eval_metrics(img1, img2, imgf)
# 记录结果
sd_list.append(results['sd'])
ag_list.append(results['ag'])
sf_list.append(results['sf'])
mse_list.append(results['mse'])
psnr_list.append(results['psnr'])
cc_list.append(results['cc'])
scd_list.append(results['scd'])
en_list.append(results['en'])
ce_list.append(results['ce'])
mi_list.append(results['mi'])
qabf_list.append(results['qabf'])
nabf_list.append(results['nabf'])
labf_list.append(results['labf'])
ssim_list.append(results['ssim'])
msssim_list.append(results['msssim'])
viff_list.append(results['viff'])
name_list.append(img)
end = time.time()
print(f'evaluating {method_name} done, cost {end - start:.3f}s')
# 计算均值
sd_list.insert(0, np.mean(sd_list))
ag_list.insert(0, np.mean(ag_list))
sf_list.insert(0, np.mean(sf_list))
mse_list.insert(0, np.mean(mse_list))
psnr_list.insert(0, np.mean(psnr_list))
cc_list.insert(0, np.mean(cc_list))
scd_list.insert(0, np.mean(scd_list))
en_list.insert(0, np.mean(en_list))
ce_list.insert(0, np.mean(ce_list))
mi_list.insert(0, np.mean(mi_list))
qabf_list.insert(0, np.mean(qabf_list))
nabf_list.insert(0, np.mean(nabf_list))
labf_list.insert(0, np.mean(labf_list))
ssim_list.insert(0, np.mean(ssim_list))
msssim_list.insert(0, np.mean(msssim_list))
viff_list.insert(0, np.mean(viff_list))
name_list.insert(0, 'mean')
# 计算标准差
sd_list.insert(1, np.std(sd_list))
ag_list.insert(1, np.std(ag_list))
sf_list.insert(1, np.std(sf_list))
mse_list.insert(1, np.std(mse_list))
psnr_list.insert(1, np.std(psnr_list))
cc_list.insert(1, np.std(cc_list))
scd_list.insert(1, np.std(scd_list))
en_list.insert(1, np.std(en_list))
ce_list.insert(1, np.std(ce_list))
mi_list.insert(1, np.std(mi_list))
qabf_list.insert(1, np.std(qabf_list))
nabf_list.insert(1, np.std(nabf_list))
labf_list.insert(1, np.std(labf_list))
ssim_list.insert(1, np.std(ssim_list))
msssim_list.insert(1, np.std(msssim_list))
viff_list.insert(1, np.std(viff_list))
name_list.insert(1, 'std')
if sheet_name == 'method':
# 插入名字
sd_list.insert(0, f'{"SD"}')
ag_list.insert(0, f'{"AG"}')
sf_list.insert(0, f'{"SF"}')
mse_list.insert(0, f'{"MSE"}')
psnr_list.insert(0, f'{"PSNR"}')
cc_list.insert(0, f'{"CC"}')
scd_list.insert(0, f'{"SCD"}')
en_list.insert(0, f'{"EN"}')
ce_list.insert(0, f'{"CE"}')
mi_list.insert(0, f'{"MI"}')
qabf_list.insert(0, f'{"Qabf"}')
nabf_list.insert(0, f'{"Nabf"}')
labf_list.insert(0, f'{"Labf"}')
ssim_list.insert(0, f'{"SSIM"}')
msssim_list.insert(0, f'{"MSSSIM"}')
viff_list.insert(0, f'{"VIFF"}')
name_list.insert(0, '')
# 写入文件
write_excel(save_path, method_name, 0, name_list)
write_excel(save_path, method_name, 1, sd_list)
write_excel(save_path, method_name, 2, ag_list)
write_excel(save_path, method_name, 3, sf_list)
write_excel(save_path, method_name, 4, mse_list)
write_excel(save_path, method_name, 5, psnr_list)
write_excel(save_path, method_name, 6, cc_list)
write_excel(save_path, method_name, 7, scd_list)
write_excel(save_path, method_name, 8, en_list)
write_excel(save_path, method_name, 9, ce_list)
write_excel(save_path, method_name, 10, mi_list)
write_excel(save_path, method_name, 11, qabf_list)
write_excel(save_path, method_name, 12, nabf_list)
write_excel(save_path, method_name, 13, labf_list)
write_excel(save_path, method_name, 14, ssim_list)
write_excel(save_path, method_name, 15, msssim_list)
write_excel(save_path, method_name, 16, viff_list)
elif sheet_name == 'metric':
# 插入名字
sd_list.insert(0, f'{method_name}')
ag_list.insert(0, f'{method_name}')
sf_list.insert(0, f'{method_name}')
mse_list.insert(0, f'{method_name}')
psnr_list.insert(0, f'{method_name}')
cc_list.insert(0, f'{method_name}')
scd_list.insert(0, f'{method_name}')
en_list.insert(0, f'{method_name}')
ce_list.insert(0, f'{method_name}')
mi_list.insert(0, f'{method_name}')
qabf_list.insert(0, f'{method_name}')
nabf_list.insert(0, f'{method_name}')
labf_list.insert(0, f'{method_name}')
ssim_list.insert(0, f'{method_name}')
msssim_list.insert(0, f'{method_name}')
viff_list.insert(0, f'{method_name}')
name_list.insert(0, '')
# 写入文件
if i == 0:
write_excel(save_path, 'SD', 0, name_list)
write_excel(save_path, 'AG', 0, name_list)
write_excel(save_path, 'SF', 0, name_list)
write_excel(save_path, 'MSE', 0, name_list)
write_excel(save_path, 'PSNR', 0, name_list)
write_excel(save_path, 'CC', 0, name_list)
write_excel(save_path, 'SCD', 0, name_list)
write_excel(save_path, 'EN', 0, name_list)
write_excel(save_path, 'CE', 0, name_list)
write_excel(save_path, 'MI', 0, name_list)
write_excel(save_path, 'Qabf', 0, name_list)
write_excel(save_path, 'Nabf', 0, name_list)
write_excel(save_path, 'Labf', 0, name_list)
write_excel(save_path, 'SSIM', 0, name_list)
write_excel(save_path, 'MSSSIM', 0, name_list)
write_excel(save_path, 'VIFF', 0, name_list)
write_excel(save_path, 'SD', i + 1, sd_list)
write_excel(save_path, 'AG', i + 1, ag_list)
write_excel(save_path, 'SF', i + 1, sf_list)
write_excel(save_path, 'MSE', i + 1, mse_list)
write_excel(save_path, 'PSNR', i + 1, psnr_list)
write_excel(save_path, 'CC', i + 1, cc_list)
write_excel(save_path, 'SCD', i + 1, scd_list)
write_excel(save_path, 'EN', i + 1, en_list)
write_excel(save_path, 'CE', i + 1, ce_list)
write_excel(save_path, 'MI', i + 1, mi_list)
write_excel(save_path, 'Qabf', i + 1, qabf_list)
write_excel(save_path, 'Nabf', i + 1, nabf_list)
write_excel(save_path, 'Labf', i + 1, labf_list)
write_excel(save_path, 'SSIM', i + 1, ssim_list)
write_excel(save_path, 'MSSSIM', i + 1, msssim_list)
write_excel(save_path, 'VIFF', i + 1, viff_list)