Unsuccessful TensorSliceReader constructor: Failed to find any matching files for /home/harsh/Documents/model_fcn8s_final.ckpt

[Harsh2040]

`%matplotlib inline

from future import division

import os
import sys
import tensorflow as tf
import skimage.io as io
import numpy as np

sys.path.append("/home/harsh/Documents/models/research/slim/")

fcn_16s_checkpoint_path = '/home/harsh/Documents/model_fcn8s_final.ckpt'

os.environ["CUDA_VISIBLE_DEVICES"] = '1'

slim = tf.contrib.slim

sys.path.append("/home/harsh/Documents/")
from tf_image_segmentation.models.fcn_8s import FCN_8s
from tf_image_segmentation.utils.inference import adapt_network_for_any_size_input
from tf_image_segmentation.utils.pascal_voc import pascal_segmentation_lut

number_of_classes = 2

image_filename = './17.jpg'

#image_filename = 'small_cat.jpg'

image_filename_placeholder = tf.placeholder(tf.string)

feed_dict_to_use = {image_filename_placeholder: image_filename}

image_tensor = tf.read_file(image_filename_placeholder)

image_tensor = tf.image.decode_jpeg(image_tensor, channels=3)

Fake batch for image and annotation by adding

leading empty axis.

image_batch_tensor = tf.expand_dims(image_tensor, axis=0)

Be careful: after adaptation, network returns final labels

and not logits

FCN_8s = adapt_network_for_any_size_input(FCN_8s, 32)

pred, fcn_16s_variables_mapping = FCN_8s(image_batch_tensor=image_batch_tensor,
number_of_classes=number_of_classes,
is_training=False)

The op for initializing the variables.

initializer = tf.local_variables_initializer()

saver = tf.train.Saver()

with tf.Session() as sess:

sess.run(initializer)


saver.restore(sess, fcn_16s_checkpoint_path)
print("Model restored.")

image_np, pred_np = sess.run([image_tensor, pred], feed_dict=feed_dict_to_use)


io.imshow(image_np)
io.show()

io.imshow(pred_np.squeeze())
io.show()`

I'm getting this error.

`NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for /home/harsh/Documents/model_fcn8s_final.ckpt
[[Node: save/RestoreV2_2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_2/tensor_names, save/RestoreV2_2/shape_and_slices)]]

Caused by op 'save/RestoreV2_2', defined at:
File "/home/harsh/anaconda3/lib/python3.5/runpy.py", line 184, in _run_module_as_main
"main", mod_spec)
File "/home/harsh/anaconda3/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/harsh/.local/lib/python3.5/site-packages/ipykernel/main.py", line 3, in
app.launch_new_instance()
File "/home/harsh/.local/lib/python3.5/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/home/harsh/.local/lib/python3.5/site-packages/ipykernel/kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "/home/harsh/.local/lib/python3.5/site-packages/zmq/eventloop/ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "/home/harsh/.local/lib/python3.5/site-packages/tornado/ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "/home/harsh/.local/lib/python3.5/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/harsh/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/home/harsh/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/home/harsh/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/home/harsh/.local/lib/python3.5/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/harsh/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/home/harsh/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "/home/harsh/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/home/harsh/.local/lib/python3.5/site-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/home/harsh/.local/lib/python3.5/site-packages/ipykernel/zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/home/harsh/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2728, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/home/harsh/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2850, in run_ast_nodes
if self.run_code(code, result):
File "/home/harsh/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2910, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 55, in
saver = tf.train.Saver()
File "/home/harsh/anaconda3/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1140, in init
self.build()
File "/home/harsh/anaconda3/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1172, in build
filename=self._filename)
File "/home/harsh/anaconda3/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 688, in build
restore_sequentially, reshape)
File "/home/harsh/anaconda3/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 407, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "/home/harsh/anaconda3/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 247, in restore_op
[spec.tensor.dtype])[0])
File "/home/harsh/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/gen_io_ops.py", line 663, in restore_v2
dtypes=dtypes, name=name)
File "/home/harsh/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/home/harsh/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2630, in create_op
original_op=self._default_original_op, op_def=op_def)

File "/home/harsh/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1204, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for /home/harsh/Documents/model_fcn8s_final.ckpt
[[Node: save/RestoreV2_2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_2/tensor_names, save/RestoreV2_2/shape_and_slices)]]`

Can anyone fix this issue?

[EvilPerfectionist]

Hi, please change 'model_fcn8s_final.ckpt' to 'model_'fcn8s_final.ckpt.index' or 'fcn8s_final.ckpt.meta'. These files can be downloaded from 'https://github.com/warmspringwinds/tf-image-segmentation' where please try to find 'Model Download Link'. Good Luck! @Harsh2040