Comments (3)
- 没区别
- 模型不同,v3模型更大一些,比v1准确率更高一点
from libfacedetection.train.
- 没区别
- 模型不同,v3模型更大一些,比v1准确率更高一点
谢谢于老师解答,我最近在尝试用keras实现训练,后面训练完想对比下训练效果。
我看这个pytorch的训练annotation是包含了所有的训练集和验证集的,然后测试map是在验证集上进行,也就是说测试的数据在训练的时候用过,这样理解有问题吗?
再次感谢。
from libfacedetection.train.
- 没区别
- 模型不同,v3模型更大一些,比v1准确率更高一点
谢谢于老师解答,我最近在尝试用keras实现训练,后面训练完想对比下训练效果。
我看这个pytorch的训练annotation是包含了所有的训练集和验证集的,然后测试map是在验证集上进行,也就是说测试的数据在训练的时候用过,这样理解有问题吗?
再次感谢。
@fire717 你好。
$libfacedetection.train/data/WIDER_Face_rect/annotations
下包含了WIDER Face train和val的标注,但是训练的时候
libfacedetection.train/tasks/task1/train.py
Line 104 in 9ac244c
libfacedetection.train/src/data.py
Lines 293 to 315 in 9ac244c
是从
$libfacedetection.train/data/WIDER_Face_rect/img_list.txt
中读取图片和标注文件的列表的,这个文件中所有的图片都是来自于WIDER Face train的。这个你可以自行验证一下。
因此,训练的数据并没有包括WIDER Face的验证集。
from libfacedetection.train.
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from libfacedetection.train.