assert len(roidb) > 0

[chakpongchung]

I am trying to train on my own dataset. I am following your "Training on KITTI detection dataset

" to convert kikki to pascal VOC and then run the training. What could go wrong here? It seems like the code cant load the roidb from

roidb = get_training_roidb(imdb)

This is what my data looks like:

microway:data$ pwd
/data/home/microway/experiments/TFFRCNN/data
microway:KITTI$ tree
.
├── testing
│   ├── image_2
│   │   ├── 0000000000.png
│   │   ├── 0000000001.png
│   │   ├── 0000000002.png
│   │   ├── 0000000003.png
│   │   ├── 0000000004.png
│   │   ├── 0000000005.png
│   │   ├── 0000000006.png
│   │   ├── 0000000007.png
│   │   ├── 0000000008.png
│   │   └── 0000000009.png
│   └── label_2
│   ├── 0000000000.txt
│   ├── 0000000001.txt
│   ├── 0000000002.txt
│   ├── 0000000003.txt
│   ├── 0000000004.txt
│   ├── 0000000005.txt
│   ├── 0000000006.txt
│   ├── 0000000007.txt
│   ├── 0000000008.txt
│   └── 0000000009.txt
└── training
├── image_2
│   ├── 0000000000.png
│   ├── 0000000001.png
│   ├── 0000000002.png
│   ├── 0000000003.png
│   ├── 0000000004.png
│   ├── 0000000005.png
│   ├── 0000000006.png
│   ├── 0000000007.png
│   ├── 0000000008.png
│   └── 0000000009.png
└── label_2
├── 0000000000.txt
├── 0000000001.txt
├── 0000000002.txt
├── 0000000003.txt
├── 0000000004.txt
├── 0000000005.txt
├── 0000000006.txt
├── 0000000007.txt
├── 0000000008.txt
└── 0000000009.txt

python /$TFFRCNN/experiments/scripts/kitti2pascalvoc.py --kitti $TFFRCNN/data/KITTI --out $TFFRCNN/data/KITTIVOC

microway:data$ tree KITTIVOC/
KITTIVOC/
├── Annotations
│   ├── 0000000000.xml
│   ├── 0000000001.xml
│   ├── 0000000002.xml
│   ├── 0000000003.xml
│   ├── 0000000004.xml
│   ├── 0000000005.xml
│   ├── 0000000006.xml
│   ├── 0000000007.xml
│   ├── 0000000008.xml
│   └── 0000000009.xml
├── ImageSets
│   ├── Layout
│   ├── Main
│   │   ├── car_train.txt
│   │   ├── car_trainval.txt
│   │   ├── car_val.txt
│   │   ├── cyclist_train.txt
│   │   ├── cyclist_trainval.txt
│   │   ├── cyclist_val.txt
│   │   ├── dontcare_train.txt
│   │   ├── dontcare_trainval.txt
│   │   ├── dontcare_val.txt
│   │   ├── pedestrian_train.txt
│   │   ├── pedestrian_trainval.txt
│   │   ├── pedestrian_val.txt
│   │   ├── train.txt
│   │   ├── trainval.txt
│   │   └── val.txt
│   └── Segmentation
├── JPEGImages
│   ├── 0000000000.jpg
│   ├── 0000000001.jpg
│   ├── 0000000002.jpg
│   ├── 0000000003.jpg
│   ├── 0000000004.jpg
│   ├── 0000000005.jpg
│   ├── 0000000006.jpg
│   ├── 0000000007.jpg
│   ├── 0000000008.jpg
│   └── 0000000009.jpg
├── SegmentationClass
└── SegmentationObject

python ./faster_rcnn/train_net.py
--gpu 0
--weights ./data/pretrain_model/VGG_imagenet.npy
--imdb kittivoc_train
--iters 160000
--cfg ./experiments/cfgs/faster_rcnn_kitti.yml
--network VGGnet_train

Traceback (most recent call last):
File "./faster_rcnn/train_net.py", line 110, in
restore=bool(int(args.restore)))
File "./faster_rcnn/../lib/fast_rcnn/train.py", line 398, in train_net
sw = SolverWrapper(sess, network, imdb, roidb, output_dir, logdir= log_dir, pretrained_model=pretrained_model)
File "./faster_rcnn/../lib/fast_rcnn/train.py", line 44, in init
self.bbox_means, self.bbox_stds = rdl_roidb.add_bbox_regression_targets(roidb)
File "./faster_rcnn/../lib/roi_data_layer/roidb.py", line 57, in add_bbox_regression_targets
assert len(roidb) > 0
AssertionError