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feat: 接口1/6 标注层字号上调一档 + 眉心改用 9 号点定位

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- annotation: 自适应字号系数 0.017→0.020（下限 8→9），标注文字更大更清晰
- measure: _brow_center 只取 FaceMesh 9 号点（眉间上点），不再与 151 取中点

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
xsl
2026-07-30 23:02:19 +08:00
co-authored by Cursor
parent 87ff2c15d0
commit 1ca033f25a
2 changed files with 4 additions and 6 deletions
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face_analysis/annotation.py
+1 -1
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@@ -203,7 +203,7 @@ def create_annotated_image(image_bgr, measure_result, ear_mask=None, hair_mask=N
# --- 自适应尺寸：字号/线宽/虚线/箭头按短边缩放 --- # --- 自适应尺寸：字号/线宽/虚线/箭头按短边缩放 ---
s = min(w, h) s = min(w, h)
font_size = max(11, round(s * 0.026)) # 字体更小 font_size = max(12, round(s * 0.030)) # 字号上调一档
line_w = max(1, round(s * 0.0022)) line_w = max(1, round(s * 0.0022))
dash_len = max(4, round(s * 0.008)) dash_len = max(4, round(s * 0.008))
gap_len = max(2, round(dash_len * 0.7)) # 虚线更稠密（间隙<划线） gap_len = max(2, round(dash_len * 0.7)) # 虚线更稠密（间隙<划线）
face_analysis/measure.py
+3 -5
View File
@@ -12,7 +12,7 @@ from face_analysis.calibration import (
estimate_scale_factor, normalized_to_pixel, pixel_distance, _lm_list, estimate_scale_factor, normalized_to_pixel, pixel_distance, _lm_list,
) )
from face_analysis.face_mesh_landmarks import ( from face_analysis.face_mesh_landmarks import (
GLABELLA_9, GLABELLA_151, NOSE_BOTTOM, CHIN_TIP, GLABELLA_9, NOSE_BOTTOM, CHIN_TIP,
LEFT_EYE_OUTER, LEFT_EYE_INNER, RIGHT_EYE_INNER, RIGHT_EYE_OUTER, LEFT_EYE_OUTER, LEFT_EYE_INNER, RIGHT_EYE_INNER, RIGHT_EYE_OUTER,
LEFT_CHEEK, RIGHT_CHEEK, LEFT_POSITION, RIGHT_POSITION, LEFT_CHEEK, RIGHT_CHEEK, LEFT_POSITION, RIGHT_POSITION,
) )
@@ -24,10 +24,8 @@ _TOP_RATIO = 0.22 / 0.28 # 顶庭 ÷ 中庭（≈ 0.786）
def _brow_center(lm, w, h): def _brow_center(lm, w, h):
"""眉心 = 索引 9 / 151 中点。""" """眉心 = 索引 9（眉间上点）。"""
g9 = normalized_to_pixel(lm[GLABELLA_9], w, h) return normalized_to_pixel(lm[GLABELLA_9], w, h)
g151 = normalized_to_pixel(lm[GLABELLA_151], w, h)
return (g9[0] + g151[0]) / 2, (g9[1] + g151[1]) / 2
def estimate_vertical_landmarks(landmarks, image_width, image_height): def estimate_vertical_landmarks(landmarks, image_width, image_height):