alpr-ocr / tests /test_app.py
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Convert to Gradio and add complete ALPR OCR system
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import pytest
import numpy as np
from PIL import Image
import gradio as gr
# Mock test for the ALPR system
def test_requirements_import():
"""Test that all required packages can be imported"""
try:
import cv2
import numpy as np
import gradio as gr
from PIL import Image
from fast_alpr import ALPR
assert True
except ImportError as e:
pytest.fail(f"Failed to import required package: {e}")
def test_image_processing():
"""Test basic image processing functionality"""
# Create a dummy image
dummy_img = np.random.randint(0, 255, (100, 100, 3), dtype=np.uint8)
# Test PIL conversion
pil_img = Image.fromarray(dummy_img)
assert pil_img.size == (100, 100)
# Test numpy conversion back
img_array = np.array(pil_img)
assert img_array.shape == (100, 100, 3)
def test_streamlit_components():
"""Test that Streamlit components can be created"""
# This is a basic test to ensure the app structure is valid
assert True