Faster RCNN訓練出現問題:Selective search data not found at: /home/py-faster-rcnn/data/selective_search_dat
阿新 • • 發佈:2019-01-06
~/py-faster-rcnn$ ./experiments/scripts/fast_rcnn.sh 0 VGG16 pascal_voc + set -e + export PYTHONUNBUFFERED=True + PYTHONUNBUFFERED=True + GPU_ID=0 + NET=VGG16 + NET_lc=vgg16 + DATASET=pascal_voc + array=([email protected]) + 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=40000 ++ date +%Y-%m-%d_%H-%M-%S + LOG=experiments/logs/fast_rcnn_VGG16_.txt.2017-10-30_12-53-40 + exec ++ tee -a experiments/logs/fast_rcnn_VGG16_.txt.2017-10-30_12-53-40 + echo Logging output to experiments/logs/fast_rcnn_VGG16_.txt.2017-10-30_12-53-40 Logging output to experiments/logs/fast_rcnn_VGG16_.txt.2017-10-30_12-53-40 + ./tools/train_net.py --gpu 0 --solver models/pascal_voc/VGG16/fast_rcnn/solver.prototxt --weights data/imagenet_models/VGG16.v2.caffemodel --imdb voc_2007_trainval --iters 40000 Called with args: Namespace(cfg_file=None, gpu_id=0, imdb_name='voc_2007_trainval', max_iters=40000, pretrained_model='data/imagenet_models/VGG16.v2.caffemodel', randomize=False, set_cfgs=None, solver='models/pascal_voc/VGG16/fast_rcnn/solver.prototxt') Using config: {'DATA_DIR': '/home/py-faster-rcnn/data', 'DEDUP_BOXES': 0.0625, 'EPS': 1e-14, 'EXP_DIR': 'default', 'GPU_ID': 0, 'MATLAB': 'matlab', 'MODELS_DIR': '/home/py-faster-rcnn/models/pascal_voc', 'PIXEL_MEANS': array([[[ 102.9801, 115.9465, 122.7717]]]), 'RNG_SEED': 3, 'ROOT_DIR': '/home/icalc/py-faster-rcnn', 'TEST': {'BBOX_REG': True, 'HAS_RPN': False, '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': False, 'BBOX_REG': True, 'BBOX_THRESH': 0.5, 'BG_THRESH_HI': 0.5, 'BG_THRESH_LO': 0.1, 'FG_FRACTION': 0.25, 'FG_THRESH': 0.5, 'HAS_RPN': False, 'IMS_PER_BATCH': 2, 'MAX_SIZE': 1000, 'PROPOSAL_METHOD': 'selective_search', '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: selective_search Appending horizontally-flipped training examples... voc_2007_trainval gt roidb loaded from /home/py-faster-rcnn/data/cache/voc_2007_trainval_gt_roidb.pkl Traceback (most recent call last): File "./tools/train_net.py", line 104, in <module> 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/py-faster-rcnn/tools/../lib/fast_rcnn/train.py", line 118, in get_training_roidb imdb.append_flipped_images() File "/home/py-faster-rcnn/tools/../lib/datasets/imdb.py", line 108, in append_flipped_images boxes = self.roidb[i]['boxes'].copy() File "/home/py-faster-rcnn/tools/../lib/datasets/imdb.py", line 67, in roidb self._roidb = self.roidb_handler() File "/home/py-faster-rcnn/tools/../lib/datasets/pascal_voc.py", line 128, in selective_search_roidb ss_roidb = self._load_selective_search_roidb(gt_roidb) File "/home/py-faster-rcnn/tools/../lib/datasets/pascal_voc.py", line 162, in _load_selective_search_roidb 'Selective search data not found at: {}'.format(filename) AssertionError: Selective search data not found at: /home/py-faster-rcnn/data/selective_search_data/voc_2007_trainval.mat