segmentation using UNet and iterNet and classification ResNet

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شرح پروژه

my project is to try to replace the forward operator of some inverse problems with a properly trained neural network like recurrent neural networks, and the forward operator is 1D convolutional forward modelling based on the full Zoeppritz equations.
My problem is how to put the angle on the dataset to train it to get CMP_gather.
my problem is how to generet the CMP Gather
https://ucarecdn.com/1a90d0f0-4611-403e-94e4-834b1fa479b2/
i would to replace the eq CMP_zoeppret equation with trined networks

the network must be the same for all the angles. In input, I have to give the elastic properties of Vp, Vs and density and the output is the angle gather.
if u are professional in python and computer vision this job for u
its code for classify and segmant kidny ultrasound images
    First
segmentation
UNET model
and

IterNet model for more information look in GitHub https://github.com/humanbeingthere/Pytorch-Iternet
    For Evaluation { Intersection Over Union (IoU) - The mean of  Intersection over Union (MIoU) - Dice Coefficient }
    
than classifcation using ResNet18

    For Evaluation { accuracy- Recall- Specificity- Precision- F1-measure - AUC and ROC Curves }
its code for segmentation using UNet and iterNet and classification ResNet
the dataset is medical images as u see

need to augmenting and preprocessing

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