FeryET

def load_pretrained():
    pretrained_model = torchvision.models.mobilenetv3.mobilenet_v3_small(pretrained=True,
                                                                         progress=True)
    return pretrained_model.features


class PneumoniaNet(nn.Module):
    def __init__(self, 
                 input_dim,
                 finetune=False):

FeryET

==========================================================================================
Layer (type:depth-idx)                   Output Shape              Param #
==========================================================================================
├─Sequential: 1-1                        [-1, 576, 8, 8]           --
|    └─ConvBNActivation: 2-1             [-1, 16, 128, 128]        (464)
|    └─InvertedResidual: 2-2             [-1, 16, 64, 64]          (744)
|    └─InvertedResidual: 2-3             [-1, 24, 32, 32]          (3,864)
|    └─InvertedResidual: 2-4             [-1, 24, 32, 32]          (5,416)
|    └─InvertedResidual: 2-5             [-1, 40, 16, 16]          (13,736)
|    └─InvertedResidual: 2-6             [-1, 40, 16, 16]          (57,264)

FeryET

              precision    recall  f1-score   support

      Normal       0.98      0.69      0.81       234
   Pneumonia       0.84      0.99      0.91       390

    accuracy                           0.88       624
   macro avg       0.91      0.84      0.86       624
weighted avg       0.89      0.88      0.87       624

test_loss: 0.4041681243823125

FeryET

import os
import shutil
import gzip
from pmaw import PushshiftAPI
import datetime as dt
from tqdm import tqdm
import pandas as pd
from pathlib import Path

# Creating data folder

FeryET

برای شروع میتوانید یک دایرکتوری در سرور خارجی ایجاد کنید و وارد آن شوید.

mkdir vmess
cd vmess