replace software for opensource

这段摘要包含了博客的关键信息,忽略信息技术无关的内容。
http://www.cnblogs.com/jamin/archive/2011/10/17/2214540.html
内容概要:本文介绍了ENVI Deep Learning V1.0的操作教程,重点讲解了如何利用ENVI软件进行深度学习模型的训练与应用,以实现遥感图像中特定目标(如集装箱)的自动提取。教程涵盖了从数据准备、标签图像创建、模型初始化与训练,到执行分类及结果优化的完整流程,并介绍了精度评价与通过ENVI Modeler实现一键化建模的方法。系统基于TensorFlow框架,采用ENVINet5(U-Net变体)架构,支持通过点、线、面ROI或分类图生成标签数据,适用于多/高光谱影像的单一类别特征提取。; 适合人群:具备遥感图像处理基础,熟悉ENVI软件操作,从事地理信息、测绘、环境监测等相关领域的技术人员或研究人员,尤其是希望将深度学习技术应用于遥感目标识别的初学者与实践者。; 使用场景及目标:①在遥感影像中自动识别和提取特定地物目标(如车辆、建筑、道路、集装箱等);②掌握ENVI环境下深度学习模型的训练流程与关键参数设置(如Patch Size、Epochs、Class Weight等);③通过模型调优与结果反馈提升分类精度,实现高效自动化信息提取。; 阅读建议:建议结合实际遥感项目边学边练,重点关注标签数据制作、模型参数配置与结果后处理环节,充分利用ENVI Modeler进行自动化建模与参数优化,同时注意软硬件环境(特别是NVIDIA GPU)的配置要求以保障训练效率。
OpenOCD (Open On-Chip Debugger) is a free and open-source software tool that provides debugging and programming support for various embedded systems, such as microcontrollers and System-on-Chips (SoCs). OpenOCD supports a wide range of hardware interfaces and debuggers, including JTAG, SWD, and GDB. To use OpenOCD on the Windows platform, follow these steps: 1. Download the latest version of OpenOCD from the official website: https://openocd.org/getting-started/. Choose the appropriate version for your Windows platform (32-bit or 64-bit). 2. Extract the downloaded archive to a folder on your computer, such as "C:\OpenOCD". 3. Connect your hardware interface or debugger to your computer, and make sure it is properly configured and recognized by your operating system. 4. Open a command prompt window and navigate to the folder where you extracted OpenOCD. 5. To start OpenOCD, run the following command: `bin\openocd.exe -f interface/<interface>.cfg -f target/<target>.cfg` Replace `<interface>` with the name of your hardware interface (e.g., "jlink") and `<target>` with the name of your target device (e.g., "stm32f4x"). 6. If OpenOCD starts successfully, you should see output similar to the following: ``` Open On-Chip Debugger 0.10.0+dev-01058-gd5b7d6c (2018-11-28-13:57) Licensed under GNU GPL v2 For bug reports, read http://openocd.org/doc/doxygen/bugs.html Info : auto-selecting first available session transport "jtag". To override use 'transport select <transport>'. Info : The selected transport took over low-level target control. The results might differ compared to plain JTAG/SWD adapter speed: 1000 kHz adapter_nsrst_delay: 100 adapter_nsrst_assert_width: 100 Info : clock speed 1000 kHz Info : JTAG tap: stm32f4x.cpu tap/device found: 0x4ba00477 (mfg: 0x23b, part: 0xba00, ver: 0x4) ``` 7. Once OpenOCD is running, you can use a debugger or other software tool to connect to it and perform debugging and programming operations on your target device. Note that OpenOCD requires a certain level of technical expertise to use effectively, and may require additional configuration or customization depending on your specific hardware and software environment. Be sure to consult the official documentation and user forums for additional guidance and support.
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