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while try to train ....this comes up....please help!

As can be seen below, the following code was used when training a Unet model through Spyder. I ended up taking a look at a Youtube tutorial by DigitalSreeni,in episode 208 where he looked at multi class semantic segmentation with the help of a Unet neural network. I recreated everything except the i...

Hi, Everyone I hope all are doing well I have a general question to ask, actually I am new to the field of image segmentation and working with aerial image segmentation. So, I like to know that do we need to convert the mask into one channel Mode L image or we can train directly the RGB mask. Actual...

Hello, I am trying to download membrance dataset with this given link but it gives me ERR_CONNECTION_TIMED_OUT error. I searched on Google but I couldn't find a way to download this dataset. Could you please help me?

python_for_microscopists/180_LSTM_encoder_decoder_anomaly_GE.py Line 106 in d68e4a5 history = model.fit(trainX, trainY, epochs=10, batch_size=32, validation_split=0.1, verbose=1) The fit...

since your code, changes the random seed to do the same transformation on both image and mask, it will cause the number = random.randint(0, len(images)) to have only two different outputs, which results in only two images being used for data augmentation. to solve this, I changed the transformation...

ImportError Traceback (most recent call last) \R\WIN-LI1\3.6/ipykernel_8504/614165243.py in 5 from sklearn.preprocessing import MinMaxScaler 6 scaler = MinMaxScaler() ----> 7 from keras.utils import to_categorical 8 9 #Use this to preprocess input for transfer learn...

Would it be better to put your dataset info in README.md ???

Please help! I really want to get smooth predictions on my images. My images only have 3 channels, and I keep getting this error after the smooth blending step