Sumant Tyagi

use numpy simply alot the class 255 pixel value in all 3 channel. I guess you are using opencv or something to display image in python that's the issue please...

----> 9 loss1 = categorical_crossentropy(class_weights = classwt1) TypeError: __call__() got an unexpected keyword argument 'class_weights' how to deal with it

i have one doubt , i am getting error for using hot encoding for multi class classification 541 str_values = [compat.as_bytes(x) for x in proto_values] 542 except TypeError: 15 frames...

when i am running this line :**from segmentation_models import Unet** getting this error : AttributeError: module 'tensorflow_core.compat.v2' has no attribute '__internal__' can anybody help me with it i am using...

> It seems like TensorFlow 2 is not yet supported. can you please mention the dependency or requirement to run this repo... i have tried every combination though still not...

class_weights should be a list or numpy array ?

yes very much.

@1297rohit https://app.reviewnb.com/Esri/arcgis-python-api/blob/oriented_imagery_sample/samples%2F04_gis_analysts_data_scientists%2Ftraffic_light_detection_on_oriented_imagery.ipynb/discussion

@hsnbsrbalaban still facing the same issue in linux machine

i am also facing the same issue please guide me how to solve this problem ? to train the model ?