Answered: Step 1. Intersection over Union def…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Step 1. Intersection over Union

def intersection_over_union(dt_bbox, gt_bbox): ---> return iou

Step 2. Evaluate Sample

def evaluate_sample(target_pred, target_true, iou_threshold=0.5): ----> return results

Step 3. Evaluate Model

def evaluate(model, test_loader, device): ---> return auc(recall, precision)

Step 4. Train function

Now define the functions for training the model.

def train_one_epoch(model, train_dataloader, optimizer, device):

# YOUR CODE HERE

# TRAIN YOUR MODEL ON THE train_dataloader

pass

def train(model, train_dataloader, val_dataloader, optimizer, device, n_epochs=10):

for epoch inrange(n_epochs):

model.eval()

test_auc = evaluate(model, val_dataloader, device=device)

print("AUC ON TEST: {:.4f}".format(test_auc))

model.train()

train_one_epoch(model, train_dataloader, optimizer, device=device)

#for refrence and data detail go to ---> https://colab.research.google.com/github/hse-aml/intro-to-dl-pytorch/blob/main/week03/SGA1_Object_Detection.ipynb#scrollTo=26JW24UJSmaq

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