build(.idea): 更新项目配置并调整测试脚本
- 更新 ProjectRootManager 配置,切换到本地 Python 3.8环境 - 修改模块配置,使用继承的 JDK - 更新测试脚本,使用变量 pth_path 代替硬编码的模型路径- 优化测试结果输出目录结构
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@ -2,7 +2,7 @@
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<module type="PYTHON_MODULE" version="4">
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$" />
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<content url="file://$MODULE_DIR$" />
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<orderEntry type="jdk" jdkName="Remote Python 3.8.10 (sftp://star@192.168.50.108:22/home/star/anaconda3/envs/pfcfuse/bin/python)" jdkType="Python SDK" />
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<orderEntry type="inheritedJdk" />
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<orderEntry type="sourceFolder" forTests="false" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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</component>
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<component name="PyDocumentationSettings">
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<component name="PyDocumentationSettings">
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@ -12,5 +12,5 @@
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</MavenGeneralSettings>
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</MavenGeneralSettings>
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</option>
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</option>
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</component>
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</component>
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<component name="ProjectRootManager" version="2" project-jdk-name="Remote Python 3.8.10 (sftp://star@192.168.50.108:22/home/star/anaconda3/envs/pfcfuse/bin/python)" project-jdk-type="Python SDK" />
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8 (pfcfuse)" project-jdk-type="Python SDK" />
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</project>
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</project>
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@ -17,14 +17,16 @@ current_time = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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ckpt_path= r"/home/star/whaiDir/PFCFuse/models/whaiFusion11-17-10-34.pth"
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pth_path = "whaiFusion11-17-20-18"
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ckpt_path= r"/home/star/whaiDir/PFCFuse/models/"+pth_path+".pth"
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print("path_pth:{}".format(ckpt_path))
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for dataset_name in ["sar"]:
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for dataset_name in ["sar"]:
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print("\n"*2+"="*80)
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print("\n"*2+"="*80)
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model_name="PFCFuse Enhance 增加widthblock"
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model_name=pth_path
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print("The test result of "+dataset_name+' :')
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print("The test result of "+dataset_name+' :')
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test_folder = os.path.join('test_img', dataset_name)
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test_folder = os.path.join('test_img', dataset_name)
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test_out_folder=os.path.join('test_result',current_time,dataset_name)
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test_out_folder=os.path.join('test_result',pth_path,dataset_name)
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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Encoder = nn.DataParallel(Restormer_Encoder()).to(device)
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Encoder = nn.DataParallel(Restormer_Encoder()).to(device)
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