安卓手机各种定制化的系统,真的是一言难尽。尤其是国内的这些手机厂商各种定制化的系统,底层修改加上深度定制。也就导致了为了适应国内的手机厂商系统,要做大量的工作。
Uniapp 原生插件开发
闺蜜圈(大姨妈记录)2.0.06 APP/H5/小程序
JEB-5.5.0.202311022109 Cracked
JEB is a reverse-engineering platform to perform disassembly, decompilation, debugging, and analysis of code and document files, manually or as part of an analysis pipeline.
JEB Decompiler 4.28.1.202303082239
- fix all integrity checks\timebomb - Time-limited sessions fixed - Requires an Internet connection fixed - dexdec: fix string decrypt via emulation - dexdec: instruction conversion recovered - gui: Usage of the clipboard is disallowed fixed - jdb2: Saving or loading projects is disabled fixed - android debug enabled - android native debug enabled - avrdec: decompiler enabled - Decompiler exporter fixed - callgraph enabled
JEB-4.27.0.202302131725 by CXV
JEB Decompiler JEB 4.20 -> JDK 11.0.X 64 bit mod by CXV Press Generate a Key in welcome window - fix all integrity checks\timebomb - Time-limited sessions fixed - Requires an Internet connection fixed - dexdec: fix string decrypt via emulation - dexdec: instruction conversion recovered - gui: Usage of the clipboard is disallowed fixed - jdb2: Saving or loading projects is disabled fixed - android debug enabled - avrdec: decompiler enabled - Decompiler exporter fixed - callgraph enabled Increase available RAM in jvm up to 4gb: rename jvmopt.txt.TEMPLATE -> jvmopt.txt
Jeb 4.21 Crack
JEB is a reverse-engineering platform to perform disassembly, decompilation, debugging, and analysis of code and document files, manually or as part of an analysis pipeline.
JEB是一个功能强大的为安全专业人士设计的Android应用程序的反编译。反向工程或审计APK文件,并减少许多工程师的分析时间。
JEB的独特功能是,其Dalvik字节码反编译为Java源代码的能力。无需DEX-JAR转换工具。我们公司内部的反编译器需要考虑的Dalvik的细微之处,并明智地使用目前在DEX文件的元数据。
安卓广告跳过 yolov5 ncnn方式集成
代码原地址: https://github.com/nihui/ncnn-android-yolov5
我在这里只是替换了模型信息,其余的内容基本没有修改。
原工程并没有写如何进行模型转换,模型转换可以参考这篇文章:https://blog.csdn.net/flyfish1986/article/details/116604907里面写的比较详细了。
这里简单的做个备份,不想跳转的可以直接参考下面的内容:
模型转换为ncnn格式
- 导出onnx
bash
python models/export.py --weights yolov5s.pt --img 320 --batch 1- onnx-simplifer简化模型
bash
python -m onnxsim yolov5s.onnx yolov5s-sim.onnx- 专函为ncnn
bash
./onnx2ncnn yolov5s-sim.onnx yolov5s.param yolov5s.bin- 处理转ncnn产生的Unsupported slice step !
1).处理YOLOv5的Focus模块,将多个slice节点转换为一个focus节点