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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
修复numpy和transformers兼容性问题
"""
import subprocess
import sys
def run_command(command):
"""运行命令并打印输出"""
print(f"执行: {command}")
result = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
if result.stdout:
print(result.stdout.decode('utf-8'))
if result.stderr:
print(f"错误: {result.stderr.decode('utf-8')}")
return result.returncode == 0
def main():
"""修复环境问题"""
print("开始修复环境问题...")
# 第1步：卸载当前的numpy和transformers
print("步骤1: 卸载当前的numpy和transformers")
run_command("pip uninstall -y numpy transformers")
# 第2步：安装兼容的numpy版本
print("步骤2: 安装兼容的numpy版本")
run_command("pip install numpy==1.23.5")
# 第3步：安装兼容的transformers版本
print("步骤3: 安装兼容的transformers版本")
run_command("pip install transformers==4.26.1")
# 第4步：安装pydantic v1版本
print("步骤4: 安装pydantic v1版本")
run_command("pip uninstall -y pydantic")
run_command("pip install pydantic==1.10.8")
# 第5步：安装CLIP模型
print("步骤5: 安装CLIP模型")
run_command("pip install ftfy regex")
run_command("pip install git+https://github.com/openai/CLIP.git")
print("\n环境修复完成!")
print("请使用以下命令重新运行你的脚本:")
print("python batch_process.py --txt_path /home/wangjuntong/VQA_model/dataset/video_editing_score/video_quality_with_prompts.txt --output_path /home/wangjuntong/VQA_model/PickScore-main/output")
if __name__ == "__main__":
main() |