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《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

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我的环境是win10,python3。在复现第五章的代码时,目前遇到了三个问题: 1:http://download.tensorflow.org登录不上,然后faster_rcnn_inception_resnet_v2_...那个模型我是通过其他博客找到的。 ![default](https://user-images.githubusercontent.com/32625419/41470552-7cdc5fc2-70e3-11e8-94c6-216a5a0f92e8.png) 2:在运行train.py文件时 E:\Softwave\Anaconda\python.exe E:/Codes/Deep-Learning-21-Examples/Chapter_5/research/object_detection/train.py Traceback (most recent call last): File "E:/Codes/Deep-Learning-21-Examples/Chapter_5/research/object_detection/train.py", line 202, in tf.app.run() File "E:\Softwave\Anaconda\lib\site-packages\tensorflow\python\platform\app.py", line 124, in run _sys.exit(main(argv)) File "E:/Codes/Deep-Learning-21-Examples/Chapter_5/research/object_detection/train.py", line 198, in main...

(TensorFlow) “路径”\Deep-Learning-21-Examples-master\chapter_3\data_prepare>python data_convert.py -t picture/ \ usage: data_convert.py [-h] [-t TENSORFLOW_DATA_DIR] [--train-shards TRAIN_SHARDS] [--validation-shards VALIDATION_SHARDS] [--num-threads NUM_THREADS] [--dataset-name DATASET_NAME] data_convert.py: error: unrecognized arguments: \ (TensorFlow) ‘’路径‘’\Deep-Learning-21-Examples-master\chapter_3\data_prepare> --train-shards 2 \ '--train-shards'...

第五章运行 ``` python3 object_detection/train.py --train_dir voc/train_dir/ --pipeline_config_path voc/voc.config ``` 报错: ![image](https://user-images.githubusercontent.com/16429864/54936035-8e083980-4f5c-11e9-88cc-71dec900f075.png) 在源码中 https://github.com/hzy46/Deep-Learning-21-Examples/blob/master/chapter_5/research/object_detection/trainer.py#L33 ``` from deployment import model_deploy ``` 确实引入了 deployment 模块,但是没有该文件

INFO:root:Saving results to pic/ INFO:root:Determining list of input files and labels from pic/validation. INFO:root:Finished finding files in 0 of 200 classes. Traceback (most recent call last): File "F:\algorithm\python3\21个项目玩转深度学习\Deep-Learning-21-Examples-master\chapter_3\data_prepare\data_convert.py", line 35,...

作者您好,我有購買您的書籍,並依照上面指示逐步操作,都能順利產生訓練資料,但我在使用您第六章節的align_dataset_mtcnn.py這個指令去針對LFW資料集或WIDER FACE資料集產生準備訓練的人臉圖片時,我遇到一個問題,就是不管一張照片有幾個人臉,他都只會切出個人臉的圖片,請問是不是align_dataset_mtcnn.py這個程式裡面需要修改那些東西,才能讓他盡量把一張圖片全部的人臉都切出來呢?目前我完全照您的code去執行,他一張圖片都只切出一張人臉,希望能請您指導,非常感謝!!

从您的链接,我看到一些kera API的教程,感觉kera的写法更加简洁,不知道你有没有新的kera API的例子呢? 还是说您更建议我们用TF原生态的API

'tensorflow.python.framework.errors_impl.InvalidArgumentError'>, assertion failed: [Unable to decode bytes as JPEG, PNG, GIF, or BMP]