faster_rcnn.py 文件源码

def forward(self, im_data, im_info, gt_boxes=None, gt_ishard=None, dontcare_areas=None):
        features, rois = self.rpn(im_data, im_info, gt_boxes, gt_ishard, dontcare_areas)

        if self.training:
            roi_data = self.proposal_target_layer(rois, gt_boxes, gt_ishard, dontcare_areas, self.n_classes)
            rois = roi_data[0]

        # roi pool
        pooled_features = self.roi_pool(features, rois)
        x = pooled_features.view(pooled_features.size()[0], -1)
        x = self.fc6(x)
        x = F.dropout(x, training=self.training)
        x = self.fc7(x)
        x = F.dropout(x, training=self.training)

        cls_score = self.score_fc(x)
        cls_prob = F.softmax(cls_score)
        bbox_pred = self.bbox_fc(x)

        if self.training:
            self.cross_entropy, self.loss_box = self.build_loss(cls_score, bbox_pred, roi_data)

        return cls_prob, bbox_pred, rois