博观约取，厚积薄发

YOLOv5 作者说两者不兼容，他在新的代码中添加了一个提示。不开启 --image-weights 参数。

使用了 模型（如YOLOv5/v7） detec.py 保存的 YOLO 格式的结果，包括测试的图像和对应的 txt 文件。模型跑出来的结果可能不够准确，需要手工修正下，因此我需要使用 labelimg 来可视化图像，并且修改其标注信息。

vscode debug，无法在第三方库上打断点

错误：ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject解决：pip install --upgrade numpy -i https://pypi.tuna.tsinghua.edu.cn/simple

LOAD DATA INFILE '/home/xx/xxx.csv'当我使用 上面的 SQL 语句将 csv 文件 导入 mysql 时候，出错：ERROR 1290 (HY000): The MySQL server is running with the --secure-file-priv option so it cannot execute this statement查看官方文档，secure_file_priv参数用于限制LOAD DATA, SELECT …OUTFIL.

错误：ValueError: Protocol not known: ..."http...解决：import iowith open('xx.json') as f: line = f.readline()pd.read_json(io.StringIO(line)).shape参考：Bug with read_json from str reporting "Protocol not known" · Issue #43594 · pandas-dev/pandas ..

1. 错误提示：“princexml” is required to be installed.2. 解决：需要安装 princesudo dpkg -i prince_14.2-1_ubuntu20.04_amd64.deb 预览，右键选择PDF(prince)即可。安装的插件：Markdown All in One，Markdown Preview Enhanced， vscode-pdf(打开PDF文件)。...

ValueError: could not broadcast input array from shape (150528,) into shape (602112,)[TensorRT] ERROR: 1: [hardwareContext.cpp::terminateCommonContext::141] Error Code 1: Cuda Runtime (invalid device context)[TensorRT] INTERNAL ERROR: [defaultAllocator.c

在 GitHub - shouxieai/tensorRT_Pro: C++ library based on tensorrt integration工程中升级 tensorrt版本后一直编译不通过make: *** No rule to make target '/usr/include/cublas_v2.h', needed by 'objs/tensorRT/builder/trt_builder.o'. Stop.直到看到了make: *** No rule to make tar.

--------------------------------------C++ Traceback (most recent call last):--------------------------------------No stack trace in paddle, may be caused by external reasons.----------------------Error Message Summary:----------------------FatalErr

错误：raise ImportError('TensorBoard logging requires TensorBoard version 1.15 or above')ImportError: TensorBoard logging requires TensorBoard version 1.15 or above检查：from tensorboard import versionprint(version.VERSION)输出：1.14.0xxx原因：已安装了1.15.0的te