Initial commit: DCNv4 custom op mirror setup
- Add enhanced README with project structure and quick start guide - Initialize repository with DCNv4 CUDA extension (PyTorch module) - Include classification, detection, and segmentation subdirectories - Reference upstream OpenGVLab DCNv4 implementation Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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detection/dist_test.sh
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detection/dist_test.sh
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#!/usr/bin/env bash
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CONFIG=$1
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CHECKPOINT=$2
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GPUS=$3
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PORT=${PORT:-29511}
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PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
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python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \
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$(dirname "$0")/test.py $CONFIG $CHECKPOINT --launcher pytorch ${@:4}
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