colab-notebookhigh-resolutioncolabgenerative-adversarial-networkscnngenerative-adversarial-networkganfourier-transformfourier-convolutionspytorchfourierinpainting-methodsdeep-neural-networksinpainting-algorithmdeep-learninginpaintingcomputer-visionimage-inpainting
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35 lines
799 B
35 lines
799 B
#!/usr/bin/env bash |
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if (( $# < 3 )) |
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then |
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echo "Usage: $0 model_dir input_dir output_dir [other arguments to predict.py]" |
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exit 1 |
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fi |
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CURDIR="$(dirname $0)" |
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SRCDIR="$CURDIR/.." |
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SRCDIR="$(realpath $SRCDIR)" |
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MODEL_LOCAL_DIR="$(realpath $1)" |
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INPUT_LOCAL_DIR="$(realpath $2)" |
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OUTPUT_LOCAL_DIR="$(realpath $3)" |
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shift 3 |
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mkdir -p "$OUTPUT_LOCAL_DIR" |
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docker run \ |
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-v "$SRCDIR":/home/user/project \ |
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-v "$MODEL_LOCAL_DIR":/data/checkpoint \ |
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-v "$INPUT_LOCAL_DIR":/data/input \ |
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-v "$OUTPUT_LOCAL_DIR":/data/output \ |
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-u $(id -u):$(id -g) \ |
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--name="lama-predict" \ |
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--rm \ |
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windj007/lama \ |
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/home/user/project/bin/predict.py \ |
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model.path=/data/checkpoint \ |
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indir=/data/input \ |
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outdir=/data/output \ |
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dataset.img_suffix=.png \ |
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$@
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