I train my own dataset and got KeyError: u'\u3001'

[pasonx]

recently I made my PASCAL format dataset and configure the following file for 22 classes(I add one my own class) py-faster-rcnn/models/pascal_voc/VGG16/faster_rcnn_alt_opt/stage1_fast_rcnn_train.pt py-faster-rcnn/models/pascal_voc/VGG16/faster_rcnn_alt_opt/stage1_rpn_train.pt py-faster-rcnn/models/pascal_voc/VGG16/faster_rcnn_alt_opt/stage2_fast_rcnn_train.pt py-faster-rcnn/models/pascal_voc/VGG16/faster_rcnn_alt_opt/stage2_rpn_train.pt py-faster-rcnn/models/pascal_voc/VGG16/faster_rcnn_alt_opt/faster_rcnn_test.pt py-faster-rcnn/lib/datasets/pascal_voc.py

and I execute the command： ./experiments/scripts/faster_rcnn_end2end.sh 0 VGG16 pascal_voc

the log are as following：

• set -e
• export PYTHONUNBUFFERED=True
• PYTHONUNBUFFERED=True
• GPU_ID=0
• NET=VGG16
• NET_lc=vgg16
• DATASET=pascal_voc
• array=($@)
• len=3
• EXTRA_ARGS=
• EXTRA_ARGS_SLUG=
• case $DATASET in
• TRAIN_IMDB=voc_2007_trainval
• TEST_IMDB=voc_2007_test
• PT_DIR=pascal_voc
• ITERS=70000 ++ date +%Y-%m-%d_%H-%M-%S
• LOG=experiments/logs/faster_rcnn_end2endVGG16.txt.2017-09-02_22-28-09
• exec ++ tee -a experiments/logs/faster_rcnn_end2endVGG16.txt.2017-09-02_22-28-09
• echo Logging output to experiments/logs/faster_rcnn_end2endVGG16.txt.2017-09-02_22-28-09 Logging output to experiments/logs/faster_rcnn_end2endVGG16.txt.2017-09-02_22-28-09
• ./tools/train_net.py --gpu 0 --solver models/pascal_voc/VGG16/faster_rcnn_end2end/solver.prototxt --weights data/imagenet_models/VGG16.v2.caffemodel --imdb voc_2007_trainval --iters 70000 --cfg experiments/cfgs/faster_rcnn_end2end.yml Called with args: Namespace(cfg_file='experiments/cfgs/faster_rcnn_end2end.yml', gpu_id=0, imdb_name='voc_2007_trainval', max_iters=70000, pretrained_model='data/imagenet_models/VGG16.v2.caffemodel', randomize=False, set_cfgs=None, solver='models/pascal_voc/VGG16/faster_rcnn_end2end/solver.prototxt') Using config: {'DATA_DIR': '/home/camerist416/lab_pason/py-faster-rcnn/data', 'DEDUP_BOXES': 0.0625, 'EPS': 1e-14, 'EXP_DIR': 'faster_rcnn_end2end', 'GPU_ID': 0, 'MATLAB': 'matlab', 'MODELS_DIR': '/home/camerist416/lab_pason/py-faster-rcnn/models/pascal_voc', 'PIXEL_MEANS': array([[[ 102.9801, 115.9465, 122.7717]]]), 'RNG_SEED': 3, 'ROOT_DIR': '/home/camerist416/lab_pason/py-faster-rcnn', 'TEST': {'BBOX_REG': True, 'HAS_RPN': True, 'MAX_SIZE': 1000, 'NMS': 0.3, 'PROPOSAL_METHOD': 'selective_search', 'RPN_MIN_SIZE': 16, 'RPN_NMS_THRESH': 0.7, 'RPN_POST_NMS_TOP_N': 300, 'RPN_PRE_NMS_TOP_N': 6000, 'SCALES': [600], 'SVM': False}, 'TRAIN': {'ASPECT_GROUPING': True, 'BATCH_SIZE': 128, 'BBOX_INSIDE_WEIGHTS': [1.0, 1.0, 1.0, 1.0], 'BBOX_NORMALIZE_MEANS': [0.0, 0.0, 0.0, 0.0], 'BBOX_NORMALIZE_STDS': [0.1, 0.1, 0.2, 0.2], 'BBOX_NORMALIZE_TARGETS': True, 'BBOX_NORMALIZE_TARGETS_PRECOMPUTED': True, 'BBOX_REG': True, 'BBOX_THRESH': 0.5, 'BG_THRESH_HI': 0.5, 'BG_THRESH_LO': 0.0, 'FG_FRACTION': 0.25, 'FG_THRESH': 0.5, 'HAS_RPN': True, 'IMS_PER_BATCH': 1, 'MAX_SIZE': 1000, 'PROPOSAL_METHOD': 'gt', 'RPN_BATCHSIZE': 256, 'RPN_BBOX_INSIDE_WEIGHTS': [1.0, 1.0, 1.0, 1.0], 'RPN_CLOBBER_POSITIVES': False, 'RPN_FG_FRACTION': 0.5, 'RPN_MIN_SIZE': 16, 'RPN_NEGATIVE_OVERLAP': 0.3, 'RPN_NMS_THRESH': 0.7, 'RPN_POSITIVE_OVERLAP': 0.7, 'RPN_POSITIVE_WEIGHT': -1.0, 'RPN_POST_NMS_TOP_N': 2000, 'RPN_PRE_NMS_TOP_N': 12000, 'SCALES': [600], 'SNAPSHOT_INFIX': '', 'SNAPSHOT_ITERS': 10000, 'USE_FLIPPED': True, 'USE_PREFETCH': False}, 'USE_GPU_NMS': True} Loaded dataset voc_2007_trainval for training Set proposal method: gt Appending horizontally-flipped training examples... Traceback (most recent call last): File "./tools/train_net.py", line 104, in imdb, roidb = combined_roidb(args.imdb_name) File "./tools/train_net.py", line 69, in combined_roidb roidbs = [get_roidb(s) for s in imdb_names.split('+')] File "./tools/train_net.py", line 66, in get_roidb roidb = get_training_roidb(imdb) File "/home/camerist416/lab_pason/py-faster-rcnn/tools/../lib/fast_rcnn/train.py", line 119, in get_training_roidb imdb.append_flipped_images() File "/home/camerist416/lab_pason/py-faster-rcnn/tools/../lib/datasets/imdb.py", line 106, in append_flipped_images boxes = self.roidb[i]['boxes'].copy() File "/home/camerist416/lab_pason/py-faster-rcnn/tools/../lib/datasets/imdb.py", line 67, in roidb self._roidb = self.roidb_handler() File "/home/camerist416/lab_pason/py-faster-rcnn/tools/../lib/datasets/pascal_voc.py", line 110, in gt_roidb for index in self.image_index] File "/home/camerist416/lab_pason/py-faster-rcnn/tools/../lib/datasets/pascal_voc.py", line 222, in _load_pascal_annotation cls = self._class_to_ind[obj.find('name').text.lower().strip()] KeyError: u'\u3001' So Can anyone give some suggestions on solving this error？ thanks so much

[satya2550]

It looks like some of your annotations file is having wrong entries, mostly class names may be wrong.

You can check annotation file name by adding prints in below code, file pascal_voc.py def _load_pascal_annotation(self, index): """ Load image and bounding boxes info from XML file in the PASCAL VOC format. """ filename = os.path.join(self._data_path, 'Annotations', index + '.xml') //// Add print statement here