evaluate_model.py

import os
import turicreate as tc

path = '../'  # The path to the root of your project directory.
model_path = os.path.join(path, 'pascal.model')  # The path to the trained model. See train_model.py for more.
result_sf_path = os.path.join(path, 'result_data.sframe')  # The path to the result data from training the model.

# Loads the result data from training the model, along with the model itself.
data = tc.SFrame(result_sf_path)
model = tc.load_model(model_path)

# Draws bounding boxes based off of the model's predictions from testing data.
data['image'] = tc.object_detector.util.draw_bounding_boxes(data['image'], data['predictions'])

# Opens the data visualizer.
data.explore()