unify dataset dir in different configs

README.md

@@ -27,11 +27,7 @@ An example result from inference is shown below:
 **This is a demonstration network meant to just show the training process for this sort of network with MONAI. To achieve better performance, users need to use larger dataset like [Brats 2021](https://www.synapse.org/#!Synapse:syn25829067/wiki/610865) and have GPU with memory larger than 32G to enable larger networks and attention layers.**
 
 ## MONAI Generative Model Dependencies
-[MONAI generative models](https://github.com/Project-MONAI/GenerativeModels) can be installed by
-```
-pip install lpips==0.1.4
-pip install git+https://github.com/Project-MONAI/GenerativeModels.git@0.2.1
-```
+This bundle requires to install [MONAI generative models](https://github.com/Project-MONAI/GenerativeModels).
 
 ## Data
 The training data is BraTS 2016 and 2017 from the Medical Segmentation Decathalon. Users can find more details on the dataset (`Task01_BrainTumour`) at http://medicaldecathlon.com/.

configs/inference_autoencoder.json

@@ -6,7 +6,7 @@
     ],
     "bundle_root": ".",
     "model_dir": "$@bundle_root + '/models'",
-    "dataset_dir": "@bundle_root",
+    "dataset_dir": "/workspace/data/medical",
     "output_dir": "$@bundle_root + '/output'",
     "create_output_dir": "$Path(@output_dir).mkdir(exist_ok=True)",
     "device": "$torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')",

configs/metadata.json

@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_generator_ldm_20230507.json",
-    "version": "1.0.1",
+    "version": "1.0.2",
     "changelog": {
+        "1.0.2": "unify dataset dir in different configs",
         "1.0.1": "update dependency, update trained model weights",
         "1.0.0": "Initial release"
     },

docs/README.md

@@ -20,11 +20,7 @@ An example result from inference is shown below:
 **This is a demonstration network meant to just show the training process for this sort of network with MONAI. To achieve better performance, users need to use larger dataset like [Brats 2021](https://www.synapse.org/#!Synapse:syn25829067/wiki/610865) and have GPU with memory larger than 32G to enable larger networks and attention layers.**
 
 ## MONAI Generative Model Dependencies
-[MONAI generative models](https://github.com/Project-MONAI/GenerativeModels) can be installed by
-```
-pip install lpips==0.1.4
-pip install git+https://github.com/Project-MONAI/GenerativeModels.git@0.2.1
-```
+This bundle requires to install [MONAI generative models](https://github.com/Project-MONAI/GenerativeModels).
 
 ## Data
 The training data is BraTS 2016 and 2017 from the Medical Segmentation Decathalon. Users can find more details on the dataset (`Task01_BrainTumour`) at http://medicaldecathlon.com/.