Comments (4)
Hello. The inference time is around 2-3 frames/ second on Titan X.
from hand-cnn.
hi
How can I make it faster about inference time?
from hand-cnn.
The current architecture uses ResNet101 backbone, so it's a big network and the inference time is high. If you want low inference times, you can trade-off the performance using lighter backbones such as ResNet-50. In that case, you should train a new architecture with a new backbone.
from hand-cnn.
thanks for your reply
then how can I make mask-rcnn model off about masks part?
I mean I just want to use this model for only getting rectangle hand bbox
I really appreciate for your help
from hand-cnn.
Related Issues (19)
- Model Load error in detect.py HOT 2
- Annotation quality of TV-Hand HOT 2
- err when loading trained weights. HOT 4
- Can't load model weights HOT 2
- Images in TV hand have errors HOT 1
- Which annotations in Coco hand big are reliable? HOT 1
- ValueError: Error when checking : expected input_image to have shape (None, None, 3) but got array with shape (1024, 1024, 4) HOT 1
- Can it run in tensorflow 2+? HOT 1
- COCO-Hand and TV-Hand datasets License
- COCO-Hands & TV-Hands annotations out of bounds for images.
- When the following error program is encountered
- oxford
- how to determine which hand is right or left? HOT 1
- The model folder is empty
- What about train/val/test split of TV-Hand data set HOT 1
- it seems the training phase takes much time? HOT 1
- trainning dataset can't be downloaded HOT 4
- Getting error while trying to just detect the trained model on my sample image! HOT 2
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from hand-cnn.