Re: What are the steps to migrate my TF trained model to the NCSv1?

idata · ‎01-05-2019

I know people have asked this already but i dont seem to find the real steps as everybody goes in a different way or i dont understart A.I good enough :sweat_smile:

So i used tensorflow 1.9 to train my model, i am using the train.py (legacy) and also tried with model_main.py (new script) both located in the …/research/object_detection folder from Tensorflow.

When training finishes a frozen graph is generated but i dont understand why that one doesnt work.

I am using SSD_inceptionV2_coco latest release on tf github. The trained model works great using just tensorflow code but if i tried to get the GRAPH file for the NCS it fails everytime, i am just not able to find the input and output nodes that work properly, there is alot on the internet to get those but i dont think i am doing it write.

I followed this guide: https://movidius.github.io/ncsdk/tf_modelzoo.html

But it seems it works only for the models in ncappzoo, i tried the commands in the site and worked fine. so i could get the GRAPH file. my ssd_inceptionv2_coco failed :(

So i check this link:

https://movidius.github.io/ncsdk/tf_slim.html

But the code dont seem to work with the model.ckpt-200000

This is my code:

----------------------------------------------------------------------CODE----------------------------------------------------------------------------------------------------------------------------

import numpy as np

import tensorflow as tf

from tensorflow.contrib.slim.nets import inception

slim = tf.contrib.slim

def run(name, image_size, num_classes):

with tf.Graph().as_default():

image = tf.placeholder("float", [1, image_size, image_size, 3], name="input")

with slim.arg_scope(inception.inception_v1_arg_scope()):

logits, _ = inception.inception_v1(image, num_classes, is_training=False, spatial_squeeze=False)

probabilities = tf.nn.softmax(logits)

init_fn = slim.assign_from_checkpoint_fn('model.ckpt-200000', slim.get_model_variables('InceptionV2'))

with tf.Session() as sess:
    init_fn(sess)
    saver = tf.train.Saver(tf.global_variables())
    saver.save(sess, "output/"+name)

run('inception-v2', 299, 2)

I just dont know what to use for model variables, InceptionV2 gets me

--------------------------------------------------------------------OUTPUT1----------------------------------------------------------------------------------------------------------------

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 14, in run

init_fn = slim.assign_from_checkpoint_fn('model.ckpt-200000', slim.get_model_variables('InceptionV2'))

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 678, in assign_from_checkpoint_fn

raise ValueError('var_list cannot be empty')

ValueError: var_list cannot be empty

---------------------------------------------------------------------OUTPUT2---------------------------------------------------------------------------------------------------------------

i tried InceptionV1 and worked a bit better but i know that is not the option for sure:

2019-01-05 04:41:01.150820: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

2019-01-05 04:41:01.220727: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

2019-01-05 04:41:01.221057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 0 with properties:

pciBusID: 0000:01:00.0

totalMemory: 3.94GiB freeMemory: 3.40GiB

2019-01-05 04:41:01.221070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1471] Adding visible gpu devices: 0

2019-01-05 04:41:01.398357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:952] Device interconnect StreamExecutor with strength 1 edge matrix:

2019-01-05 04:41:01.398383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:958] 0

2019-01-05 04:41:01.398388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: N

2019-01-05 04:41:01.398500: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3121 MB memory) -> physical GPU (device: 0, name: GeForce GTX 970, pci bus id: 0000:01:00.0, compute capability: 5.2)

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 17, in run

init_fn(sess)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 697, in callback

saver.restore(session, model_path)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1752, in restore

{self.saver_def.filename_tensor_name: save_path})

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 900, in run

run_metadata_ptr)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1060, in _run

raise RuntimeError('The Session graph is empty. Add operations to the '

RuntimeError: The Session graph is empty. Add operations to the graph before calling run().

So what am i missing? do i need to move to OpenVino? in order for this to work?

Do i need to train my model with tf_slim as mandatory step for NCSv1?

What am i missing? i have been using pretrained models with the NCSv1 and it work great for my security cameras, now i want to automate my house but i need a custom model but i just cant make it work with NCS. using a desktop is just to much resources for a smarthouse and alot of power and money as i might need the Nvidia card. So please allow me to keep playing with this device. love it.

idata · ‎01-05-2019

I know people have asked this already but i dont seem to find the real steps as everybody goes in a different way or i dont understart A.I good enough :sweat_smile:

So i used tensorflow 1.9 to train my model, i am using the train.py (legacy) and also tried with model_main.py (new script) both located in the …/research/object_detection folder from Tensorflow.

When training finishes a frozen graph is generated but i dont understand why that one doesnt work.

I am using SSD_inceptionV2_coco latest release on tf github. The trained model works great using just tensorflow code but if i tried to get the GRAPH file for the NCS it fails everytime, i am just not able to find the input and output nodes that work properly, there is alot on the internet to get those but i dont think i am doing it write.

