python_for_image_processing_APEER

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data/k-means.xlsx missing in tutorial71

aminams786

hmf

i try with another dataset, it always crashed in: #XGBOOST import xgboost as xgb model = xgb.XGBClassifier(tree_method='gpu_hist', gpu_id=0) model.fit(X_for_training, y_train) #For sklearn no one hot encoding

dot3kse

Does anyone have any idea what could be causing such results? Predict on the 4th columns  Confusion matrix (I have 8 class) : 

Noctale

I'm implementing a UNet neural network but I'm having some issues while importing libraries. I found a solution for a couple of them, but I still have a problem with...

GiaZ90

Sir, inspired by your tutorial and other references I tried with HOCR output, but 3 things is pulling me back from final output. 1. Removal of black scattered dust between...

cphmine

Hi, Thank you for sharing this code. I have two (reference and tested) images of different sizes (H*W). The PSNR and RMSE in the code did not work with different...

Mohamed-DL

Subtract_background_rolling_ball (line 57) seems to modify the original image that is used as an argument (even though a different object is created for the output). That is why plotting the...

caeduft