Comments (11)
How many images do you have in training? It shouldn't take more than one day. If you run on the dataset provided my me, it will take about 3-4 hours in general.
There is no minimum first_level_num or second_level_num. But if you provide a too small number, the model got will perform poorly. I can only say that the parameters provided by me in the demo is enough to generate a good model on the provided dataset
from facealignment.
- The total number of images used for training is 1345. first_level_num=10, second_level_num=500. For each level minimum it requires more than one hour time for training.
- when i reduced the first_level_num=2,second_level_num=10, the training finished very fast.
In the TestDemo.cpp line number 59 (cin>>index), what value should i give while running the code,
when i gave index=1, i am getting error message.
from facealignment.
- I will try to improve the performance as soon as possible. You may check out and see the newest version 1 or 2 week later.
- Of course, if you reduce second_level_num to 10 (original is 500), it will be much faster, however, the performance will be poor.
- "index" should be the index of the test image. Make sure that that path to the test image is correct.
from facealignment.
Thanks for your reply . now its working for me. suppose if i want to use my own database for training, then how to create the keypoints.txt, because i want to increase the number of landmarks.
from facealignment.
keypoints.txt is in the following format: for each line, first list the x coordinate of each landmark, then list the y coordinate of each landmark, separated by space.
from facealignment.
Manually we have to collect x and y coordinate of each landmark sir, or any other method to do..
is there any programming to do sir..
from facealignment.
@mohanrajmit I have modified the program. It should be faster now, although it still cannot achieve the speed described by the paper :(
In terms of landmarks, of course you have to collect them manually if you want a new training dataset.
from facealignment.
thanks for your immediate reply, where can i download the modified program for training.
can you mail me the code to [email protected], i can cite your paper.
from facealignment.
Just download through github, which is the new version.
On Thu, Nov 13, 2014 at 11:29 AM, Mohanraj [email protected] wrote:
thanks for your immediate reply, where can i download the modified program
for training.
can you mail me the code to [email protected], i can cite your paper.—
Reply to this email directly or view it on GitHub
#3 (comment)
.
*毕 赛 / BI SAI *
Department of Computer Science
Faculty of Engineering
University of Hong Kong
Phone:(+852)54931076
Email:[email protected] [email protected]
from facealignment.
thank u ..
from facealignment.
what are the values must be present in boundingbox.txt file for training and testing.
Is it x,y,width and height of face region.
from facealignment.
Related Issues (20)
- How much time does it cost to do predicting for an image? HOT 4
- 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.
- Segmentation Fault in test code HOT 1
- keypoint.txt landmark is error?
- Performance issue
- Couldn't get output model.txt after trainning HOT 1
- CMakeLists.txt should include opencv headers
- The purpose of the bounding box HOT 1
- Can I detect the face_profile with the original code?
- Bug in calculate_covariance? HOT 1
- How to accelerate the algorithm ,And OpenMP is OK?
- Training Own model
- Quite confused by "find max correlation" in Fern.cpp
- Random Projection
- how to understand the random projection in this parper
- Missing term in correlation calculation
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