emnikhil
commented
6 months ago The error shows that you have missing libraries for Keras, try to re install tensor flow and Keras libraries again.
Closed shreyanscrystal closed 6 months ago
emnikhil
commented
6 months ago The error shows that you have missing libraries for Keras, try to re install tensor flow and Keras libraries again.
shreyanscrystal
commented
6 months ago I reinstalled keras (pip uninstall keras -> pip install keras) and tensorflow (pip install tensorflow). I think it solved the error but here is a new one that I am getting:
Starting Application... TypeError: function takes exactly 2 arguments (1 given)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/shreyansjain/Documents/Shreyans's Coding/eduASL/ASL model/Application.py", line 361, in
In my code, I am not able to import "HunSpell" from my hunspell library. I had a lot of issues installing it but I eventually got it to work. How can I solve this? Thank you so much for your help.
shreyanscrystal
commented
6 months ago And then I get this error too
shreyansjain@Shreyanss-MBP Shreyans's Coding % /usr/local/bin/python3 "/Users/shreyansjain/Documents/Shreyans's Coding/eduASL/ASL model/Application.p
y"
Starting Application...
Traceback (most recent call last):
File "/Users/shreyansjain/Documents/Shreyans's Coding/eduASL/ASL model/Application.py", line 361, in @keras.saving.register_keras_serializable(). Full object config: {'class_name': 'Sequential', 'config': {'name': 'sequential', 'layers': [{'class_name': 'InputLayer', 'config': {'batch_input_shape': [None, 128, 128, 1], 'dtype': 'float32', 'sparse': False, 'ragged': False, 'name': 'conv2d_input'}}, {'class_name': 'Conv2D', 'config': {'name': 'conv2d', 'trainable': True, 'batch_input_shape': [None, 128, 128, 1], 'dtype': 'float32', 'filters': 32, 'kernel_size': [3, 3], 'strides': [1, 1], 'padding': 'same', 'data_format': 'channels_last', 'dilation_rate': [1, 1], 'groups': 1, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'MaxPooling2D', 'config': {'name': 'max_pooling2d', 'trainable': True, 'dtype': 'float32', 'pool_size': [2, 2], 'padding': 'valid', 'strides': [2, 2], 'data_format': 'channels_last'}}, {'class_name': 'Conv2D', 'config': {'name': 'conv2d_1', 'trainable': True, 'dtype': 'float32', 'filters': 32, 'kernel_size': [3, 3], 'strides': [1, 1], 'padding': 'same', 'data_format': 'channels_last', 'dilation_rate': [1, 1], 'groups': 1, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'MaxPooling2D', 'config': {'name': 'max_pooling2d_1', 'trainable': True, 'dtype': 'float32', 'pool_size': [2, 2], 'padding': 'valid', 'strides': [2, 2], 'data_format': 'channels_last'}}, {'class_name': 'Flatten', 'config': {'name': 'flatten', 'trainable': True, 'dtype': 'float32', 'data_format': 'channels_last'}}, {'class_name': 'Dense', 'config': {'name': 'dense', 'trainable': True, 'dtype': 'float32', 'units': 128, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'dtype': 'float32', 'units': 128, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Dropout', 'config': {'name': 'dropout', 'trainable': True, 'dtype': 'float32', 'rate': 0.4, 'noise_shape': None, 'seed': None}}, {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units': 96, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Dropout', 'config': {'name': 'dropout_1', 'trainable': True, 'dtype': 'float32', 'rate': 0.4, 'noise_shape': None, 'seed': None}}, {'class_name': 'Dense', 'config': {'name': 'dense_3', 'trainable': True, 'dtype': 'float32', 'units': 64, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Dense', 'config': {'name': 'dense_4', 'trainable': True, 'dtype': 'float32', 'units': 27, 'activation': 'softmax', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}]}, 'keras_version': '2.4.0', 'backend': 'tensorflow'}
shreyansjain@Shreyanss-MBP Shreyans's Coding % pip install from keras.models model_from_json
ERROR: Could not find a version that satisfies the requirement from (from versions: none)
ERROR: No matching distribution found for from
shreyansjain@Shreyanss-MBP Shreyans's Coding % /usr/local/bin/python3 "/Users/shreyansjain/Documents/Shreyans's Coding/eduASL/ASL model/Application.p
y"
Starting Application...
