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Update GETTING_STARTED.md
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- `WEIGHT_FILE`: the output backbone weights file, e.g., `odc_v1.pth`.
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- `WEIGHT_FILE`: the output backbone weights file, e.g., `odc_v1.pth`.
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2. Next, run detection. For more details to setup the environments for detection, please refer [here](benchmarks/detection/README.md).
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2. Next, run detection. For more details to setup the environments for detection, please refer [here](benchmarks/detection/README.md).
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```shell
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```shell
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conda activate detectron2
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conda activate detectron2
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cd benchmarks/detection
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cd benchmarks/detection
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python convert-pretrain-to-detectron2.py ${WEIGHT_FILE} ${OUTPUT_FILE} # must use .pkl as the output extension.
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python convert-pretrain-to-detectron2.py ${WEIGHT_FILE} ${OUTPUT_FILE} # must use .pkl as the output extension.
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bash run.sh ${DET_CFG} ${OUTPUT_FILE}
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bash run.sh ${DET_CFG} ${OUTPUT_FILE}
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```
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```
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Arguments:
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Arguments:
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- `DET_CFG`: the detectron2 config file, usually we use `configs/pascal_voc_R_50_C4_24k_moco.yaml`.
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- `DET_CFG`: the detectron2 config file, usually we use `configs/pascal_voc_R_50_C4_24k_moco.yaml`.
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- `OUTPUT_FILE`: converted backbone weights file, e.g., `odc_v1.pkl`.
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- `OUTPUT_FILE`: converted backbone weights file, e.g., `odc_v1.pkl`.
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**Note**:
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**Note**:
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- This benchmark must use 8 GPUs as the default setting from MoCo.
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- This benchmark must use 8 GPUs as the default setting from MoCo.
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@ -136,7 +136,7 @@ python tools/publish_model.py ${WEIGHT_FILE}
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You may refer to existing modules under respective folders.
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You may refer to existing modules under respective folders.
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#### Features may facilitate your implementation
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#### Features that may facilitate your implementation
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* Decoupled data source and dataset.
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* Decoupled data source and dataset.
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