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- # All rights `PaddleDetection` reserved
- #!/bin/bash
- model_dir=$1
- model_name=$2
- export img_dir="demo"
- export log_path="output_pipeline"
- echo "model_dir : ${model_dir}"
- echo "img_dir: ${img_dir}"
- # TODO: support batch size>1
- for run_mode in "trt_int8"; do
- echo "${model_name} ${model_dir}, run_mode: ${run_mode}"
- python deploy/python/infer.py \
- --model_dir=${model_dir} \
- --run_benchmark=True \
- --device=GPU \
- --run_mode=${run_mode} \
- --image_dir=${img_dir} 2>&1 | tee ${log_path}/${model_name}_gpu_runmode_${run_mode}_bs1_infer.log
- done
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