Tensorflow not finding files - tensorflow

Question

So as I try to run my code it keeps saying that it can't find an image but it in fact is there. I've tried a lot of things but nothing works. Can someone please help me? This is code is trying to read images from the nist dataset and then i am trying to train a model. Here's my code and error code:
import os
import cv2
import tensorflow as tf
upper_level_dirs = open("/Users/cam/reader/top_level_dirs")
upper_level_dirs = upper_level_dirs.read().split()
print(upper_level_dirs)
file_names = []
labels = []
for folder in upper_level_dirs:
for filename in os.listdir("./train/" + folder + "/"):
file_names.append("./train/" + folder + "/" + filename)
labels.append(folder)
# Use a custom OpenCV function to read the image, instead of the standard
# TensorFlow `tf.read_file()` operation.
def _read_py_function(file_name, label):
image_string = tf.read_file(filename)
image_decoded = tf.image.decode_image(image_string, channels=3)
image_resized = tf.image.resize_image_with_crop_or_pad(image_decoded, 28, 28)
return image_resized, label
# image_decoded = cv2.imread(file_name.decode(), cv2.IMREAD_GRAYSCALE)
# return image_decoded, label
dataset = tf.data.Dataset.from_tensor_slices((file_names, labels))
dataset = dataset.map(_read_py_function)
sess = tf.InteractiveSession()
dataset = dataset.batch(32)
iterator = dataset.make_initializable_iterator()
next_element = iterator.get_next()
for _ in range(100):
sess.run(iterator.initializer)
while True:
try:
sess.run(next_element)
except tf.errors.OutOfRangeError:
break
Errors:
2018-03-27 12:59:58.001455: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-03-27 13:00:01.574038: W tensorflow/core/framework/op_kernel.cc:1278] OP_REQUIRES failed at whole_file_read_ops.cc:114 : Not found: train_7a_02017.png; No such file or directory
2018-03-27 13:00:01.576585: W tensorflow/core/framework/op_kernel.cc:1278] OP_REQUIRES failed at whole_file_read_ops.cc:114 : Not found: train_7a_02017.png; No such file or directory
2018-03-27 13:00:01.578373: W tensorflow/core/framework/op_kernel.cc:1278] OP_REQUIRES failed at whole_file_read_ops.cc:114 : Not found: train_7a_02017.png; No such file or directory
Traceback (most recent call last):
File "/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1330, in _do_call
return fn(*args)
File "/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1315, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1423, in _call_tf_sessionrun
status, run_metadata)
File "/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py", line 516, in __exit__
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.NotFoundError: train_7a_02017.png; No such file or directory
[[Node: ReadFile = ReadFile[](ReadFile/filename)]]
[[Node: IteratorGetNext = IteratorGetNext[output_shapes=[[?,28,28,?], [?]], output_types=[DT_UINT8, DT_STRING], _device="/job:localhost/replica:0/task:0/device:CPU:0"](Iterator)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "split2.py", line 46, in <module>
sess.run(next_element)
File "/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 908, in run
run_metadata_ptr)
File "/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1143, in _run
feed_dict_tensor, options, run_metadata)
File "/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1324, in _do_run
run_metadata)
File "/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1343, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: train_7a_02017.png; No such file or directory
[[Node: ReadFile = ReadFile[](ReadFile/filename)]]
[[Node: IteratorGetNext = IteratorGetNext[output_shapes=[[?,28,28,?], [?]], output_types=[DT_UINT8, DT_STRING], _device="/job:localhost/replica:0/task:0/device:CPU:0"](Iterator)]]

Answer 1

I also find that error and my solution is:
Maybe you create the path by windows and the path end with 'CR' when you view the txt with notepad++, which cant read by linux.
You can replace 'CR' with '' by notepad++. Then it works.

Answer 2

I had the same problem and using tf.as_str_any() solved the problem for me.
This because the file is an object and not a string, so you have to decode it (generally UTF-8) to a string.
So your code would look like this:
def _read_py_function(file_name, label):
image_string = tf.as_str_any(file_name)
image_string = tf.read_file(filename)
image_decoded = tf.image.decode_image(image_string, channels=3)
image_resized = tf.image.resize_image_with_crop_or_pad(image_decoded, 28, 28)
return image_resized, label