Comments (1)
No. There is no relation between number of training images and landmarks. My suggestion is that you check the input data and make sure that input data is correct, especially the (x,y) coordinate of bounding box (you may refer to the demo program). In addition, make sure that the size of bounding box is appropriate, instead of being too large or too small.
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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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from facealignment.