Update emotion.py
Browse files- emotion.py +58 -46
emotion.py
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@@ -8,6 +8,9 @@ from PIL import Image
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import cv2
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import mediapipe as mp
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from deepface import DeepFace
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@@ -28,11 +31,22 @@ ALIGN_FACE = True # 保留參數(這版 ROI 已是人臉)
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# =========================
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# MediaPipe Face
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# =========================
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# =========================
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@@ -196,70 +210,68 @@ def _zoom_center(frame: np.ndarray, zoom: float) -> np.ndarray:
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return cropped
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# MediaPipe:偵測臉 + 畫白框/紅點
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# =========================
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def _mp_detect_draw_bbox_kp_largest(frame_rgb: np.ndarray):
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"""
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回傳
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drawn_rgb:有臉就畫白框+紅點;沒臉回原圖
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bbox_px: (x, y, w, h) pixel;沒臉則 None
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"""
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if frame_rgb is None:
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return frame_rgb, None
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h, w = frame_rgb.shape[:2]
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res = _FACE_DET.process(frame_rgb) # MediaPipe 吃 RGB
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return frame_rgb, None
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best_det = None
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best_area = -1
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best_bbox = None
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rbb = loc.relative_bounding_box
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x = int(rbb.xmin * w)
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y = int(rbb.ymin * h)
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bw = int(rbb.width * w)
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bh = int(rbb.height * h)
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# clamp
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x = max(0, min(w - 1, x))
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y = max(0, min(h - 1, y))
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bw = max(1, min(w - x, bw))
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bh = max(1, min(h - y, bh))
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area = bw * bh
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if area > best_area:
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best_area = area
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best_det = det
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best_bbox =
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bgr = cv2.cvtColor(frame_rgb, cv2.COLOR_RGB2BGR)
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# 白框
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cv2.rectangle(
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# 紅
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for kp in
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cx = int(kp.x * w)
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cy = int(kp.y * h)
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cv2.circle(bgr, (cx, cy), 6, (0, 0, 255), -1)
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drawn = cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB)
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return drawn, (
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def _reset_state_for_camera(st: AppState) -> AppState:
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@@ -321,8 +333,8 @@ def on_stream(frame_rgb: np.ndarray, st: AppState):
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frame_rgb = _zoom_center(frame_rgb, ZOOM_FACTOR)
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# 每一幀先偵測臉:有臉才畫框/紅點
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frame_drawn, bbox_px =
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# 沒有人臉:不畫框/點,並提醒
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if bbox_px is None:
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return (
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import cv2
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import mediapipe as mp
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from mediapipe.tasks import python
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from mediapipe.tasks.python import vision
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from deepface import DeepFace
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# =========================
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# MediaPipe Tasks Face Detector
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# =========================
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BaseOptions = python.BaseOptions
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FaceDetector = vision.FaceDetector
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FaceDetectorOptions = vision.FaceDetectorOptions
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VisionRunningMode = vision.RunningMode
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_face_detector = FaceDetector.create_from_options(
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FaceDetectorOptions(
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base_options=BaseOptions(
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model_asset_path="blaze_face_short_range.tflite"
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),
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running_mode=VisionRunningMode.IMAGE,
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)
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)
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# =========================
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return cropped
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def mp_tasks_detect_and_draw(frame_rgb: np.ndarray):
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"""
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使用 MediaPipe Tasks
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- 有臉:畫白框 + 紅色 keypoints
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- 回傳 bbox (x,y,w,h)
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"""
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h, w = frame_rgb.shape[:2]
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mp_image = mp.Image(
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image_format=mp.ImageFormat.SRGB,
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data=frame_rgb
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)
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result = _face_detector.detect(mp_image)
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if not result.detections:
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return frame_rgb, None
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# 取「最大臉」
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best_det = None
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best_area = -1
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best_bbox = None
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for det in result.detections:
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bbox = det.bounding_box
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area = bbox.width * bbox.height
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if area > best_area:
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best_area = area
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best_det = det
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best_bbox = bbox
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lx = int(best_bbox.origin_x)
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ly = int(best_bbox.origin_y)
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bw = int(best_bbox.width)
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bh = int(best_bbox.height)
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# clamp
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lx = max(0, min(w - 1, lx))
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ly = max(0, min(h - 1, ly))
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bw = max(1, min(w - lx, bw))
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bh = max(1, min(h - ly, bh))
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bgr = cv2.cvtColor(frame_rgb, cv2.COLOR_RGB2BGR)
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# 白色框
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cv2.rectangle(
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bgr,
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(lx, ly),
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(lx + bw, ly + bh),
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(255, 255, 255),
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3
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)
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# 紅色五官點
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for kp in best_det.keypoints:
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cx = int(kp.x * w)
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cy = int(kp.y * h)
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cv2.circle(bgr, (cx, cy), 6, (0, 0, 255), -1)
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drawn = cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB)
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return drawn, (lx, ly, bw, bh)
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def _reset_state_for_camera(st: AppState) -> AppState:
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frame_rgb = _zoom_center(frame_rgb, ZOOM_FACTOR)
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# 每一幀先偵測臉:有臉才畫框/紅點
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frame_drawn, bbox_px = mp_tasks_detect_and_draw(frame_rgb)
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# 沒有人臉:不畫框/點,並提醒
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if bbox_px is None:
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return (
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