Comments (7)
参考 IBUG 上的格式
from face-alignment-at-3000fps.
你好,我按照格式设置好了数据库,训练集有200张图片,测试图片的错误率有0.34,而且stage4比stage3的错误率还要高。是我数据库设置出了问题吗
from face-alignment-at-3000fps.
@vinccccho 训练数据太少了,另外注意下数据的准确性
from face-alignment-at-3000fps.
run函数里面有对landmark值的读取,而且根据这些值和bbox计算得到了roi,请问咋样测试自己的无landmark值得图片呢?
from face-alignment-at-3000fps.
@532741697 用 OpenCV 检脸得到框之后再做标点
from face-alignment-at-3000fps.
你好,我已经训练了一个模型,眼睛,眉毛和鼻子都没问题,可是嘴巴不能张开,什么原因呢?我是用prepare准备数据(以opencv提取bbox),test也用opencv提取bbox,就是不能张大嘴,不知道那里出错了。
from face-alignment-at-3000fps.
@simon5u 还是训练数据的问题,可以尝试不用 opencv 取框,因为这样做会导致很多脸被筛掉。可以考虑的策略是按某种规则根据 68 个点来选取框,然后做训练,最后应用模型时将前面检测器的框做调整。
from face-alignment-at-3000fps.
Related Issues (20)
- alignment model HOT 2
- Assertion error on void genTxt() HOT 1
- Dataset site is offline (http://ibug.doc.ic.ac.uk/resources/facial-point-annotations)
- Dataset site is offline
- Assertion fail on FaceAlignment prepare HOT 3
- memory free ERROR @x64 train HOT 4
- variance question
- test
- is pupils landmark wrong in common.cpp? HOT 1
- webcam model test? HOT 1
- 代码速度问题 HOT 1
- test的时候用到了ground true数据 HOT 20
- out of Memory HOT 2
- SWAP of landmarks HOT 2
- SimilarityTransform returning identity HOT 4
- dataset挂了 HOT 1
- 能分享一下训练好的模型吗? HOT 2
- why current_shapes[idx] = bboxes_[i].ReProject(bboxes_[k].Project(gt_shapes_[k])) ? HOT 1
- Lib versions problem HOT 2
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from face-alignment-at-3000fps.