Comments (4)
In fact, in the test demo program provided by me, the initial number is set to 20, that is, each image is predicted 20 times, and then output the average as final output. Of course this will be much slower. In practice, you may change the initial number to a small number such as 2 or 3, it will be much faster and the accuracy will not be affected too much.
from facealignment.
It takes about 10ms.
from facealignment.
You may also refer to this issue #17
from facealignment.
It cost 160ms in our tests,what't the problem?
On Sunday, May 10, 2015, Bi Sai [email protected] wrote:
You may also refer to this issue #17
#17—
Reply to this email directly or view it on GitHub
#16 (comment)
.
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Related Issues (20)
- how long would this code spend when we detect feature points HOT 1
- how to get boundingbox.txt and keypoints.txt? HOT 1
- It seem has a bug in 天河
- The trained Model HOT 5
- Sir, can you upload the dabaset and tain model which is shown in the sample results.
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- How to accelerate the algorithm ,And OpenMP is OK?
- Training Own model
- Quite confused by "find max correlation" in Fern.cpp
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