remove error dollar symbol in readme
Browse files- README.md +7 -1
- configs/metadata.json +3 -2
- docs/README.md +7 -1
README.md
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@@ -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
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### Input
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1 channel
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@@ -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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python -m monai.bundle run --config_file configs/train.json --dataset_dir <actual dataset path>
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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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configs/metadata.json
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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.
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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",
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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.
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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": {
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docs/README.md
CHANGED
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@@ -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
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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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#### 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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python -m monai.bundle run --config_file configs/train.json --dataset_dir <actual dataset path>
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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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