updated path conflicts in examples/pcb-aoi/incremental_learning_bench

Signed-off-by: Aryan <nandaaryan823@gmail.com>
kubeedge · Feb 6, 2025 · 28b31a9 · 28b31a9
1 parent de8f2ea
commit 28b31a9
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Showing 6 changed files with 10 additions and 10 deletions.
diff --git a/...ench/fault detection/benchmarkingjob.yaml → ...ench/fault_detection/benchmarkingjob.yaml b/...ench/fault detection/benchmarkingjob.yaml → ...ench/fault_detection/benchmarkingjob.yaml
@@ -2,11 +2,11 @@ benchmarkingjob:
   # job name of bechmarking; string type;
   name: "benchmarkingjob"
   # the url address of job workspace that will reserve the output of tests; string type;
-  workspace: "/ianvs/incremental_learning_bench/workspace"
+  workspace: "./workspace/incremental_learning_bench"
 
   # the url address of test environment configuration file; string type;
   # the file format supports yaml/yml;
-  testenv: "./examples/pcb-aoi/incremental_learning_bench/testenv/testenv.yaml"
+  testenv: "./examples/pcb-aoi/incremental_learning_bench/fault_detection/testenv/testenv.yaml"
 
   # the configuration of test object
   test_object:
@@ -19,7 +19,7 @@ benchmarkingjob:
       - name: "fpn_incremental_learning"
         # the url address of test algorithm configuration file; string type;
         # the file format supports yaml/yml
-        url: "./examples/pcb-aoi/incremental_learning_bench/testalgorithms/fpn/fpn_algorithm.yaml"
+        url: "./examples/pcb-aoi/incremental_learning_bench/fault_detection/testalgorithms/fpn/fpn_algorithm.yaml"
 
   # the configuration of ranking leaderboard
   rank:

diff --git a/...detection/testalgorithms/fpn/basemodel.py → ...detection/testalgorithms/fpn/basemodel.py b/...detection/testalgorithms/fpn/basemodel.py → ...detection/testalgorithms/fpn/basemodel.py
diff --git a/...ion/testalgorithms/fpn/fpn_algorithm.yaml → ...ion/testalgorithms/fpn/fpn_algorithm.yaml b/...ion/testalgorithms/fpn/fpn_algorithm.yaml → ...ion/testalgorithms/fpn/fpn_algorithm.yaml
@@ -13,7 +13,7 @@ algorithm:
     #   1> "default": the dataset is evenly divided based train_ratio;
     splitting_method: "default"
   # the url address of initial model for model pre-training; string url;
-  initial_model_url: "/ianvs/initial_model/model.zip"
+  initial_model_url: "./initial_model/model.zip"
 
   # algorithm module configuration in the paradigm; list type;
   modules:
@@ -25,7 +25,7 @@ algorithm:
       # example: basemodel.py has BaseModel module that the alias is "FPN" for this benchmarking;
       name: "FPN"
       # the url address of python module; string type;
-      url: "./examples/pcb-aoi/incremental_learning_bench/testalgorithms/fpn/basemodel.py"
+      url: "./examples/pcb-aoi/incremental_learning_bench/fault_detection/testalgorithms/fpn/basemodel.py"
 
       # hyperparameters configuration for the python module; list type;
       hyperparameters:
@@ -44,7 +44,7 @@ algorithm:
       # name of python module; string type;
       name: "IBT"
       # the url address of python module; string type;
-      url: "./examples/pcb-aoi/incremental_learning_bench/testalgorithms/fpn/hard_example_mining.py"
+      url: "./examples/pcb-aoi/incremental_learning_bench/fault_detection/testalgorithms/fpn/hard_example_mining.py"
       # hyperparameters configuration for the python module; list type;
       hyperparameters:
         # name of the hyperparameter; string type;

diff --git a/...testalgorithms/fpn/hard_example_mining.py → ...testalgorithms/fpn/hard_example_mining.py b/...testalgorithms/fpn/hard_example_mining.py → ...testalgorithms/fpn/hard_example_mining.py
diff --git a/...bench/fault detection/testenv/f1_score.py → ...bench/fault_detection/testenv/f1_score.py b/...bench/fault detection/testenv/f1_score.py → ...bench/fault_detection/testenv/f1_score.py
diff --git a/...ench/fault detection/testenv/testenv.yaml → ...ench/fault_detection/testenv/testenv.yaml b/...ench/fault detection/testenv/testenv.yaml → ...ench/fault_detection/testenv/testenv.yaml
@@ -2,9 +2,9 @@ testenv:
   # dataset configuration
   dataset:
     # the url address of train dataset index; string type;
-    train_url: "/ianvs/dataset/train_data/index.txt"
+    train_index: "./dataset/train_data/index.txt"
     # the url address of test dataset index; string type;
-    test_url: "/ianvs/dataset/test_data/index.txt"
+    test_index: "./dataset/test_data/index.txt"
 
   # model eval configuration of incremental learning;
   model_eval:
@@ -13,7 +13,7 @@ testenv:
       # metric name; string type;
       name: "f1_score"
       # the url address of python file
-      url: "./examples/pcb-aoi/incremental_learning_bench/testenv/f1_score.py"
+      url: "./examples/pcb-aoi/incremental_learning_bench/fault_detection/testenv/f1_score.py"
 
     # condition of triggering inference model to update
     # threshold of the condition; types are float/int
@@ -27,7 +27,7 @@ testenv:
       # metric name; string type;
     - name: "f1_score"
       # the url address of python file
-      url: "./examples/pcb-aoi/incremental_learning_bench/testenv/f1_score.py"
+      url: "./examples/pcb-aoi/incremental_learning_bench/fault_detection/testenv/f1_score.py"
     - name: "samples_transfer_ratio"
 
   # incremental rounds setting of incremental learning; int type; default value is 2;