Traceback (most recent call last):
File "/Users/shreyansjain/Documents/Shreyans's Coding/eduASL/ASL model/Application.py", line 362, in @keras.saving.register_keras_serializable(). Full object config: {'class_name': 'Sequential', 'config': {'name': 'sequential', 'layers': [{'class_name': 'InputLayer', 'config': {'batch_input_shape': [None, 128, 128, 1], 'dtype': 'float32', 'sparse': False, 'ragged': False, 'name': 'conv2d_input'}}, {'class_name': 'Conv2D', 'config': {'name': 'conv2d', 'trainable': True, 'batch_input_shape': [None, 128, 128, 1], 'dtype': 'float32', 'filters': 32, 'kernel_size': [3, 3], 'strides': [1, 1], 'padding': 'same', 'data_format': 'channels_last', 'dilation_rate': [1, 1], 'groups': 1, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'MaxPooling2D', 'config': {'name': 'max_pooling2d', 'trainable': True, 'dtype': 'float32', 'pool_size': [2, 2], 'padding': 'valid', 'strides': [2, 2], 'data_format': 'channels_last'}}, {'class_name': 'Conv2D', 'config': {'name': 'conv2d_1', 'trainable': True, 'dtype': 'float32', 'filters': 32, 'kernel_size': [3, 3], 'strides': [1, 1], 'padding': 'same', 'data_format': 'channels_last', 'dilation_rate': [1, 1], 'groups': 1, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'MaxPooling2D', 'config': {'name': 'max_pooling2d_1', 'trainable': True, 'dtype': 'float32', 'pool_size': [2, 2], 'padding': 'valid', 'strides': [2, 2], 'data_format': 'channels_last'}}, {'class_name': 'Flatten', 'config': {'name': 'flatten', 'trainable': True, 'dtype': 'float32', 'data_format': 'channels_last'}}, {'class_name': 'Dense', 'config': {'name': 'dense', 'trainable': True, 'dtype': 'float32', 'units': 128, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'dtype': 'float32', 'units': 128, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Dropout', 'config': {'name': 'dropout', 'trainable': True, 'dtype': 'float32', 'rate': 0.4, 'noise_shape': None, 'seed': None}}, {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units': 96, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Dropout', 'config': {'name': 'dropout_1', 'trainable': True, 'dtype': 'float32', 'rate': 0.4, 'noise_shape': None, 'seed': None}}, {'class_name': 'Dense', 'config': {'name': 'dense_3', 'trainable': True, 'dtype': 'float32', 'units': 64, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Dense', 'config': {'name': 'dense_4', 'trainable': True, 'dtype': 'float32', 'units': 27, 'activation': 'softmax', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}]}, 'keras_version': '2.4.0', 'backend': 'tensorflow'}
My camera turns on for a second and then it just turns off. How do I solve this?
sanjeeey
commented
6 months ago @shreyanscrystal Hey bro, I have got same error as yours. Can u help me how u solved these errors if u are done with this project.
shreyanscrystal
commented
6 months ago @sanjeeey nope, I'm still trying to solve the problem. I just hope that @emnikhil can respond when they have time.
emnikhil
commented
6 months ago I checked on the error, may be It is because of the function tf.keras.models.Sequential in the Model.ipynb file
So, check this link https://www.tensorflow.org/api_docs/python/tf/keras/utils/register_keras_serializable and try to update it and re run the model.
And it may resolve the issue. As I haven't worked on Machine Learning projects since 2021 so, might not be able to dive deep into the error logic.
Or try to check the error log on chatgpt may be you can find some information from there.
AyushKatre05
commented
6 months ago i want to know how you add images in corresonding folder by training
emnikhil
commented
6 months ago @AyushKatre05 There are two python files TrainingDataCollection.py and TestingDataCollection.py which I have created and used for adding images to the training and testing folders. So, you can use those files for adding more images to the training or testing folders.
rohith1921
commented
2 months ago @shreyanscrystal Hey bro, I have got same error as yours. Can u help me how u solved these errors if u are done with this project.
hey bro i got the same error can u solve this please
shreyanscrystal
commented
2 months ago I have not been able to solve it. I just gave up after no help.
On Sun, Aug 18, 2024 at 12:29 AM rohith1921 @.***> wrote:
@shreyanscrystal https://github.com/shreyanscrystal Hey bro, I have got same error as yours. Can u help me how u solved these errors if u are done with this project.
hey bro i got the same error can u solve this please
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Hi, I am running "application.py" and here is the error I am getting (I have already pip installed keras and all the other libraries)
shreyansjain@Shreyanss-MBP Shreyans's Coding % /usr/local/bin/python3 "/Users/shreyansjain/Documents/Shreyans's Coding/eduASL/ASL model/Application.p y" Traceback (most recent call last): File "/Users/shreyansjain/Documents/Shreyans's Coding/eduASL/ASL model/Application.py", line 18, in
from keras.models import model_from_json
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/init.py", line 8, in
from keras import _tf_keras
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/_tf_keras/init.py", line 1, in
from keras._tf_keras import keras
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/_tf_keras/keras/init.py", line 8, in
from keras import activations
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/activations/init.py", line 8, in
from keras.src.activations import deserialize
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/src/init.py", line 1, in
from keras.src import activations
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/src/activations/init.py", line 3, in
from keras.src.activations.activations import elu
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/src/activations/activations.py", line 1, in
from keras.src import backend
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/src/backend/init.py", line 9, in
from keras.src.backend.common.dtypes import result_type
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/src/backend/common/init.py", line 2, in
from keras.src.backend.common.dtypes import result_type
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/src/backend/common/dtypes.py", line 5, in
from keras.src.backend.common.variables import standardize_dtype
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/src/backend/common/variables.py", line 10, in
from keras.src.utils.module_utils import tensorflow as tf
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/src/utils/init.py", line 12, in
from keras.src.utils.model_visualization import model_to_dot
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/src/utils/model_visualization.py", line 8, in
from keras.src.utils import tree
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/keras/src/utils/tree.py", line 12, in
from tensorflow.python.trackable.data_structures import ListWrapper
ModuleNotFoundError: No module named 'tensorflow'
What does this mean? Thanks