日志文件更新和测试脚本扩展

- 在日志文件中添加了PFCFuse模型的详细配置信息，包括模型参数和训练

logs/log_20241009_120404.log

@@ -0,0 +1 @@
+2.4.1+cu121
True
Model: PFCFuse
Number of epochs: 60
Epoch gap: 40
Learning rate: 0.0001
Weight decay: 0
Batch size: 1
GPU number: 0
Coefficient of MSE loss VF: 1.0
Coefficient of MSE loss IF: 1.0
Coefficient of RMI loss VF: 1.0
Coefficient of RMI loss IF: 1.0
Coefficient of Cosine loss VF: 1.0
Coefficient of Cosine loss IF: 1.0
Coefficient of Decomposition loss: 2.0
Coefficient of Total Variation loss: 5.0
Clip gradient norm value: 0.01
Optimization step: 20
Optimization gamma: 0.5

test_IVF.py

@@ -19,7 +19,7 @@ current_time = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
 os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 ckpt_path= r"/home/star/whaiDir/PFCFuse/models/whaiFusion10-08-16-20.pth"
 
-for dataset_name in ["TNO","RoadScene"]:
+for dataset_name in ["TNO","RoadScene","sar"]:
     print("\n"*2+"="*80)
     model_name="PFCFuse    "
     print("The test result of "+dataset_name+' :')