基于深度学习的识别系统APP设计（手写数字、静态图像、实时图像、动态图像、图像迁移、单词语音识别）

蔚落 2024-04-01 10:33 166阅读 0赞

### 功能简介 ###

1.  使用`expert-graph`模型实现手写数字识别
2.  使用`mobilenet_v1`和`mobilenet_v2`模型实现相册图片的图像分类
3.  使用`tensorflow_inception_graph`模型实现实时图像分类
4.  使用`graph-tiny-yolo-voc`模型实现实时图像目标检测
5.  使用`stylize_quantized`模型实现图像风格迁移
6.  使用`conv_actions_frozen`模型实现简单单词的语音识别

### 应用效果图 ###

![在这里插入图片描述][7be19ae1be2a4078ae00fa4aa99ab13b.png_pic_center]  
![在这里插入图片描述][5a9022cdfec54860abd081dc1f14d335.png_pic_center]  
![在这里插入图片描述][c08deb7e12434f22b97313c3166711c0.png_pic_center]  
![在这里插入图片描述][81a608c206274cc890efc8506774d4f6.png_pic_center]  
![在这里插入图片描述][d32a75e986554d7bab10e1a2ffbfe500.png_pic_center]  
![在这里插入图片描述][e604e628871b4e20906fae14e060ebb8.png_pic_center]  
![在这里插入图片描述][8cb526d9295c4b0a98272ea54fc1b08b.png_pic_center]  
![在这里插入图片描述][7ae55a96b6674fbb85d0c51cc1b6a9aa.png_pic_center]  
![在这里插入图片描述][3b9f3318909f4d5c95530a954dc6624a.png_pic_center]  
![在这里插入图片描述][9d2c6d0e724e47dcb14fe80354f85d84.png_pic_center]  
![在这里插入图片描述][5e1db81f09984d909fa84315e93a1daa.png_pic_center]

### 参考资料 ###

*  [Tensorflow-android 官方demo源码分析][Tensorflow-android _demo]
 *  [Tensorflow在手机端的部署——官网Android工程源码分析之TensorFlowYoloDetector.java][Tensorflow_Android_TensorFlowYoloDetector.java]
 *  [Tensorflow-android 官方demo源码][Tensorflow-android _demo 1]

[7be19ae1be2a4078ae00fa4aa99ab13b.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/41a40ae73ebc4e4ca82a2d37653747ac.png
[5a9022cdfec54860abd081dc1f14d335.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/358f80780b0c4eb9bd70a02c3c199975.png
[c08deb7e12434f22b97313c3166711c0.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/64ab3bfdb779447bb2d569218fa6c2d4.png
[81a608c206274cc890efc8506774d4f6.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/5683ffdd695640e88fbf062fe2e2cf7c.png
[d32a75e986554d7bab10e1a2ffbfe500.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/6aeb3d13ece04e4a96d1f5d16360db5d.png
[e604e628871b4e20906fae14e060ebb8.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/58273faa512649d9a94f259636fbe439.png
[8cb526d9295c4b0a98272ea54fc1b08b.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/21cfda5ac22640368694ff3ca9443de7.png
[7ae55a96b6674fbb85d0c51cc1b6a9aa.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/e7277d639f8f40019b2dcac119b920d5.png
[3b9f3318909f4d5c95530a954dc6624a.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/49188fbf21604a1db694b77dc62e97da.png
[9d2c6d0e724e47dcb14fe80354f85d84.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/7478965d65734370b55e162f9b6f94e8.png
[5e1db81f09984d909fa84315e93a1daa.png_pic_center]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/0db61d1e23e54058808915e12ab1a676.png
[Tensorflow-android _demo]: https://blog.csdn.net/u013510838/article/details/79827119
[Tensorflow_Android_TensorFlowYoloDetector.java]: https://blog.csdn.net/c20081052/article/details/84387738
[Tensorflow-android _demo 1]: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android