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我正在写一个机器学习程序来识别黑白图像中的圆心。另外，图像生成脚本是在这里：生成Tensorflow的圆形图像预处理
from __future__ import division
from __future__ import print_function
import numpy as np
from PIL import Image
from random import randint
for n in range(0,400):
#import time
#date_string = time.strftime("%Y-%m-%d-%H:%M:%S")
#Initialize the matrix- Size (100,100)
size = 100
arr = np.zeros((size,size))
#Initialize the Gaussian Properties
x0 = randint(1,100); y0 = randint(1,100); sigmax = randint(1,10);
sigmay = randint(1,10)
center = (x0,y0)
print (center)
#Create the Gaussian Function
def Gaussian(x,y):
result = int(round(255*np.exp(-(x - x0)**2/(2 * sigmax**2)) *
np.exp(-(y - y0)**2/(2 *sigmay**2))))
return result
for i in range(size):
for j in range(size):
arr[i][j] = Gaussian(i,j)
im = Image.fromarray(arr)
if im.mode !='RGB':
im = im.convert('RGB')
#im.show()
im.save("/home/garrett/train/"+str(n)+".jpeg", "JPEG")
此脚本输出的图像像这样的黑色和白色的圆圈，标签给予该中心是输出到一个文本文件中。我使用https://github.com/tensorflow/models/blob/master/inception/inception/data/build_imagenet_data.py 中的脚本作为黑盒来处理我的图像数据，以便与Tensorflow一起使用。然而，当我运行此命令：
python build_image_data.py --train_directory=./train --
output_directory=./ --validation_directory=./validate --
labels_file=mylabels.txt --train_shards=1 --validation_shards=1 --
num_threads=1
我收到以下错误信息：
Saving results to ./
Determining list of input files and labels from ./validate.
Traceback (most recent call last):
File "build_image_data.py", line 435, in <module>
tf.app.run()
File "/home/garrett/anaconda3/lib/python3.6/site-
packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "build_image_data.py", line 429, in main
FLAGS.validation_shards, FLAGS.labels_file)
File "build_image_data.py", line 415, in _process_dataset
filenames, texts, labels = _find_image_files(directory,
labels_file)
File "build_image_data.py", line 379, in _find_image_files
matching_files = tf.gfile.Glob(jpeg_file_path)
File "/home/garrett/anaconda3/lib/python3.6/site-
packages/tensorflow/python/lib/io/file_io.py", line 332, in
get_matching_files
for single_filename in filename
File "/home/garrett/anaconda3/lib/python3.6/contextlib.py", line 89,
in __exit__
next(self.gen)
File "/home/garrett/anaconda3/lib/python3.6/site-
packages/tensorflow/python/framework/errors_impl.py", line 466, in
raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.NotFoundError: ./validate/(33,
23)
这是正确的方法？如果是这样，我做错了什么？如果没有，格式化我的数据与Tensorflow一起使用的正确方法是什么？如果有帮助，我打算使用卷积神经网络来识别中心。这可能是过度的，但在完成类似的，更复杂的任务之前，更多的是练习。
谢谢，任何意见表示赞赏。