35 lines
1.2 KiB
Bash
35 lines
1.2 KiB
Bash
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#!/bin/bash
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#
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# 根据 evaluation_report.json 自动生成单模型 Markdown 评测报告
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#
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# 用法:
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# bash eval_tools/model_comparison/gen_eval_report.sh <evaluation_report.json>
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# bash eval_tools/model_comparison/gen_eval_report.sh <evaluation_report.json> [--output <输出路径>] [--model "模型名"] [--date YYYY-MM-DD]
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#
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# 示例:
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# bash eval_tools/model_comparison/gen_eval_report.sh \
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# evaluation_results/.../evaluation_report.json
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#
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# bash eval_tools/model_comparison/gen_eval_report.sh \
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# evaluation_results/.../evaluation_report.json \
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# --model yolov5s-300w-newdata-cncap \
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# --date 2026-02-28
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set -e
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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PROJECT_ROOT="$(cd "${SCRIPT_DIR}/../.." && pwd)"
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export PYTHONPATH="${PROJECT_ROOT}:${PYTHONPATH}"
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if [ $# -eq 0 ]; then
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echo "用法: bash $0 <evaluation_report.json> [选项...]"
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echo ""
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echo "选项:"
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echo " --output/-o <路径> 输出 Markdown 文件路径（默认：JSON 同目录下的 EVALUATION_REPORT.md）"
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echo " --model <名称> 模型名称（默认从目录名推断）"
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echo " --date <YYYY-MM-DD> 评测日期（默认：今天）"
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exit 1
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fi
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python "${SCRIPT_DIR}/generate_eval_report.py" "$@"
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