test trained model RFBNet300

[JingpengSun]

Hi, thank you for your great work.

When I try to evaluate the trained model RFBNet300_VOC_80_7, which is one of your given models.
I got the following error:

im_detect: 1/10 0.022s 0.001s
Evaluating detections
Writing aeroplane VOC results file
Writing bicycle VOC results file
Writing bird VOC results file
Writing boat VOC results file
Writing bottle VOC results file
Writing bus VOC results file
Writing car VOC results file
Writing cat VOC results file
Writing chair VOC results file
Writing cow VOC results file
Writing diningtable VOC results file
Writing dog VOC results file
Writing horse VOC results file
Writing motorbike VOC results file
Writing person VOC results file
Writing pottedplant VOC results file
Writing sheep VOC results file
Writing sofa VOC results file
Writing train VOC results file
Writing tvmonitor VOC results file
VOC07 metric? Yes
Traceback (most recent call last):
File "/home/johnsnore/Research/RFBNet/test_RFB.py", line 190, in
top_k, thresh=0.01)
File "/home/johnsnore/Research/RFBNet/test_RFB.py", line 143, in test_net
testset.evaluate_detections(all_boxes, save_folder)
File "/home/johnsnore/Research/RFBNet/data/voc0712.py", line 253, in evaluate_detections
self._do_python_eval(output_dir)
File "/home/johnsnore/Research/RFBNet/data/voc0712.py", line 310, in _do_python_eval
use_07_metric=use_07_metric)
File "/home/johnsnore/Research/RFBNet/data/voc_eval.py", line 152, in voc_eval
BB = BB[sorted_ind, :]
IndexError: too many indices for array

And I found BB=[]
Is that something wrong?
Should I do something else before run test_RFB.py？

[JingpengSun]

I figure it out.
Thank you~
I close this.

[ZhiqiJiang]

@JingpengSun I only get a mAP of 0.8056 not 80.7% posted in github with RFBNet300_VOC_80_7.pth. And you?

Detail is showed as below:

[nuist-xinyu]

Epoch:1 || epochiter: 330/544|| Totel iter 330 || L: 2.8262 C: 3.1523||Batch time: 0.3125 sec. ||LR: 0.00048617
Epoch:1 || epochiter: 340/544|| Totel iter 340 || L: 3.5080 C: 2.8519||Batch time: 0.3134 sec. ||LR: 0.00050088
Traceback (most recent call last):
File "train_RFB.py", line 261, in
train()
File "train_RFB.py", line 212, in train
images, targets = next(batch_iterator)
File "/home/xinyu/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 322, in next
return self._process_next_batch(batch)
File "/home/xinyu/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 357, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
KeyError: 'Traceback (most recent call last):\n File "/home/xinyu/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 106, in _worker_loop\n samples = collate_fn([dataset[i] for i in batch_indices])\n File "/home/xinyu/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 106, in \n samples = collate_fn([dataset[i] for i in batch_indices])\n File "/home/xinyu/RFBNet-master/data/voc0712.py", line 179, in getitem\n target = self.target_transform(target)\n File "/home/xinyu/RFBNet-master/data/voc0712.py", li

hi，do you know how to solve this problem？

[jiangjun001]

I figure it out.
Thank you~
I close this.

I meet the same question with you,how to do with it?thank you

[Damon2019]

@JingpengSun i also meet the same question with you,how to do with it? thanks