py-faster-rcnn代码
注意第18~20行是拿一个数(x1)和array(x1[ [0,2,3] ])去比:
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" 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2. box_inside_weights和box-outside_weights:
在smoothl1losslayer.cu里:
计算loss时乘的系数
3. tools/train_net.py:
对于git上默认的配置,这段代码实现:
roidb = get_roidb( voc_2007_trainval )
imdb = get_imdb( voc_2007_trainval )
generate_anchors.py:
注意原始py-faster-rcnn会设置batch_inds为0
proposal_layer.py:
bottom[0].shape=(1,18,7,7),最后得到all_scores.shpae=(1,9,7,7),根据注释,前面9层是背景,后面的9层才是前景,这里取bottom[0]里后面的9层。
proposal_target_layer.py:
bbox_overlaps函数在utils/bbox.pyx里,参考
偶见train.py:所以prototxt里不能随意改最后输出层的名字
涉及知识点:
from IPython import embed;embed() #程序运行到这里会转成ipython环境
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