No training configuration found in the detector model

[barezina]

Hey mate, Docker running tensorflow 1.15.3 (python3) and your code.

When I try and run that example python script (detector):

# detector.py

from nudenet import NudeDetector
detector = NudeDetector()

# Performing detection
detector.detect('one.jpg')

it complains at this point:

/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually. 
warnings.warn('No training configuration found in save file: '

Any pointers as to what might be happening here? Should I be running a specific version of tensorflow? The classify script works a treat but I cant seem to get detector to work.

Cheers,

[bedapudi6788]

https://github.com/bedapudi6788/NudeNet/issues/19

[barezina]

Hey! Thanks for the reply. Issue #19 doesn’t contain the same issue that I’m experiencing, but I’ll check all my versions and give it another go. 🙏

[bedapudi6788]

It's the same. The code is working as expected. You didn't get any errors. You are just not printing the output anywhere.

[bedapudi6788]

Can you just post the exact code and the exact output. There is no error in the description you provided.

[bedapudi6788]

As you can clearly see, the only thing you posted is a warning and it doesn't matter because you are not training the model.

[barezina]

I'll get the exact python file I am running and the corresponding output shortly...

[barezina]

Note: one.jpg is not an explicit image.

Python File:

from nudenet import NudeDetector
detector = NudeDetector()

# Performing detection
result = detector.detect('/nsfw/one.jpg')

print(result)

Output

root@eb44230d89e0:/nsfw# python3 detector.py 
Using TensorFlow backend.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4115: The name tf.random_normal is deprecated. Please use tf.random.normal instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1919: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3976: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4185: The name tf.truncated_normal is deprecated. Please use tf.random.truncated_normal instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras_retinanet/backend/tensorflow_backend.py:68: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras_retinanet/backend/tensorflow_backend.py:104: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:186: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2020-02-14 05:37:43.969855: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: FMA
2020-02-14 05:37:43.997358: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3693225000 Hz
2020-02-14 05:37:43.997994: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0xad601f0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-02-14 05:37:43.998067: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.

/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.
  warnings.warn('No training configuration found in save file: '
[]
root@eb44230d89e0:/nsfw# 

[barezina]

Is there any output provided when you feed a safe image through the detector?

[bedapudi6788]

[] this is the output printed. That means, eveything works as expected.

Is there any output provided when you feed a safe image through the detector?

Yes!

[barezina]

Thank you, sorry for the questions 🙏

[bedapudi6788]

BTW, the warning is because, the retinanet model i provide is a "prediction" model. It is not compiled and doesn't have any optimizer information.