Add model files

inference_information.json

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+{
+    "all_results": {
+        "nnUNetTrainer__nnUNetPlans__2d": 0.9876604670612132
+    },
+    "best_model_or_ensemble": {
+        "postprocessing_file": "/home/gillesv/data/nnUNet_results/Dataset405_CAMUS_trainval_all/nnUNetTrainer__nnUNetPlans__2d/crossval_results_folds_0/postprocessing.pkl",
+        "result_on_crossval_post_pp": 0.9876604670612132,
+        "result_on_crossval_pre_pp": 0.9876604670612132,
+        "selected_model_or_models": [
+            {
+                "configuration": "2d",
+                "plans_identifier": "nnUNetPlans",
+                "trainer": "nnUNetTrainer"
+            }
+        ],
+        "some_plans_file": "/home/gillesv/data/nnUNet_results/Dataset405_CAMUS_trainval_all/nnUNetTrainer__nnUNetPlans__2d/crossval_results_folds_0/plans.json"
+    },
+    "considered_models": [
+        {
+            "configuration": "2d",
+            "plans": "nnUNetPlans",
+            "trainer": "nnUNetTrainer"
+        }
+    ],
+    "dataset_name_or_id": "Dataset405_CAMUS_trainval_all",
+    "ensembling_allowed": true,
+    "folds": [
+        0
+    ]
+}

inference_instructions.txt

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+***Run inference like this:***
+
+nnUNetv2_predict -d Dataset405_CAMUS_trainval_all -i INPUT_FOLDER -o OUTPUT_FOLDER -f  0 -tr nnUNetTrainer -c 2d -p nnUNetPlans
+
+***Once inference is completed, run postprocessing like this:***
+
+nnUNetv2_apply_postprocessing -i OUTPUT_FOLDER -o OUTPUT_FOLDER_PP -pp_pkl_file /home/gillesv/data/nnUNet_results/Dataset405_CAMUS_trainval_all/nnUNetTrainer__nnUNetPlans__2d/crossval_results_folds_0/postprocessing.pkl -np 8 -plans_json /home/gillesv/data/nnUNet_results/Dataset405_CAMUS_trainval_all/nnUNetTrainer__nnUNetPlans__2d/crossval_results_folds_0/plans.json

nnUNetTrainer__nnUNetPlans__2d.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:17378e604f0cb7f924e5b13cc88e0fe12144ab5f4b18bc5d015f782a11bf1ccf
+size 498850399