人臉偵測

Python 影像處理

Rebeca Gonzalez

Data Engineer

人臉偵測：應用案例

濾鏡
自動對焦
推薦
模糊處理以保護隱私
之後辨識情緒

使用 scikit-image 偵測人臉

# Import the classifier class
from skimage.feature import Cascade


# Load the trained file from the module root.
trained_file = data.lbp_frontal_face_cascade_filename()


# Initialize the detector cascade.
detector = Cascade(trained_file)

來試試看

人臉偵測

# Apply detector on the image
detected = detector.detect_multi_scale(img=image,

                                        scale_factor=1.2,

                                        step_ratio=1,

                                        min_size=(10, 10),
                                        max_size=(200, 200))

已偵測的人臉

print(detected)

# Show image with detected face marked
show_detected_face(image, detected)

Detected face: [{'r': 115, 'c': 210, 'width': 167, 'height': 167}]

顯示偵測到的人臉

def show_detected_face(result, detected, title="Face image"):
    plt.imshow(result)
    img_desc = plt.gca()
    plt.set_cmap('gray')
    plt.title(title)
    plt.axis('off')

    for patch in detected:
        img_desc.add_patch(
            patches.Rectangle(
                (patch['c'], patch['r']),
                patch['width'],
                patch['height'],
                fill=False,color='r',linewidth=2)
        )
    plt.show()

一起來練習吧！

Python 影像處理