Image-Super-Resolution
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titu1994
Implementation of Super Resolution CNN in Keras.
I got an error: `AttributeError: module 'keras.backend' has no attribute 'image_dim_ordering'` If you want to support newer Keras, then according to this: https://github.com/keras-team/keras/issues/12649 the method has be renamed to image_data_format.
Hello, [MSU Graphics & Media Lab Video Group](https://videoprocessing.ai/) has recently launched two new Super-Resolution Benchmarks. * [Video Upscalers Benchmark: Quality Enhancement](https://videoprocessing.ai/benchmarks/video-upscalers.html) determines the best upscaling methods for increasing video resolution...
Good day, First of all, thanks for contributing the source code and I am very much appreciate it. But, I have faced a problem when running "main.py", which is: Python...
This is the input code I've Given: X_array=np.asarray(X_train).astype(np.int) y_array=np.asarray(y_train).astype(np.int) X_shaped = np.reshape(X_array, newshape=(-1,18727,3)) y_shaped = np.reshape(y_array,newshape=(-1,18727,2)) model = Sequential() model.add(LSTM(units=1, input_shape=(10000,3), return_sequences=True)) model.add(LSTMt_shape=(1,18727,3),dropout=0.25,return_sequences=True, input_shape=(-1,18727,2))) model.add(LSTM(132,batch_input_shape=(1,18727,2),dropout=0.25,return_sequences=True)) model.add(Dense(1,batch_input_shape=(1,18727,3),activation='softmax',batch_size=32)) model.add(Dense(1,batch_input_shape=(1,18727,2),activation='softmax',batch_size=32)) model.compile(loss="mean_absolute_error", optimizer="adam", metrics=...
The given below is the error I've got. Epoch 1/25 WARNING:tensorflow:Model was constructed with shape (None, 18729, 2, 1) for input KerasTensor(type_spec=TensorSpec(shape=(None, 18729, 2, 1), dtype=tf.float32, name='conv2d_16_input'), name='conv2d_16_input', description="created by...
hi, when we try to train on our own dataset, your scaling factor is not working at all. the code is so poor written, takes me so long to fix...
Traceback (most recent call last): File "C:/Users/DELL/Desktop/Super-Resolution-Images-master/main.py", line 41, in for p in path(): TypeError: 'NoneType' object is not callable。In the main.py I cannot to solve, Can you tell me...
 I can't run because of above error message. (I'm using GPU)
Please take a look at https://github.com/ChaofWang/Awesome-Super-Resolution and https://github.com/YapengTian/Single-Image-Super-Resolution for other algorithms that you can implement in order to be complete. Also other parts of interest: - https://github.com/xiaomi-automl/FALSR - https://github.com/huangzehao/Super-Resolution.Benckmark -...
