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A very fast and lightweight model based on graph convolutional network (GCN) for Low Light Image Enhancement (LLIE)

cnn-keras computer-vision denoising gcn graph graphconvolution image-processing imageenhancement inversepixelshuffle keras keras-tensorflow lightweightnetwoks low-light-image-enhancement lowlightenhancement machine-learning neural-network pixelshuffle python real-time tensorflow

lightweightgcn-model's Introduction

Hi ๐Ÿ‘‹, I'm Santosh Kumar Panda ย 

๐Ÿ’ป PhD Senior Research fellow ๐Ÿ“Š

ย santoshpanda1995

santoshpanda1995

- ๐Ÿ‘‹ Hello there, I am Santosh Kumar Panda - I was University Gold Medalist in my Master's. - I have done my MPhil degree in Image processing. - I am currently pursuing my Ph.D. from NIT Rourkela - I am a DST Inspire fellow, Funded by Govt of India - ๐Ÿ‘€ Iโ€™m interested in Computer vision, Image Processing and Machine learning - ๐ŸŒฑ Iโ€™m currently learning Deep learning - ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on the above topics

Checkout my Portfolio- santoshpanda1995.github.io/portfolio/

Connect with me:

Santosh Kumar Panda | Linkedin Santosh Kumar Panda | ORCID Santosh Kumar Panda | Google Scholar Santosh Kumar Panda | Instagram Santosh Kumar Panda | Facebook Santosh Kumar Panda | Researchgate Santosh Kumar Panda | Scopus Santosh Kumar Panda | Github Portfolio Santosh Kumar Panda | Gmail

Languages and Tools:

c cplusplus css3 html5 java javascript matlab mysql opencv pandas photoshop php postgresql python pytorch scikit_learn seaborn tensorflow unity



santoshpanda1995

ย santoshpanda1995

santoshpanda1995

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lightweightgcn-model's Issues

DeSubpixelConv2D missing layer

After fixing some imports, I am getting this error:
Could you provide the custom_object, or maybe a link to a working Google Colab notebook?

[/usr/local/lib/python3.10/dist-packages/keras/src/legacy/saving/serialization.py](https://localhost:8080/#) in class_and_config_for_serialized_keras_object(config, module_objects, custom_objects, printable_module_name)
    352     )
    353     if cls is None:
--> 354         raise ValueError(
    355             f"Unknown {printable_module_name}: '{class_name}'. "
    356             "Please ensure you are using a `keras.utils.custom_object_scope` "

ValueError: Unknown layer: 'DeSubpixelConv2D'. Please ensure you are using a `keras.utils.custom_object_scope` and that this object is included in the scope. See https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details.

load_model failed

Traceback (most recent call last):
File "/Users/leizh007/Downloads/ConvertMlmodellc/a.py", line 29, in
Model = load_model('/Users/leizh007/Downloads/ConvertMlmodellc/LightweightGCN-Model/LightweightGCN.h5')
File "/opt/homebrew/lib/python3.10/site-packages/keras/src/saving/saving_api.py", line 189, in load_model
return legacy_h5_format.load_model_from_hdf5(
File "/opt/homebrew/lib/python3.10/site-packages/keras/src/legacy/saving/legacy_h5_format.py", line 133, in load_model_from_hdf5
model = saving_utils.model_from_config(
File "/opt/homebrew/lib/python3.10/site-packages/keras/src/legacy/saving/saving_utils.py", line 85, in model_from_config
return serialization.deserialize_keras_object(
File "/opt/homebrew/lib/python3.10/site-packages/keras/src/legacy/saving/serialization.py", line 495, in deserialize_keras_object
deserialized_obj = cls.from_config(
File "/opt/homebrew/lib/python3.10/site-packages/keras/src/models/model.py", line 521, in from_config
return functional_from_config(
File "/opt/homebrew/lib/python3.10/site-packages/keras/src/models/functional.py", line 477, in functional_from_config
process_layer(layer_data)
File "/opt/homebrew/lib/python3.10/site-packages/keras/src/models/functional.py", line 457, in process_layer
layer = saving_utils.model_from_config(
File "/opt/homebrew/lib/python3.10/site-packages/keras/src/legacy/saving/saving_utils.py", line 85, in model_from_config
return serialization.deserialize_keras_object(
File "/opt/homebrew/lib/python3.10/site-packages/keras/src/legacy/saving/serialization.py", line 473, in deserialize_keras_object
(cls, cls_config) = class_and_config_for_serialized_keras_object(
File "/opt/homebrew/lib/python3.10/site-packages/keras/src/legacy/saving/serialization.py", line 354, in class_and_config_for_serialized_keras_object
raise ValueError(
ValueError: Unknown layer: 'DeSubpixelConv2D'. Please ensure you are using a keras.utils.custom_object_scope and that this object is included in the scope. See https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details.

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