37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
import io
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import unittest
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from pathlib import Path
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import cv2
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import requests # type: ignore
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import numpy as np
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from tinygrad.tensor import Tensor
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from examples.yolov3 import Darknet, infer, show_labels
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from extra.utils import fetch
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chicken_img = cv2.imread(str(Path(__file__).parent / 'efficientnet/Chicken.jpg'))
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car_img = cv2.imread(str(Path(__file__).parent / 'efficientnet/car.jpg'))
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class TestYOLO(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = Darknet(fetch("https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3.cfg"))
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print("Loading weights file (237MB). This might take a while…")
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cls.model.load_weights("https://pjreddie.com/media/files/yolov3.weights")
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@classmethod
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def tearDownClass(cls):
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del cls.model
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def test_chicken(self):
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labels = show_labels(infer(self.model, chicken_img), confidence=0.56)
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self.assertEqual(labels, ["bird"])
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def test_car(self):
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labels = show_labels(infer(self.model, car_img))
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self.assertEqual(labels, ["car"])
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if __name__ == '__main__':
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unittest.main()
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