Open
Description
Have I written custom code (as opposed to using a stock example script provided in MediaPipe)
None
OS Platform and Distribution
Mac M2
Mobile device if the issue happens on mobile device
No response
Browser and version if the issue happens on browser
No response
Programming Language and version
python
MediaPipe version
0.10.9 (latest version working on Mac - #5168)
Bazel version
No response
Solution
FaceLandmarker
Android Studio, NDK, SDK versions (if issue is related to building in Android environment)
No response
Xcode & Tulsi version (if issue is related to building for iOS)
No response
Describe the actual behavior
The same image should produce the same results.
Describe the expected behaviour
Consecutive calls to detect_for_video
return different results for the same image.
Standalone code/steps you may have used to try to get what you need
from mediapipe import Image
from mediapipe.tasks.python import BaseOptions
from mediapipe.tasks.python.vision import (
FaceLandmarker,
FaceLandmarkerOptions,
RunningMode,
)
base_options = BaseOptions(
model_asset_path="face_landmarker_v2_with_blendshapes.task"
)
options = FaceLandmarkerOptions(
base_options=base_options,
running_mode=RunningMode.VIDEO, # LIVE_STREAM has the same issue as video
output_face_blendshapes=True,
num_faces=1,
)
image = Image.create_from_file("neutral_face_photo.png")
with FaceLandmarker.create_from_options(options) as model:
for timestamp in range(10):
first_blendshape = model.detect_for_video(image, timestamp).face_blendshapes[0][0].score
print(timestamp, first_blendshape)
# detect / IMAGE: 3.8817524909973145e-06
Other info / Complete Logs
0 3.8817524909973145e-06
1 3.895277131960029e-06
2 3.8954626688791905e-06
3 3.896072030329378e-06
4 3.8940884223848116e-06
5 3.894496785505908e-06
6 3.8950020098127425e-06
7 3.893160283041652e-06
8 3.893947450706037e-06
9 3.89325668948004e-06