I followed this guide: https://movidius.github.io/ncsdk/tf_modelzoo.html

But it seems it works only for the models in ncappzoo, i tried the commands in the site and worked fine. so i could get the GRAPH file. my ssd_inceptionv2_coco failed :(

So i check this link:

https://movidius.github.io/ncsdk/tf_slim.html

But the code dont seem to work with the model.ckpt-200000

This is my code:

----------------------------------------------------------------------CODE----------------------------------------------------------------------------------------------------------------------------

import numpy as np

import tensorflow as tf

from tensorflow.contrib.slim.nets import inception

slim = tf.contrib.slim

def run(name, image_size, num_classes):

with tf.Graph().as_default():

image = tf.placeholder("float", [1, image_size, image_size, 3], name="input")

with slim.arg_scope(inception.inception_v1_arg_scope()):

logits, _ = inception.inception_v1(image, num_classes, is_training=False, spatial_squeeze=False)

probabilities = tf.nn.softmax(logits)

init_fn = slim.assign_from_checkpoint_fn('model.ckpt-200000', slim.get_model_variables('InceptionV2'))

with tf.Session() as sess:
    init_fn(sess)
    saver = tf.train.Saver(tf.global_variables())
    saver.save(sess, "output/"+name)

run('inception-v2', 299, 2)

I just dont know what to use for model variables, InceptionV2 gets me

--------------------------------------------------------------------OUTPUT1----------------------------------------------------------------------------------------------------------------

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 14, in run

init_fn = slim.assign_from_checkpoint_fn('model.ckpt-200000', slim.get_model_variables('InceptionV2'))

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 678, in assign_from_checkpoint_fn

raise ValueError('var_list cannot be empty')

ValueError: var_list cannot be empty

---------------------------------------------------------------------OUTPUT2---------------------------------------------------------------------------------------------------------------

i tried InceptionV1 and worked a bit better but i know that is not the option for sure:

2019-01-05 04:41:01.150820: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

2019-01-05 04:41:01.220727: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

2019-01-05 04:41:01.221057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 0 with properties:

pciBusID: 0000:01:00.0

totalMemory: 3.94GiB freeMemory: 3.40GiB

2019-01-05 04:41:01.221070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1471] Adding visible gpu devices: 0

2019-01-05 04:41:01.398357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:952] Device interconnect StreamExecutor with strength 1 edge matrix:

2019-01-05 04:41:01.398383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:958] 0

2019-01-05 04:41:01.398388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: N

2019-01-05 04:41:01.398500: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3121 MB memory) -> physical GPU (device: 0, name: GeForce GTX 970, pci bus id: 0000:01:00.0, compute capability: 5.2)

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 17, in run

init_fn(sess)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 697, in callback

saver.restore(session, model_path)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1752, in restore

{self.saver_def.filename_tensor_name: save_path})

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 900, in run

run_metadata_ptr)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1060, in _run

raise RuntimeError('The Session graph is empty. Add operations to the '

RuntimeError: The Session graph is empty. Add operations to the graph before calling run().

So what am i missing? do i need to move to OpenVino? in order for this to work?

Do i need to train my model with tf_slim as mandatory step for NCSv1?

What am i missing? i have been using pretrained models with the NCSv1 and it work great for my security cameras, now i want to automate my house but i need a custom model but i just cant make it work with NCS. using a desktop is just to much resources for a smarthouse and alot of power and money as i might need the Nvidia card. So please allow me to keep playing with this device. love it.

idata · ‎01-05-2019

What is going on my post is just blank and it quite big why i dont see my post?

idata · ‎01-05-2019

My post are showing blank, no idea why so ill do multicomments:

I know people have asked this already but i dont seem to find the real steps as everybody goes in a different way or i dont understart A.I good enough :sweat_smile:

So i used tensorflow 1.9 to train my model, i am using the train.py (legacy) and also tried with model_main.py (new script) both located in the …/research/object_detection folder from Tensorflow.

When training finishes a frozen graph is generated but i dont understand why that one doesnt work.

I am using SSD_inceptionV2_coco latest release on tf github. The trained model works great using just tensorflow code but if i tried to get the GRAPH file for the NCS it fails everytime, i am just not able to find the input and output nodes that work properly, there is alot on the internet to get those but i dont think i am doing it write.

