当前位置: 首页 > news >正文

A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.2 as it may crash. To support

问题描述:在跑一个目标追踪的项目时,出现了下面的这个错误。

A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.2 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. If you are a user of the module, the easiest solution will be to downgrade to 'numpy<2' or try to upgrade the affected module. We expect that some modules will need time to support NumPy 2. Traceback (most recent call last): File "/home/aq/Yolov7-tracker/tracker/track_demo.py", line 22, in <module> from trackers.byte_tracker import ByteTracker File "/home/aq/Yolov7-tracker/tracker/trackers/byte_tracker.py", line 9, in <module> from .matching import * File "/home/aq/Yolov7-tracker/tracker/trackers/matching.py", line 14, in <module> from torchvision.ops import box_iou File "/home/aq/miniconda3/envs/tracker/lib/python3.9/site-packages/torchvision/__init__.py", line 7, in <module> from torchvision import models File "/home/aq/miniconda3/envs/tracker/lib/python3.9/site-packages/torchvision/models/__init__.py", line 16, in <module> from . import detection File "/home/aq/miniconda3/envs/tracker/lib/python3.9/site-packages/torchvision/models/detection/__init__.py", line 1, in <module> from .faster_rcnn import * File "/home/aq/miniconda3/envs/tracker/lib/python3.9/site-packages/torchvision/models/detection/faster_rcnn.py", line 16, in <module> from .anchor_utils import AnchorGenerator File "/home/aq/miniconda3/envs/tracker/lib/python3.9/site-packages/torchvision/models/detection/anchor_utils.py", line 10, in <module> class AnchorGenerator(nn.Module): File "/home/aq/miniconda3/envs/tracker/lib/python3.9/site-packages/torchvision/models/detection/anchor_utils.py", line 63, in AnchorGenerator device: torch.device = torch.device("cpu"), /home/aq/miniconda3/envs/tracker/lib/python3.9/site-packages/torchvision/models/detection/anchor_utils.py:63: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:68.)

问题解答:

含义:

你当前环境里装的是NumPy 2.0.2。但你环境里某些 Python 包(典型是torch/torchvision或依赖 C/C++ 扩展的包)是按NumPy 1.x的 ABI 编译的。

NumPy 2 改了底层 ABI(数组接口),导致这些旧编译的扩展模块无法正常工作,于是 NumPy 功能会“不可用”或崩溃风险。

✅ 这不是“提醒”,它几乎等于在说:

你这个环境里 NumPy 用不了,后面用到 from_numpy 就会炸。

##########################
有个博主说用1.22.4,实际上会出现第二种错误,即Matplotlib错误。

2025-12-16 15:29:08.318 | WARNING | trackers.reid_models.engine:<module>:29 - Load TensorRT fail. If you want to convert model to TensorRT, please install the packages. Traceback (most recent call last): File "/home/aq/Yolov7-tracker/tracker/track_demo.py", line 24, in <module> from trackers.botsort_tracker import BotTracker File "/home/aq/Yolov7-tracker/tracker/trackers/botsort_tracker.py", line 18, in <module> from .camera_motion_compensation.cmc import GMC File "/home/aq/Yolov7-tracker/tracker/trackers/camera_motion_compensation/cmc.py", line 4, in <module> import matplotlib.pyplot as plt File "/home/aq/miniconda3/envs/tracker/lib/python3.9/site-packages/matplotlib/__init__.py", line 263, in <module> _check_versions() File "/home/aq/miniconda3/envs/tracker/lib/python3.9/site-packages/matplotlib/__init__.py", line 259, in _check_versions raise ImportError(f"Matplotlib requires {modname}>={minver}; " ImportError: Matplotlib requires numpy>=1.23; you have 1.22.4

然后按照提示,我修改成了

pip install "numpy==1.23.5"
发现可以的。

http://www.cnnetsun.cn/news/92438.html

相关文章:

  • 如何快速实现Unity游戏多语言支持:新手完整指南
  • [漫画]《软件方法》逃避思考的伪创新舒适区
  • [漫画]喜欢自编图形的遮羞布
  • LobeChat能否支持星际语言翻译?外星文明假说沟通模型构建
  • 软考 系统架构设计师系列知识点之面向服务架构设计理论与实践(16)
  • J2EE技术及应用实验及报告(黑龙江大学)
  • AI农情数据要素服务平台:让种地靠数据,丰产不盲目
  • JavaScript学习笔记:14.类型数组
  • LobeChat能否定制品牌LOGO?白标解决方案
  • navigatetominiprogram实战应用案例分享
  • 1小时验证创意:右键菜单管理工具原型开发
  • LobeChat能否对接土卫六湖泊数据?甲烷循环与外星地貌研究
  • Axolotl推理缓存:5倍性能提升与70%成本优化的架构革命
  • vue3事件处理详解
  • YOLO目标检测入门:手把手教你跑通第一个demo
  • 1小时搭建:VSCode远程开发环境原型
  • 电商项目实战:Vue3父子组件传值最佳实践
  • 【LLM基础教程】从序列切分到上下文窗口01_为什么序列建模必须切分数据
  • 备赛三--
  • 高并发时代的“确定性”挑战——为何稳定性正在成为 JVM 的下一场核心竞争?
  • C语言之最大公约数和最小公倍数问题
  • LobeChat能否对接Telegram Bot?跨平台消息同步实现
  • AI如何用博图加速工业自动化开发
  • C++:二叉搜索树(BST)完全指南(从概念原理、核心操作到底层实现)
  • Splashtop AEM 在 G2冬季报告中斩获“最佳预估 ROI”殊荣
  • 赋能传统硬件:具身智能如何激活工业机器人的二次生命
  • 【模板:求组合数】信息学奥赛一本通 1648:【例 1】「NOIP2011」计算系数 | 1866:【11NOIP提高组】计算系数 | 洛谷 P1313 [NOIP 2011 提高组] 计算系数
  • 金运环球:金价高位回落,非农与零售数据即将来袭
  • 活动力度大的门头招牌企业
  • 【毕业设计】基于JavaWeb的兽医站管理系统的设计与实现(源码+文档+远程调试,全bao定制等)