self._class_to_ind = dict(zip(self.classes, xrange(self.num_classes))) self._image_ext = '.jpg' self._image_index = self._load_image_set_index()#这个函数是重点之一,其实不用改,但需要知道index的意思:就是图片的文件名 # Default to roidb handler self._roidb_handler = self.selective_se...
input-data层的num_class数值由21改为类别数目; roi-data层的num_class数值由21改为类别数目; cls_score层的num_output数值由21改为类别数目; bbox_pred层的num_output数值由84改为类别数目*4; test.prototxt文件(c++dll调用的.prototxt也要改) cls_score层的num_output数值由21改为类别数目; bbox_pred层的...
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defget_lrg(b):ifnotb:raiseException() b =sorted( b, key=lambdax: np.product(x[0][-2:]-x[0][:2]), reverse=True)returnb[0] 字典推导式 [1:27:04] trn_lrg_anno = {a: get_lrg(b)fora,bintrn_anno.items()} 现在我们有一个从图像 ID 到单个边界框的字典 —— 该图像的最大边界...
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Is there a way to make the transformers import executed only when parsing an HF vocab? The goal is to avoid the dependency on this package in cases where we don't need it. I move transformers import code into Class__init__method. ...
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