I followed this guide: https://movidius.github.io/ncsdk/tf_modelzoo.html

But it seems it works only for the models in ncappzoo, i tried the commands in the site and worked fine. so i could get the GRAPH file. my ssd_inceptionv2_coco failed :(

So i check this link:

https://movidius.github.io/ncsdk/tf_slim.html

But the code dont seem to work with the model.ckpt-200000

idata · ‎01-05-2019

This is my code:

----------------------------------------------------------------------CODE----------------------------------------------------------------------------------------------------------------------------

import numpy as np

import tensorflow as tf

from tensorflow.contrib.slim.nets import inception

slim = tf.contrib.slim

def run(name, image_size, num_classes):

with tf.Graph().as_default():

image = tf.placeholder("float", [1, image_size, image_size, 3], name="input")

with slim.arg_scope(inception.inception_v1_arg_scope()):

logits, _ = inception.inception_v1(image, num_classes, is_training=False, spatial_squeeze=False)

probabilities = tf.nn.softmax(logits)

init_fn = slim.assign_from_checkpoint_fn('model.ckpt-200000', slim.get_model_variables('InceptionV2'))

with tf.Session() as sess:
    init_fn(sess)
    saver = tf.train.Saver(tf.global_variables())
    saver.save(sess, "output/"+name)

run('inception-v2', 299, 2)

I just dont know what to use for model variables, InceptionV2 gets me

--------------------------------------------------------------------OUTPUT1----------------------------------------------------------------------------------------------------------------

idata · ‎01-05-2019

--------------------------------------------------------------------OUTPUT1----------------------------------------------------------------------------------------------------------------

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 14, in run

init_fn = slim.assign_from_checkpoint_fn('model.ckpt-200000', slim.get_model_variables('InceptionV2'))

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 678, in assign_from_checkpoint_fn

raise ValueError('var_list cannot be empty')

ValueError: var_list cannot be empty

---------------------------------------------------------------------OUTPUT2---------------------------------------------------------------------------------------------------------------

i tried InceptionV1 and worked a bit better but i know that is not the option for sure:

2019-01-05 04:41:01.150820: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

2019-01-05 04:41:01.220727: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

2019-01-05 04:41:01.221057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 0 with properties:

pciBusID: 0000:01:00.0

totalMemory: 3.94GiB freeMemory: 3.40GiB

2019-01-05 04:41:01.221070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1471] Adding visible gpu devices: 0

2019-01-05 04:41:01.398357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:952] Device interconnect StreamExecutor with strength 1 edge matrix:

2019-01-05 04:41:01.398383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:958] 0

2019-01-05 04:41:01.398388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: N

2019-01-05 04:41:01.398500: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3121 MB memory) -> physical GPU (device: 0, name: GeForce GTX 970, pci bus id: 0000:01:00.0, compute capability: 5.2)

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 17, in run

init_fn(sess)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 697, in callback

saver.restore(session, model_path)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1752, in restore

{self.saver_def.filename_tensor_name: save_path})

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 900, in run

run_metadata_ptr)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1060, in _run

raise RuntimeError('The Session graph is empty. Add operations to the '

RuntimeError: The Session graph is empty. Add operations to the graph before calling run().

So what am i missing? do i need to move to OpenVino? in order for this to work?

Do i need to train my model with tf_slim as mandatory step for NCSv1?

What am i missing? i have been using pretrained models with the NCSv1 and it work great for my security cameras, now i want to automate my house but i need a custom model but i just cant make it work with NCS. using a desktop is just to much resources for a smarthouse and alot of power and money as i might need the Nvidia card. So please allow me to keep playing with this device. love it.

idata · ‎01-05-2019

--------------------------------------------------------------------OUTPUT1----------------------------------------------------------------------------------------------------------------

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 14, in run

init_fn = slim.assign_from_checkpoint_fn('model.ckpt-200000', slim.get_model_variables('InceptionV2'))

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 678, in assign_from_checkpoint_fn

raise ValueError('var_list cannot be empty')

ValueError: var_list cannot be empty

---------------------------------------------------------------------OUTPUT2---------------------------------------------------------------------------------------------------------------

i tried InceptionV1 and worked a bit better but i know that is not the option for sure:

2019-01-05 04:41:01.150820: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

2019-01-05 04:41:01.220727: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

2019-01-05 04:41:01.221057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 0 with properties:

pciBusID: 0000:01:00.0

totalMemory: 3.94GiB freeMemory: 3.40GiB

2019-01-05 04:41:01.221070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1471] Adding visible gpu devices: 0

2019-01-05 04:41:01.398357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:952] Device interconnect StreamExecutor with strength 1 edge matrix:

2019-01-05 04:41:01.398383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:958] 0

2019-01-05 04:41:01.398388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: N

2019-01-05 04:41:01.398500: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3121 MB memory) -> physical GPU (device: 0, name: GeForce GTX 970, pci bus id: 0000:01:00.0, compute capability: 5.2)

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 17, in run

init_fn(sess)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 697, in callback

saver.restore(session, model_path)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1752, in restore

{self.saver_def.filename_tensor_name: save_path})

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 900, in run

run_metadata_ptr)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1060, in _run

raise RuntimeError('The Session graph is empty. Add operations to the '

