Discussion :

[aurorelaurent]

Code :

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import subprocess
import glob
from os.path import basename, splitext
 
#extraction du nom des images
filename=[]
for i in range(0,3):
     filepath = glob.glob('/home/aurore/tensorflow-master/*.jpg')[i]
     filename.append(splitext(basename(filepath))[0])
 
print(filename)
 
proc = subprocess.Popen(["bazel-bin/tensorflow/examples/label_image/label_image --graph=/tmp/output_graph.pb --labels=/tmp/output_labels.txt --output_layer=final_result --image=$HOME/tensorflow-master/"+str(filename[0])+".jpg --input_layer=Mul --output_layer='final_result' "], stdout=subprocess.PIPE, shell=True)
(out, err) = proc.communicate()
 
print(out)

Lorsque j’exécute ce script j'obtient la sortie suivante :

Code :

Sélectionner tout - Visualiser dans une fenêtre à part

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['cad_image_191277_260592_475_634', 'cad_image_191268_260592_848_2217', 'cad_image_191268_260624_302_1878']
2017-07-21 10:55:16.266856: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-21 10:55:16.266928: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-21 10:55:16.266939: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-07-21 10:55:16.266946: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-21 10:55:16.266952: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
2017-07-21 10:55:17.538981: W tensorflow/core/framework/op_def_util.cc:333] Op BatchNormWithGlobalNormalization is deprecated. It will cease to work in GraphDef version 9. Use tf.nn.batch_normalization().
2017-07-21 10:55:18.154345: I tensorflow/examples/label_image/main.cc:247] nvxpool (2): 0.986495
2017-07-21 10:55:18.154363: I tensorflow/examples/label_image/main.cc:247] cadastre (1): 0.00700608
2017-07-21 10:55:18.154368: I tensorflow/examples/label_image/main.cc:247] hs (0): 0.00649887
b''

Lorsque je veux imprimer l'output cela me renvoi : b''. Je pense que la sortie qui m'intéresse est considérée comme un Warning/Information .
En effet, comment puis-je récupérer par exemple "nvxpool (2): 0.986495"

En vous remerciant,

Aurore

[laurentv88]

print(err) ça donne quoi ?

Code :

Sélectionner tout - Visualiser dans une fenêtre à part

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import subprocess
import glob
from os.path import basename, splitext
 
#extraction du nom des images
filename=[]
for i in range(0,3):
     filepath = glob.glob('/home/aurore/tensorflow-master/*.jpg')[i]
     filename.append(splitext(basename(filepath))[0])
 
print(filename)
 
proc = subprocess.Popen(["bazel-bin/tensorflow/examples/label_image/label_image --graph=/tmp/output_graph.pb --labels=/tmp/output_labels.txt --output_layer=final_result --image=$HOME/tensorflow-master/"+str(filename[0])+".jpg --input_layer=Mul --output_layer='final_result' "], stdout=subprocess.PIPE, shell=True)
(out, err) = proc.communicate()
 
print(out)

Lorsque j’exécute ce script j'obtient la sortie suivante :

Code :

Sélectionner tout - Visualiser dans une fenêtre à part

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['cad_image_191277_260592_475_634', 'cad_image_191268_260592_848_2217', 'cad_image_191268_260624_302_1878']
2017-07-21 10:55:16.266856: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-21 10:55:16.266928: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-21 10:55:16.266939: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-07-21 10:55:16.266946: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-21 10:55:16.266952: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
2017-07-21 10:55:17.538981: W tensorflow/core/framework/op_def_util.cc:333] Op BatchNormWithGlobalNormalization is deprecated. It will cease to work in GraphDef version 9. Use tf.nn.batch_normalization().
2017-07-21 10:55:18.154345: I tensorflow/examples/label_image/main.cc:247] nvxpool (2): 0.986495
2017-07-21 10:55:18.154363: I tensorflow/examples/label_image/main.cc:247] cadastre (1): 0.00700608
2017-07-21 10:55:18.154368: I tensorflow/examples/label_image/main.cc:247] hs (0): 0.00649887
b''

Lorsque je veux imprimer l'output cela me renvoi : b''. Je pense que la sortie qui m'intéresse est considérée comme un Warning/Information .
En effet, comment puis-je récupérer par exemple "nvxpool (2): 0.986495"

En vous remerciant,

Aurore

[aurorelaurent]

print(err) ça donne quoi ?

print(err) renvoi None

[aurorelaurent]

Problème résolu :

Pour ceux que ça intéresse voici la solution :

Code :

Sélectionner tout - Visualiser dans une fenêtre à part

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proc = subprocess.Popen(["bazel-bin/tensorflow/examples/label_image/label_image --graph=/tmp/output_graph.pb --labels=/tmp/output_labels.txt --output_layer=final_result --image=$HOME/tensorflow-master/"+str(filename[0])+".jpg --input_layer=Mul --output_layer='final_result' "], stdin=subprocess.PIPE, stdout=subprocess.PIPE,stderr=subprocess.PIPE, shell=True)
(out, err)= proc.communicate(b"input data that is passed to subprocess' stdin")
print(err)