monai
medical
katielink commited on
Commit
31dc790
1 Parent(s): 0b6e1fc

remove error dollar symbol in readme

Browse files
Files changed (3) hide show
  1. README.md +7 -1
  2. configs/metadata.json +3 -2
  3. docs/README.md +7 -1
README.md CHANGED
@@ -45,7 +45,7 @@ The training as performed with the following:
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  ### Memory Consumption Warning
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- If you face memory issues with CacheDataset, you can either switch to a regular Dataset class or lower the caching rate `cache_rate` in the configurations within range $(0, 1)$ to minimize the System RAM requirements.
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  ### Input
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  1 channel
@@ -89,6 +89,12 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
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  python -m monai.bundle run --config_file configs/train.json
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  ```
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  #### Override the `train` config to execute multi-GPU training:
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  ```
 
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  ### Memory Consumption Warning
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+ If you face memory issues with CacheDataset, you can either switch to a regular Dataset class or lower the caching rate `cache_rate` in the configurations within range [0, 1] to minimize the System RAM requirements.
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  ### Input
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  1 channel
 
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  python -m monai.bundle run --config_file configs/train.json
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  ```
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+ Please note that if the default dataset path is not modified with the actual path in the bundle config files, you can also override it by using `--dataset_dir`:
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+
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+ ```
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+ python -m monai.bundle run --config_file configs/train.json --dataset_dir <actual dataset path>
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+ ```
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+
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  #### Override the `train` config to execute multi-GPU training:
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  ```
configs/metadata.json CHANGED
@@ -1,7 +1,8 @@
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  {
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  "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
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- "version": "0.4.8",
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  "changelog": {
 
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  "0.4.8": "add RAM usage with CacheDataset",
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  "0.4.7": "deterministic retrain benchmark",
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  "0.4.6": "fix mgpu finalize issue",
@@ -25,7 +26,7 @@
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  "0.1.0": "complete the model package",
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  "0.0.1": "initialize the model package structure"
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  },
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- "monai_version": "1.2.0rc4",
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  "pytorch_version": "1.13.1",
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  "numpy_version": "1.22.2",
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  "optional_packages_version": {
 
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  {
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  "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
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+ "version": "0.4.9",
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  "changelog": {
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+ "0.4.9": "remove error dollar symbol in readme",
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  "0.4.8": "add RAM usage with CacheDataset",
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  "0.4.7": "deterministic retrain benchmark",
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  "0.4.6": "fix mgpu finalize issue",
 
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  "0.1.0": "complete the model package",
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  "0.0.1": "initialize the model package structure"
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  },
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+ "monai_version": "1.2.0rc6",
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  "pytorch_version": "1.13.1",
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  "numpy_version": "1.22.2",
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  "optional_packages_version": {
docs/README.md CHANGED
@@ -38,7 +38,7 @@ The training as performed with the following:
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  ### Memory Consumption Warning
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- If you face memory issues with CacheDataset, you can either switch to a regular Dataset class or lower the caching rate `cache_rate` in the configurations within range $(0, 1)$ to minimize the System RAM requirements.
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  ### Input
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  1 channel
@@ -82,6 +82,12 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
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  python -m monai.bundle run --config_file configs/train.json
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  ```
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  #### Override the `train` config to execute multi-GPU training:
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  ```
 
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  ### Memory Consumption Warning
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+ If you face memory issues with CacheDataset, you can either switch to a regular Dataset class or lower the caching rate `cache_rate` in the configurations within range [0, 1] to minimize the System RAM requirements.
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  ### Input
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  1 channel
 
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  python -m monai.bundle run --config_file configs/train.json
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  ```
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+ Please note that if the default dataset path is not modified with the actual path in the bundle config files, you can also override it by using `--dataset_dir`:
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+
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+ ```
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+ python -m monai.bundle run --config_file configs/train.json --dataset_dir <actual dataset path>
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+ ```
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+
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  #### Override the `train` config to execute multi-GPU training:
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  ```