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refactor(test_IVF): 重构测试代码以提高灵活性和可维护性

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- 引入变量 pth_path 以动态构建模型权重路径
- 使用 pth_path替代直接使用时间戳创建输出文件夹
- 优化代码结构，提高可读性和可维护性
This commit is contained in:
zjut 2024-11-18 09:31:58 +08:00
parent 6738c9057d
commit f87a65e68e
1 changed files with 4 additions and 2 deletions
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test_IVF.py
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@ -17,14 +17,16 @@ current_time = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
os.environ["CUDA_VISIBLE_DEVICES"] = "0" os.environ["CUDA_VISIBLE_DEVICES"] = "0"
ckpt_path= r"/home/star/whaiDir/PFCFuse/models/whaiFusion11-15-17-48.pth" pth_path = "whaiFusion11-15-17-48"
ckpt_path= r"/home/star/whaiDir/PFCFuse/models/"+pth_path+".pth"
print("path_pth:{}".format(ckpt_path))
for dataset_name in ["sar"]: for dataset_name in ["sar"]:
print("\n"*2+"="*80) print("\n"*2+"="*80)
model_name="PFCFuse 最基本版本 " model_name="PFCFuse 最基本版本 "
print("The test result of "+dataset_name+' :') print("The test result of "+dataset_name+' :')
test_folder = os.path.join('test_img', dataset_name) test_folder = os.path.join('test_img', dataset_name)
test_out_folder=os.path.join('test_result',current_time,dataset_name) test_out_folder=os.path.join('test_result',pth_path,dataset_name)
device = 'cuda' if torch.cuda.is_available() else 'cpu' device = 'cuda' if torch.cuda.is_available() else 'cpu'
Encoder = nn.DataParallel(Restormer_Encoder()).to(device) Encoder = nn.DataParallel(Restormer_Encoder()).to(device)