我使用OpenCV训练了级联分类器，但是对于每个阶段，它都没有达到合适的误报率。培训过程的一部分如下所示：
===== TRAINING 7-stage =====
<BEGIN
POS count : consumed 13737 : 13749
NEG count : acceptanceRatio 34344 : 0.44846
Precalculation time: 4
+----+---------+---------+
| N | HR | FA |
+----+---------+---------+
| 1| 1| 1|
+----+---------+---------+
| 2| 1| 1|
+----+---------+---------+
| 3| 1| 1|
+----+---------+---------+
| 4| 1| 1|
+----+---------+---------+
| 5| 1| 1|
+----+---------+---------+
| 6| 1| 1|
+----+---------+---------+
| 7| 1| 1|
+----+---------+---------+
| 8| 1| 1|
+----+---------+---------+
| 9| 1| 1|
+----+---------+---------+
| 10| 1| 1|
+----+---------+---------+
| 11| 1| 1|
+----+---------+---------+
| 12| 1| 1|
+----+---------+---------+
| 13| 1| 0.999971|
+----+---------+---------+
| 14| 1| 0.999971|
+----+---------+---------+
| 15| 1| 0.999971|
+----+---------+---------+
| 16| 1| 0.999971|
+----+---------+---------+
| 17| 1| 0.999971|
+----+---------+---------+
| 18| 1| 0.999971|
+----+---------+---------+
| 19| 1| 0.999971|
+----+---------+---------+
| 20| 1| 0.999942|
+----+---------+---------+
| 21| 1| 0.999942|
+----+---------+---------+
| 22| 1| 0.999942|
+----+---------+---------+
| 23| 1| 0.999942|
+----+---------+---------+
| 24| 1| 0.999825|
+----+---------+---------+
| 25| 1| 0.999825|
+----+---------+---------+
| 26| 1| 0.999738|
+----+---------+---------+
| 27| 1| 0.999767|
+----+---------+---------+
| 28| 1| 0.999621|
+----+---------+---------+
| 29| 1| 0.999709|
+----+---------+---------+
| 30| 1| 0.999592|
+----+---------+---------+
| 31| 1| 0.999738|
+----+---------+---------+
| 32| 1| 0.999534|
+----+---------+---------+
| 33| 1| 0.999592|
+----+---------+---------+
| 34| 1| 0.999418|
+----+---------+---------+
| 35| 1| 0.999418|
+----+---------+---------+
| 36| 1| 0.999272|
+----+---------+---------+
| 37| 1| 0.99933|
+----+---------+---------+
| 38| 1| 0.999185|
+----+---------+---------+
| 39| 1| 0.999359|
+----+---------+---------+
| 40| 1| 0.998981|
+----+---------+---------+
| 41| 1| 0.999243|
+----+---------+---------+
| 42| 1| 0.998923|
+----+---------+---------+
| 43| 1| 0.99901|
+----+---------+---------+
| 44| 1| 0.99869|
+----+---------+---------+
| 45| 1| 0.998952|
+----+---------+---------+
| 46| 1| 0.998631|
+----+---------+---------+
| 47| 1| 0.998864|
+----+---------+---------+
| 48| 1| 0.998457|
+----+---------+---------+
| 49| 1| 0.998631|
+----+---------+---------+
| 50| 1| 0.997962|
+----+---------+---------+
| 51| 1| 0.998166|
+----+---------+---------+
| 52| 1| 0.997496|
+----+---------+---------+
| 53| 1| 0.997845|
+----+---------+---------+
| 54| 1| 0.997292|
+----+---------+---------+
| 55| 1| 0.997642|
+----+---------+---------+
| 56| 1| 0.996914|
+----+---------+---------+
| 57| 1| 0.997176|
+----+---------+---------+
| 58| 1| 0.996389|
+----+---------+---------+
| 59| 1| 0.996768|
+----+---------+---------+
| 60| 1| 0.995836|
+----+---------+---------+
| 61| 1| 0.996273|
+----+---------+---------+
| 62| 1| 0.995749|
+----+---------+---------+
| 63| 1| 0.99604|
+----+---------+---------+
| 64| 1| 0.995458|
+----+---------+---------+
| 65| 1| 0.995982|
+----+---------+---------+
| 66| 1| 0.99473|
+----+---------+---------+
| 67| 1| 0.995196|
+----+---------+---------+
| 68| 1| 0.994089|
+----+---------+---------+
| 69| 1| 0.994672|
+----+---------+---------+
| 70| 1| 0.993216|
+----+---------+---------+
| 71| 1| 0.994089|
+----+---------+---------+
| 72| 1| 0.992633|
+----+---------+---------+
| 73| 1| 0.993565|
+----+---------+---------+
| 74| 1| 0.991789|
+----+---------+---------+
| 75| 1| 0.992866|
+----+---------+---------+
| 76| 1| 0.991119|
+----+---------+---------+
| 77| 1| 0.991964|
+----+---------+---------+
| 78| 1| 0.990217|
+----+---------+---------+
| 79| 1| 0.991673|
+----+---------+---------+
| 80| 1| 0.989867|
+----+---------+---------+
| 81| 1| 0.990886|
+----+---------+---------+
| 82| 1| 0.988178|
+----+---------+---------+
| 83| 1| 0.989372|
+----+---------+---------+
| 84| 1| 0.987218|
+----+---------+---------+
| 85| 1| 0.988499|
+----+---------+---------+
| 86| 1| 0.985936|
+----+---------+---------+
| 87| 1| 0.987509|
+----+---------+---------+
| 88| 1| 0.984888|
+----+---------+---------+
| 89| 1| 0.98681|
+----+---------+---------+
| 90| 1| 0.98352|
+----+---------+---------+
| 91| 1| 0.985762|
+----+---------+---------+
| 92| 1| 0.981918|
+----+---------+---------+
| 93| 1| 0.98451|
+----+---------+---------+
| 94| 1| 0.980259|
+----+---------+---------+
| 95| 1| 0.982879|
+----+---------+---------+
| 96| 1| 0.978308|
+----+---------+---------+
| 97| 1| 0.981249|
+----+---------+---------+
| 98| 1| 0.976532|
+----+---------+---------+
| 99| 1| 0.979647|
+----+---------+---------+
| 100| 1| 0.975862|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 8 minutes 41 seconds.
大约2000个样本是真实世界的样本，其他样本是由opencv_createsample工具创建的。我不确切地知道问题是什么。我想增强图像很难辨别，是真的吗？