remove unused ipdb dependencies.

Signed-off-by: wxywb <xy.wang@zilliz.com>

detector/faster_rcnn.py

@@ -1,5 +1,4 @@
 import pickle
-import ipdb 
 import torch
 import numpy as np
 import cv2
@@ -464,15 +463,3 @@ def process_img(img):
     im = cv2.resize(img, None, None, fx=im_scale, fy=im_scale, interpolation=cv2.INTER_LINEAR)
     return im, np.array([im.shape[0], im.shape[1], im_scale])
 
-#img = cv2.imread('img2.jpg')
-##print(img)
-#ipdb.set_trace()
-#shape = process_img(img)
-#            
-#net = Net()
-#net.load_weights_from_pkl(data2)
-#net.eval()
-#with torch.no_grad():
-#    output = net(img)
-#ipdb.set_trace()
-#print(residual)

detector/rpn.py

@@ -118,19 +118,3 @@ def _filter_boxes(boxes, min_size):
     keep = np.where((ws >= min_size) & (hs >= min_size))[0]
     return keep
 
-#if __name__ == '__main__':
-#    rpn_cls_prob_reshape = data_kv['rpn_cls_prob_reshape']
-#    rpn_bbox_pred = data_kv['rpn_bbox_pred']
-#
-#    rpn = RegionProposalNetwork(pre_nms_topN = 6000, post_nms_topN = 300, nms_thresh = 0.7, min_size = 16, anchor_scales = (4, 8, 16, 32), feat_stride=16)
-#    im_size = np.array([600.       , 600.       ,   2.6785715])
-#    ipdb.set_trace()
-#    rois = rpn.forward(rpn_cls_prob_reshape, rpn_bbox_pred, im_size)
-#
-#    outputs = data_kv['res4b22']
-#    feats = torchvision.ops.roi_pool(outputs,rois, output_size=[14,14], spatial_scale=0.0625)
-#
-#    print(rpn_cls_prob_reshape.shape, rpn_bbox_pred.shape)
-#    print(rpn)
-#    print('main')
-#