Answered: Step 3. Evaluate Model To assess the…

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 3. Evaluate Model

To assess the quality of the model, we will use the mAP metric defined as AP Area under the curve. To do this, you will need to calculate recall andprecision.

from sklearn.metrics import auc

def evaluate(model, test_loader, device):

results = []

model.eval()

nbr_boxes = 0

with torch.no_grad():

for batch, (images, targets_true) inenumerate(test_loader):

images = list(image.to(device).float() for image in images)

targets_pred = model(images)

targets_true = [{k: v.cpu().float() for k, v in t.items()} for t in targets_true]

targets_pred = [{k: v.cpu().float() for k, v in t.items()} for t in targets_pred]

for i inrange(len(targets_true)):

target_true = targets_true[i]

target_pred = targets_pred[i]

nbr_boxes += target_true['labels'].shape[0]

results.extend(evaluate_sample(target_pred, target_true))

results = sorted(results, key=lambda k: k['score'], reverse=True)

# compute precision and recall to calculate mAP

## YOUR CODE HERE

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=jhmZOkQajpwZ

# for step 1 and 2 go to --->

https://www.bartleby.com/questions-and-answers/step-1.-intersection-over-union-def-intersection_over_uniondt_bbox-gt_bbox-greater-return-iou-step-2/c87fbbd7-7f0e-4016-83a3-a8f488920cba

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