37 lines
1.4 KiB
Bash
37 lines
1.4 KiB
Bash
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#!/usr/bin/env bash
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set -euo pipefail
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ANALYSIS_REPORT=${ANALYSIS_REPORT:-/data1/dongying/Mono3d/G1Q3/model_inference/KPI/DL_KPI_SCENE/model_20260403_analysis/analysis_3d/analysis_report.json}
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CONFIG_PATH=${CONFIG_PATH:-eval_tools/configs/eval_config_yolov26s-roi0.yaml}
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OUTPUT_BASE=${OUTPUT_BASE:-$(dirname "${ANALYSIS_REPORT}")/visualizations_distance}
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TOP_K=${TOP_K:-300}
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TOP_K_PER_DISTANCE_BIN=${TOP_K_PER_DISTANCE_BIN:-50}
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METRICS=(longitudinal_error heading_error reversal)
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CLASSES=(car suv van bus truck pedestrian bicycle)
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PYTHON_BIN=${PYTHON_BIN:-/deeplearning_team/ydong/dongying/miniconda/envs/dev/bin/python}
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for metric_name in "${METRICS[@]}"; do
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for class_name in "${CLASSES[@]}"; do
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output_dir="${OUTPUT_BASE}/${metric_name}_vis_${class_name}"
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echo "============================================================"
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echo "Running 3D visualization"
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echo " metric: ${metric_name}"
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echo " class: ${class_name}"
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echo " output: ${output_dir}"
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echo "============================================================"
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"${PYTHON_BIN}" eval_tools/analysis/visualize_3d_badcases.py \
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--analysis-report "${ANALYSIS_REPORT}" \
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--config "${CONFIG_PATH}" \
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--metrics "${metric_name}" \
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--classes "${class_name}" \
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--top-k "${TOP_K}" \
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--top-k-per-distance-bin "${TOP_K_PER_DISTANCE_BIN}" \
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--group-by-distance-bin \
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--output-dir "${output_dir}"
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done
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done
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