Comments (4)
Install tensorflow-gpu dependency first
from retinaface.
Install tensorflow-gpu dependency first
What version of tensorflow-gpu should I use?
from retinaface.
It worked - but it only uses 1% of 3080 gpu.
Is there a way to improve perfomance?
from retinaface.
it seems that it is enough. tf handles gpu related things. we are not customizing anything in the library side.
from retinaface.
Related Issues (20)
- The retina face is too slow on a card with Arm64 Mali GPU. HOT 1
- High VRAM usage on Linux HOT 2
- Which library versions do you suggest for maximum GPU performance on Windows? HOT 1
- add github actions and perform unit tests & linting HOT 1
- create a logger HOT 1
- expanding facial area with percentage HOT 1
- Adding requirements and readme as a data file HOT 1
- Retina-face forces the installation of full tensorflow, even when tensorflow-cpu is already installed HOT 2
- Bug while feeding input image argument from web HOT 1
- do not limit align first detect second with one face HOT 1
- facial area variables HOT 1
- Error: keras to tf HOT 5
- Can detect_faces take in batched inputs? as in several rgb arrays at a time? HOT 1
- Argument `padding` must be either 'valid' or 'same'. Received: padding=VALID HOT 2
- publish a release on pip not to have `Argument padding must be either 'valid' or 'same'. Received: padding=VALID`
- Error when using retinaface with the latest TensorFlow version (2.16.1) HOT 6
- alignment_procedure crashes when both eyes are in the same position HOT 9
- detect_faces image preprocessing? HOT 2
- A KerasTensor cannot be used as input to a TensorFlow function HOT 4
- When extracting faces, sometimes function will return empty array if face is not completely in view. HOT 8
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from retinaface.