feat: draft eyes

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Laureηt 2022-11-26 19:57:41 +01:00
parent 58cac43a37
commit 6b751757dd
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@ -8,7 +8,16 @@ from parts.eye import Eye
class Environment:
"""The environment is the main class of the application.
It is responsible for the following:
- detecting the keypoints
- drawing the keypoints
- drawing the avatar
"""
def __init__(self, camera: cv2.VideoCapture) -> None:
"""Initialize the environment."""
# store reference to webcam
self.cam = camera
@ -33,11 +42,12 @@ class Environment:
# create body parts
self.body_parts = {
"left_eye": Eye(False),
"right_eye": Eye(True),
"left_eye": Eye(False, self),
"right_eye": Eye(True, self),
}
def start(self) -> None:
"""Start the environment."""
while self.cam.isOpened():
# read webcam
success, self.frame = self.cam.read()
@ -65,6 +75,7 @@ class Environment:
self.draw_avatar()
def detect_keypoints(self) -> None:
"""Detect the keypoints on the frame."""
with self.mp_face_mesh.FaceMesh(
max_num_faces=1,
refine_landmarks=True,
@ -72,7 +83,7 @@ class Environment:
min_tracking_confidence=0.5,
) as face_mesh:
# perf, mark image as not writeable to pass by reference
# perf, mark image as not writeable, to pass by reference
self.frame.flags.writeable = False
# convert the BGR image to RGB before processing
@ -88,6 +99,7 @@ class Environment:
self.frame = cv2.cvtColor(self.frame, cv2.COLOR_RGB2BGR)
def draw_keypoints(self) -> None:
"""Draw the keypoints on the screen."""
# draw the face mesh annotations on the image.
if self.results.multi_face_landmarks:
for face_landmarks in self.results.multi_face_landmarks:
@ -117,6 +129,7 @@ class Environment:
cv2.imshow("MediaPipe Face Mesh", cv2.flip(self.frame, 1))
def draw_avatar(self) -> None:
"""Draw the avatar on the screen."""
self.screen.fill(pg.Color("green"))
for part in self.body_parts.values():