mirror of
https://github.com/yakhyo/uniface.git
synced 2025-12-30 09:02:25 +00:00
2c78f39e5d
- Add new test files for age_gender, factory, landmark, recognition, scrfd, and utils - Add new scripts for age_gender, landmarks, and video detection - Update documentation in README.md, MODELS.md, QUICKSTART.md - Improve model constants and face utilities - Update detection models (retinaface, scrfd) with enhanced functionality - Update project configuration in pyproject.toml
117 lines
4.0 KiB
Python
117 lines
4.0 KiB
Python
import numpy as np
|
|
import pytest
|
|
|
|
from uniface.attribute import AgeGender
|
|
|
|
|
|
@pytest.fixture
|
|
def age_gender_model():
|
|
return AgeGender()
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_image():
|
|
return np.random.randint(0, 255, (640, 640, 3), dtype=np.uint8)
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_bbox():
|
|
return [100, 100, 300, 300]
|
|
|
|
|
|
def test_model_initialization(age_gender_model):
|
|
assert age_gender_model is not None, "AgeGender model initialization failed."
|
|
|
|
|
|
def test_prediction_output_format(age_gender_model, mock_image, mock_bbox):
|
|
gender, age = age_gender_model.predict(mock_image, mock_bbox)
|
|
assert isinstance(gender, str), f"Gender should be string, got {type(gender)}"
|
|
assert isinstance(age, int), f"Age should be int, got {type(age)}"
|
|
|
|
|
|
def test_gender_values(age_gender_model, mock_image, mock_bbox):
|
|
gender, age = age_gender_model.predict(mock_image, mock_bbox)
|
|
assert gender in ['Male', 'Female'], f"Gender should be 'Male' or 'Female', got '{gender}'"
|
|
|
|
|
|
def test_age_range(age_gender_model, mock_image, mock_bbox):
|
|
gender, age = age_gender_model.predict(mock_image, mock_bbox)
|
|
assert 0 <= age <= 120, f"Age should be between 0 and 120, got {age}"
|
|
|
|
|
|
def test_different_bbox_sizes(age_gender_model, mock_image):
|
|
test_bboxes = [
|
|
[50, 50, 150, 150],
|
|
[100, 100, 300, 300],
|
|
[50, 50, 400, 400],
|
|
]
|
|
|
|
for bbox in test_bboxes:
|
|
gender, age = age_gender_model.predict(mock_image, bbox)
|
|
assert gender in ['Male', 'Female'], f"Failed for bbox {bbox}"
|
|
assert 0 <= age <= 120, f"Age out of range for bbox {bbox}"
|
|
|
|
|
|
def test_different_image_sizes(age_gender_model, mock_bbox):
|
|
test_sizes = [(480, 640, 3), (720, 1280, 3), (1080, 1920, 3)]
|
|
|
|
for size in test_sizes:
|
|
mock_image = np.random.randint(0, 255, size, dtype=np.uint8)
|
|
gender, age = age_gender_model.predict(mock_image, mock_bbox)
|
|
assert gender in ['Male', 'Female'], f"Failed for image size {size}"
|
|
assert 0 <= age <= 120, f"Age out of range for image size {size}"
|
|
|
|
|
|
def test_consistency(age_gender_model, mock_image, mock_bbox):
|
|
gender1, age1 = age_gender_model.predict(mock_image, mock_bbox)
|
|
gender2, age2 = age_gender_model.predict(mock_image, mock_bbox)
|
|
|
|
assert gender1 == gender2, "Same input should produce same gender prediction"
|
|
assert age1 == age2, "Same input should produce same age prediction"
|
|
|
|
|
|
def test_bbox_list_format(age_gender_model, mock_image):
|
|
bbox_list = [100, 100, 300, 300]
|
|
gender, age = age_gender_model.predict(mock_image, bbox_list)
|
|
assert gender in ['Male', 'Female'], "Should work with bbox as list"
|
|
assert 0 <= age <= 120, "Age should be in valid range"
|
|
|
|
|
|
def test_bbox_array_format(age_gender_model, mock_image):
|
|
bbox_array = np.array([100, 100, 300, 300])
|
|
gender, age = age_gender_model.predict(mock_image, bbox_array)
|
|
assert gender in ['Male', 'Female'], "Should work with bbox as numpy array"
|
|
assert 0 <= age <= 120, "Age should be in valid range"
|
|
|
|
|
|
def test_multiple_predictions(age_gender_model, mock_image):
|
|
bboxes = [
|
|
[50, 50, 150, 150],
|
|
[200, 200, 350, 350],
|
|
[400, 400, 550, 550],
|
|
]
|
|
|
|
results = []
|
|
for bbox in bboxes:
|
|
gender, age = age_gender_model.predict(mock_image, bbox)
|
|
results.append((gender, age))
|
|
|
|
assert len(results) == 3, "Should have 3 predictions"
|
|
for gender, age in results:
|
|
assert gender in ['Male', 'Female']
|
|
assert 0 <= age <= 120
|
|
|
|
|
|
def test_age_is_positive(age_gender_model, mock_image, mock_bbox):
|
|
for _ in range(5):
|
|
gender, age = age_gender_model.predict(mock_image, mock_bbox)
|
|
assert age >= 0, f"Age should be non-negative, got {age}"
|
|
|
|
|
|
def test_output_format_for_visualization(age_gender_model, mock_image, mock_bbox):
|
|
gender, age = age_gender_model.predict(mock_image, mock_bbox)
|
|
text = f"{gender}, {age}y"
|
|
assert isinstance(text, str), "Should be able to format as string"
|
|
assert "Male" in text or "Female" in text, "Text should contain gender"
|
|
assert "y" in text, "Text should contain 'y' for years"
|