RuntimeError: The Session graph is empty. Add operations to the graph before calling run().

idata · ‎01-05-2019

-------------------------------------------------------------------OUTPUT1----------------------------------------------------------------------------------------------------------------

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 14, in run

init_fn = slim.assign_from_checkpoint_fn('model.ckpt-200000', slim.get_model_variables('InceptionV2'))

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 678, in assign_from_checkpoint_fn

raise ValueError('var_list cannot be empty')

ValueError: var_list cannot be empty

idata · ‎01-05-2019

---------------------------------------------------------------------OUTPUT2---------------------------------------------------------------------------------------------------------------

i tried InceptionV1 and worked a bit better but i know that is not the option for sure:

2019-01-05 04:41:01.150820: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

2019-01-05 04:41:01.220727: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

2019-01-05 04:41:01.221057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 0 with properties:

pciBusID: 0000:01:00.0

totalMemory: 3.94GiB freeMemory: 3.40GiB

2019-01-05 04:41:01.221070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1471] Adding visible gpu devices: 0

2019-01-05 04:41:01.398357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:952] Device interconnect StreamExecutor with strength 1 edge matrix:

2019-01-05 04:41:01.398383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:958] 0

2019-01-05 04:41:01.398388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: N

2019-01-05 04:41:01.398500: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3121 MB memory) -> physical GPU (device: 0, name: GeForce GTX 970, pci bus id: 0000:01:00.0, compute capability: 5.2)

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 17, in run

init_fn(sess)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 697, in callback

saver.restore(session, model_path)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1752, in restore

{self.saver_def.filename_tensor_name: save_path})

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 900, in run

run_metadata_ptr)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1060, in _run

raise RuntimeError('The Session graph is empty. Add operations to the '

RuntimeError: The Session graph is empty. Add operations to the graph before calling run().

idata · ‎01-05-2019

---------------------------------------------------------------------OUTPUT2---------------------------------------------------------------------------------------------------------------

i tried InceptionV1 and worked a bit better but i know that is not the option for sure:

2019-01-05 04:41:01.150820: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

2019-01-05 04:41:01.220727: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

2019-01-05 04:41:01.221057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 0 with properties:

pciBusID: 0000:01:00.0

totalMemory: 3.94GiB freeMemory: 3.40GiB

2019-01-05 04:41:01.221070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1471] Adding visible gpu devices: 0

2019-01-05 04:41:01.398357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:952] Device interconnect StreamExecutor with strength 1 edge matrix:

2019-01-05 04:41:01.398383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:958] 0

2019-01-05 04:41:01.398388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: N

2019-01-05 04:41:01.398500: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3121 MB memory) -> physical GPU (device: 0, name: GeForce GTX 970, pci bus id: 0000:01:00.0, compute capability: 5.2)

idata · ‎01-05-2019

Traceback (most recent call last):

File "tf_slim_export.py", line 21, in

run('inception-v2', 299, 2)

File "tf_slim_export.py", line 17, in run

init_fn(sess)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 697, in callback

saver.restore(session, model_path)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1752, in restore

{self.saver_def.filename_tensor_name: save_path})

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 900, in run

run_metadata_ptr)

File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1060, in _run

raise RuntimeError('The Session graph is empty. Add operations to the '

RuntimeError: The Session graph is empty. Add operations to the graph before calling run().

idata · ‎01-05-2019

1. Traceback (most recent call last):

2. File "tf_slim_export.py", line 21, in

3. run('inception-v2', 299, 2)

4. File "tf_slim_export.py", line 17, in run

5. init_fn(sess)

6. File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 697, in callback

7. saver.restore(session, model_path)

8. File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1752, in restore

9. {self.saver_def.filename_tensor_name: save_path})

1. File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 900, in run

1. run_metadata_ptr)

1. File "/home/chop/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1060, in _run

1. raise RuntimeError('The Session graph is empty. Add operations to the '

1. RuntimeError: The Session graph is empty. Add operations to the graph before calling run().

idata · ‎01-05-2019

i just cant post the output what is going on? moderators please check this!

idata · ‎01-05-2019

So what am i missing? do i need to move to OpenVino? in order for this to work?

Do i need to train my model with tf_slim as mandatory step for NCSv1?

What am i missing? i have been using pretrained models with the NCSv1 and it work great for my security cameras, now i want to automate my house but i need a custom model but i just cant make it work with NCS. using a desktop is just to much resources for a smarthouse and alot of power and money as i might need the Nvidia card. So please allow me to keep playing with this device. love it.

idata · ‎01-06-2019

If you came for answers, stop using the NCSDK and switch to OpenVINO.

After that i was able to use the mo_tf.py and test it on one of the samples with my NCSv1 using the web documentation, is way better than NCS docs and very well done same as the OpenVINO SDK.