Comments (8)
from fast-face-android.
lower number of pyramidal layer
does that means doing face detection?
now my porblem is mainly on landmark predictor part.it's quiet slow.about 150-200ms.
I don't know why..
from fast-face-android.
davisking/dlib#604
this is the process I did.
I use the code of dlib version 19.1 because I cant get through the version 19.4 on simd part's compile.
from fast-face-android.
I found the solution,...I should build the project in release mode..
from fast-face-android.
from fast-face-android.
yes,on Android device.
did you integrated the NEON support ?
I use the 19.1 source code of dlib, because I cant compile the 19.4 through.the simd fils always get errors.
I use the opencv to do face detection, I can optimize it to under 10ms and still usable.
from fast-face-android.
did you eat 粽子 these days btw? :-)
from fast-face-android.
from fast-face-android.
Related Issues (20)
- face recognition HOT 3
- Optimize the jni native code HOT 4
- Why MainActivity_ ? HOT 1
- Contents Above 150 MB HOT 1
- Where is the revised jni_face_det file along with the detector header?
- What resolution image does the 50-70 ms time estimate apply to? HOT 1
- How to select only lip's landmarks HOT 6
- How did you optimize dlib? HOT 2
- Caused by: org.gradle.tooling.BuildException: invalid code lengths set
- Can this APP realize the function of face expression recognition HOT 1
- IOS version HOT 1
- Getting crashed when sending first frame of camera in some devices
- gradle 7.0
- why my camera phone didn't showing?? HOT 7
- How can I separate the face detection from the landmark extraction? HOT 3
- how can I change the min face size that the detector detects HOT 1
- front camera HOT 2
- What are the methods behind your Fast-Face? HOT 3
- How can I detect the middle of the forehead? HOT 1
- Get NDK path with this approach.
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from fast-face-android.