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import cv2 | |
import gradio as gr | |
from z_app_factory import get_app | |
def inference(image): | |
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) | |
lst2d_res = get_app(image) | |
thickness = 3 | |
lineType = 8 | |
font = cv2.FONT_HERSHEY_SIMPLEX | |
for face in lst2d_res: | |
bbox = [int(i) for i in face["bbox"]] | |
score = face['score'] | |
point_color = (0, int(255 * score), 0) # BGR | |
x1, y1 = bbox[:2] | |
x2, y2 = bbox[2:] | |
cv2.putText(image, str(score)[:4], (x1, y1 - 10), font, 0.8, (0, 255, 0), 2) | |
cv2.line(image, (x1, y1), (x2, y1), point_color, thickness, lineType) | |
cv2.line(image, (x2, y1), (x2, y2), point_color, thickness, lineType) | |
cv2.line(image, (x1, y1), (x1, y2), point_color, thickness, lineType) | |
cv2.line(image, (x1, y2), (x2, y2), point_color, thickness, lineType) | |
for kp in face["kps"]: | |
x, y = [int(i) for i in kp] | |
cv2.circle(image, (x, y), 2, (2, 30, 200), 2) | |
landmarks = face["landmarks"] | |
lst = [[int(i) for i in kp] for kp in landmarks] | |
for i, kp in enumerate(lst): | |
x, y = kp | |
cv2.circle(image, (x, y), 2, (200, 200, 20), 2) | |
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) | |
return image | |
title = "Face Keypoint" | |
description = "demo for Face Keypoint. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below." | |
article = "<p style='text-align: center'><a href='https://www.yuque.com/itmorn/ability/face_keypoint' target='_blank'>Project Documents</a> | <a href='https://www.bilibili.com/video/BV1DN4y1P7j3' target='_blank'>Video Demo</a></p>" | |
gr.Interface( | |
inference, | |
[gr.inputs.Image(label="Input")], | |
gr.outputs.Image(type="pil", label="Output"), | |
title=title, | |
description=description, | |
article=article, | |
examples=[ | |
["imgs/face1.jpg"], | |
["imgs/face2.jpg"], | |
["imgs/cc.png"] | |
]).launch(debug=True) |