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fixed typos and non-PEP8 whitespace #746

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fixed typos and non-PEP8 whitespace #746

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5 changes: 2 additions & 3 deletions lib/model/faster_rcnn/faster_rcnn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,7 @@ def forward(self, im_data, im_info, gt_boxes, num_boxes):
# feed base feature map tp RPN to obtain rois
rois, rpn_loss_cls, rpn_loss_bbox = self.RCNN_rpn(base_feat, im_info, gt_boxes, num_boxes)

# if it is training phrase, then use ground trubut bboxes for refining
# if it is training phrase, then use ground truth bboxes for refining
if self.training:
roi_data = self.RCNN_proposal_target(rois, gt_boxes, num_boxes)
rois, rois_label, rois_target, rois_inside_ws, rois_outside_ws = roi_data
Expand Down Expand Up @@ -103,7 +103,6 @@ def forward(self, im_data, im_info, gt_boxes, num_boxes):
# bounding box regression L1 loss
RCNN_loss_bbox = _smooth_l1_loss(bbox_pred, rois_target, rois_inside_ws, rois_outside_ws)


cls_prob = cls_prob.view(batch_size, rois.size(1), -1)
bbox_pred = bbox_pred.view(batch_size, rois.size(1), -1)

Expand All @@ -112,7 +111,7 @@ def forward(self, im_data, im_info, gt_boxes, num_boxes):
def _init_weights(self):
def normal_init(m, mean, stddev, truncated=False):
"""
weight initalizer: truncated normal and random normal.
weight initializer: truncated normal and random normal.
"""
# x is a parameter
if truncated:
Expand Down