Question

我希望在JupyterNotebook上运行some Tensorflow code。

如果在终端上运行它，那么上面的链接就会给出如下指令：

# Load the model
facenet.load_model(args.model)

问题：如何在Jupyter笔记本上运行它？谢谢例如，

args.model

只需将~/models/facenet/20170512-110547替换为# Load the model facenet.load_model('~/models/facenet/20170512-110547')

即可

usage: ipykernel_launcher.py [-h] [--lfw_batch_size LFW_BATCH_SIZE]
                             [--image_size IMAGE_SIZE] [--lfw_pairs LFW_PAIRS]
                             [--lfw_file_ext {jpg,png}]
                             [--lfw_nrof_folds LFW_NROF_FOLDS]
                             lfw_dir model
ipykernel_launcher.py: error: too few arguments

sys.argv
Out[5]:
['/anaconda/envs/tensorflow/lib/python2.7/site-packages/ipykernel_launcher.py',
 '-f',
 '/Users/my_name/Library/Jupyter/runtime/kernel-770c12c9-8fbe-44f7-91dd-4b0a5c5d7537.json']

会给出错误

if (regNumber.equals(incorrect)) {
      System.out.println("Incorrect!");
      continue; 
} else {
      System.out.println("Correct!");
}

Answer 1

好的，简单的解决方案...... 只需在给定的GitHub建议的终端上运行它，同时打印出终端上的sys.argv

    sys.argv = ['src/validate_on_lfw.py', '/Users/../datasets/lfw/lfw_mtcnnpy_160', '/Users/../models/facenet/20170512-110547']

然后在def parse_arguments(argv)中的JupyterNotebook中使用sys.argv的这些值作为默认值，并且它有效

在JupyterNotebook上运行Tensorflow而不是在终端命令上运行Tensorflow

1 个答案: