Closed sedlaj45 closed 6 years ago
Hi all, I got the following error when I tried to run the demo.sh:
Error in `python': free(): invalid next size (fast)
Has anyone encountered the same problem / What could be the solution? Here's the full output:
/local/data/PoseCNN$ ./experiments/scripts/demo.sh 0 + set -e + export PYTHONUNBUFFERED=True + PYTHONUNBUFFERED=True + export CUDA_VISIBLE_DEVICES=0 + CUDA_VISIBLE_DEVICES=0 + ./tools/demo.py --gpu 0 --network vgg16_convs --model data/demo_models/vgg16_fcn_color_single_frame_2d_pose_add_lov_iter_80000.ckpt --imdb lov_keyframe --cfg experiments/cfgs/lov_color_2d.yml registered Poly3 registered Poly3 registered Linear registered Linear shapenet_scene_train shapenet_scene_val shapenet_single_train shapenet_single_val gmu_scene_train gmu_scene_val rgbd_scene_train rgbd_scene_val rgbd_scene_trainval lov_train lov_val lov_keyframe lov_trainval lov_debug lov_train_few lov_val_few lov_single_002_master_chef_can_train lov_single_003_cracker_box_train lov_single_004_sugar_box_train lov_single_005_tomato_soup_can_train lov_single_006_mustard_bottle_train lov_single_007_tuna_fish_can_train lov_single_008_pudding_box_train lov_single_009_gelatin_box_train lov_single_010_potted_meat_can_train lov_single_011_banana_train lov_single_019_pitcher_base_train lov_single_021_bleach_cleanser_train lov_single_024_bowl_train lov_single_025_mug_train lov_single_035_power_drill_train lov_single_036_wood_block_train lov_single_037_scissors_train lov_single_040_large_marker_train lov_single_051_large_clamp_train lov_single_052_extra_large_clamp_train lov_single_061_foam_brick_train ycb_trainval yumi_train linemod_ape_train linemod_ape_test linemod_ape_train_few linemod_ape_test_few linemod_benchvise_train linemod_benchvise_test linemod_benchvise_train_few linemod_benchvise_test_few linemod_bowl_train linemod_bowl_test linemod_bowl_train_few linemod_bowl_test_few linemod_camera_train linemod_camera_test linemod_camera_train_few linemod_camera_test_few linemod_can_train linemod_can_test linemod_can_train_few linemod_can_test_few linemod_cat_train linemod_cat_test linemod_cat_train_few linemod_cat_test_few linemod_cup_train linemod_cup_test linemod_cup_train_few linemod_cup_test_few linemod_driller_train linemod_driller_test linemod_driller_train_few linemod_driller_test_few linemod_duck_train linemod_duck_test linemod_duck_train_few linemod_duck_test_few linemod_eggbox_train linemod_eggbox_test linemod_eggbox_train_few linemod_eggbox_test_few linemod_glue_train linemod_glue_test linemod_glue_train_few linemod_glue_test_few linemod_holepuncher_train linemod_holepuncher_test linemod_holepuncher_train_few linemod_holepuncher_test_few linemod_iron_train linemod_iron_test linemod_iron_train_few linemod_iron_test_few linemod_lamp_train linemod_lamp_test linemod_lamp_train_few linemod_lamp_test_few linemod_phone_train linemod_phone_test linemod_phone_train_few linemod_phone_test_few Called with args: Namespace(background_name=None, cad_name=None, cfg_file='experiments/cfgs/lov_color_2d.yml', gpu_id=0, imdb_name='lov_keyframe', kfusion=False, model='data/demo_models/vgg16_fcn_color_single_frame_2d_pose_add_lov_iter_80000.ckpt', network_name='vgg16_convs', pose_name=None, pretrained_model=None, rig_name=None, wait=True) Using config: {'ANCHOR_RATIOS': [0.5, 1, 2], 'ANCHOR_SCALES': [8, 16, 32], 'BACKGROUND': '', 'CAD': '', 'EPS': 1e-14, 'EXP_DIR': 'lov', 'FEATURE_STRIDE': 16, 'FLIP_X': False, 'GPU_ID': 0, 'INPUT': 'COLOR', 'NETWORK': 'VGG16', 'PIXEL_MEANS': array([[[102.9801, 115.9465, 122.7717]]]), 'POSE': '', 'RIG': '', 'RNG_SEED': 3, 'ROOT_DIR': '/local/data/PoseCNN', 'TEST': {'BBOX_REG': True, 'GAN': False, 'GRID_SIZE': 256, 'NMS': 0.3, 'POSE_REFINE': False, 'POSE_REG': True, 'RANSAC': False, 'RPN_NMS_THRESH': 0.7, 'RPN_POST_NMS_TOP_N': 300, 'RPN_PRE_NMS_TOP_N': 6000, 'SCALES_BASE': [1.0], 'SEGMENTATION': True, 'SINGLE_FRAME': True, 'SYNTHETIC': False, 'VERTEX_REG_2D': True, 'VERTEX_REG_3D': False, 'VISUALIZE': True}, 'TRAIN': {'ADAPT': False, 'ADAPT_NUM': 400, 'ADAPT_RATIO': 1, 'ADAPT_ROOT': '', 'ADAPT_WEIGHT': 0.1, 'ADD_NOISE': False, '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, 'BG_THRESH_HI': 0.5, 'BG_THRESH_LO': 0.1, 'CHROMATIC': True, 'DISPLAY': 20, 'FG_FRACTION': 0.25, 'FG_THRESH': 0.5, 'GAMMA': 0.1, 'GAN': False, 'GRID_SIZE': 256, 'HAS_RPN': True, 'IMS_PER_BATCH': 2, 'LEARNING_RATE': 0.001, 'MATCHING': False, 'MOMENTUM': 0.9, 'NUM_CLASSES': 22, 'NUM_STEPS': 5, 'NUM_UNITS': 64, 'OPTIMIZER': 'MOMENTUM', 'POSE_REG': True, 'POSE_W': 1.0, '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_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_BASE': [1.0], 'SEGMENTATION': True, 'SINGLE_FRAME': True, 'SNAPSHOT_INFIX': 'lov', 'SNAPSHOT_ITERS': 10000, 'SNAPSHOT_PREFIX': 'vgg16_fcn_color_single_frame_2d_pose_add', 'STEPSIZE': 60000, 'SYNITER': 0, 'SYNNUM': 80000, 'SYNROOT': 'data/LOV/data_syn/', 'SYNTHESIZE': True, 'SYN_HEIGHT': 480, 'SYN_ONLINE': False, 'SYN_RATIO': 10, 'SYN_WIDTH': 640, 'TRAINABLE': True, 'USE_FLIPPED': False, 'USE_GT': False, 'VERTEX_REG_2D': True, 'VERTEX_REG_3D': False, 'VERTEX_W': 1.0, 'VISUALIZE': False, 'WEIGHT_REG': 0.0001}, 'USE_GPU_NMS': True} /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/002_master_chef_can/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/003_cracker_box/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/004_sugar_box/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/005_tomato_soup_can/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/006_mustard_bottle/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/007_tuna_fish_can/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/008_pudding_box/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/009_gelatin_box/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/010_potted_meat_can/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/011_banana/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/019_pitcher_base/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/021_bleach_cleanser/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/024_bowl/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/025_mug/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/035_power_drill/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/036_wood_block/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/037_scissors/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/040_large_marker/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/051_large_clamp/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/052_extra_large_clamp/points.xyz /local/data/PoseCNN/tools/../lib/datasets/../../data/LOV/models/061_foam_brick/points.xyz data/demo_images/000001-color.png data/demo_images/000001-depth.png data/demo_images/000002-color.png data/demo_images/000002-depth.png data/demo_images/000003-color.png data/demo_images/000003-depth.png data/demo_images/000004-color.png data/demo_images/000004-depth.png data/demo_images/000005-color.png data/demo_images/000005-depth.png {'intrinsic_matrix': array([[1.066778e+03, 0.000000e+00, 3.129869e+02], [0.000000e+00, 1.067487e+03, 2.413109e+02], [0.000000e+00, 0.000000e+00, 1.000000e+00]]), 'factor_depth': 10000.0} /gpu:0 /usr/local/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters /local/data/PoseCNN/tools/../lib/backprojecting_layer/backprojecting.so *** Error in `python': free(): invalid next size (fast): 0x0000000003654470 *** ======= Backtrace: ========= /lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7f93684207e5] /lib/x86_64-linux-gnu/libc.so.6(+0x8037a)[0x7f936842937a] /lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7f936842d53c] /usr/local/lib/python2.7/dist-packages/tensorflow/libtensorflow_framework.so(+0x351d1f)[0x7f92838c9d1f] /lib64/ld-linux-x86-64.so.2(+0x106ba)[0x7f93689a06ba] /lib64/ld-linux-x86-64.so.2(+0x107cb)[0x7f93689a07cb] /lib64/ld-linux-x86-64.so.2(+0x158e2)[0x7f93689a58e2] /lib64/ld-linux-x86-64.so.2(+0x10564)[0x7f93689a0564] /lib64/ld-linux-x86-64.so.2(+0x14da9)[0x7f93689a4da9] /lib/x86_64-linux-gnu/libdl.so.2(+0xf09)[0x7f93681a5f09] /lib64/ld-linux-x86-64.so.2(+0x10564)[0x7f93689a0564] /lib/x86_64-linux-gnu/libdl.so.2(+0x1571)[0x7f93681a6571] /lib/x86_64-linux-gnu/libdl.so.2(dlopen+0x31)[0x7f93681a5fa1] /usr/local/lib/python2.7/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so(_ZN10tensorflow8internal11LoadLibraryEPKcPPv+0x1a)[0x7f92b8cd638a] /usr/local/lib/python2.7/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so(+0x3731617)[0x7f92b8cd5617] /usr/local/lib/python2.7/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so(_ZN10tensorflow11LoadLibraryEPKcPPvPPKvPm+0x603)[0x7f92b8ba1f33] /usr/local/lib/python2.7/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so(TF_LoadLibrary+0x37)[0x7f92b6875147] /usr/local/lib/python2.7/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.so(+0x10f9eda)[0x7f92b669deda] python(PyEval_EvalFrameEx+0x5ca)[0x4bc3fa] python(PyEval_EvalCodeEx+0x306)[0x4b9ab6] python(PyEval_EvalFrameEx+0x603f)[0x4c1e6f] python(PyEval_EvalCodeEx+0x306)[0x4b9ab6] python(PyEval_EvalCode+0x16)[0x4b97a6] python(PyImport_ExecCodeModuleEx+0xbf)[0x4b96df] python[0x4b2b06] python[0x4a4ae1] python(PyImport_ImportModuleLevel+0x8d3)[0x4a4513] python[0x4a59e4] python(PyObject_Call+0x3e)[0x4a577e] python(PyEval_CallObjectWithKeywords+0x30)[0x4c5e10] python(PyEval_EvalFrameEx+0x28a7)[0x4be6d7] python(PyEval_EvalCodeEx+0x306)[0x4b9ab6] python(PyEval_EvalCode+0x16)[0x4b97a6] python(PyImport_ExecCodeModuleEx+0xbf)[0x4b96df] python[0x4b2b06] python[0x4a4ae1] python(PyImport_ImportModuleLevel+0x8d3)[0x4a4513] python[0x4a59e4] python(PyObject_Call+0x3e)[0x4a577e] python(PyEval_CallObjectWithKeywords+0x30)[0x4c5e10] python(PyEval_EvalFrameEx+0x28a7)[0x4be6d7] python(PyEval_EvalCodeEx+0x306)[0x4b9ab6] python(PyEval_EvalCode+0x16)[0x4b97a6] python(PyImport_ExecCodeModuleEx+0xbf)[0x4b96df] python[0x4b2b06] python[0x4a4ae1] python(PyImport_ImportModuleLevel+0x689)[0x4a42c9] python[0x4a59e4] python(PyObject_Call+0x3e)[0x4a577e] python(PyEval_CallObjectWithKeywords+0x30)[0x4c5e10] python(PyEval_EvalFrameEx+0x28a7)[0x4be6d7] python(PyEval_EvalCodeEx+0x306)[0x4b9ab6] python(PyEval_EvalCode+0x16)[0x4b97a6] python(PyImport_ExecCodeModuleEx+0xbf)[0x4b96df] python[0x4b2b06] python[0x4b402c] python[0x4a4ae1] python(PyImport_ImportModuleLevel+0x689)[0x4a42c9] python[0x4a59e4] python(PyObject_Call+0x3e)[0x4a577e] python(PyEval_CallObjectWithKeywords+0x30)[0x4c5e10] python(PyEval_EvalFrameEx+0x28a7)[0x4be6d7] python(PyEval_EvalCodeEx+0x306)[0x4b9ab6] ======= Memory map: ======== 00400000-006de000 r-xp 00000000 fc:00 20841120 /usr/bin/python2.7 008dd000-008de000 r--p 002dd000 fc:00 20841120 /usr/bin/python2.7 008de000-00955000 rw-p 002de000 fc:00 20841120 /usr/bin/python2.7 00955000-00978000 rw-p 00000000 00:00 0 0146b000-0427c000 rw-p 00000000 00:00 0 [heap] 7f9200000000-7f9200021000 rw-p 00000000 00:00 0 7f9200021000-7f9204000000 ---p 00000000 00:00 0 7f92073b8000-7f92073bc000 r-xp 00000000 fc:00 22034015 /usr/local/lib/python2.7/dist-packages/_scandir.so 7f92073bc000-7f92075bb000 ---p 00004000 fc:00 22034015 /usr/local/lib/python2.7/dist-packages/_scandir.so 7f92075bb000-7f92075bc000 r--p 00003000 fc:00 22034015 /usr/local/lib/python2.7/dist-packages/_scandir.so 7f92075bc000-7f92075bd000 rw-p 00004000 fc:00 22034015 /usr/local/lib/python2.7/dist-packages/_scandir.so 7f92075bd000-7f92075e1000 r-xp 00000000 fc:00 2884137 /usr/local/lib/python2.7/dist-packages/PIL/.libs/liblzma-f444c404.so.5.2.2 7f92075e1000-7f92077e1000 ---p 00024000 fc:00 2884137 /usr/local/lib/python2.7/dist-packages/PIL/.libs/liblzma-f444c404.so.5.2.2 7f92077e1000-7f92077e2000 rw-p 00024000 fc:00 2884137 /usr/local/lib/python2.7/dist-packages/PIL/.libs/liblzma-f444c404.so.5.2.2 7f92077e2000-7f92077e3000 rw-p 000d3000 fc:00 2884137 /usr/local/lib/python2.7/dist-packages/PIL/.libs/liblzma-f444c404.so.5.2.2 7f92077e3000-7f9207854000 r-xp 00000000 fc:00 2884139 /usr/local/lib/python2.7/dist-packages/PIL/.libs/libtiff-fa49d64f.so.5.2.6 7f9207854000-7f9207a54000 ---p 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/usr/local/lib/python2.7/dist-packages/PIL/.libs/libjpeg-bcb94a84.so.9.2.0 7f9207ce5000-7f9207ee5000 ---p 0003a000 fc:00 2884142 /usr/local/lib/python2.7/dist-packages/PIL/.libs/libjpeg-bcb94a84.so.9.2.0 7f9207ee5000-7f9207ee6000 rw-p 0003a000 fc:00 2884142 /usr/local/lib/python2.7/dist-packages/PIL/.libs/libjpeg-bcb94a84.so.9.2.0 7f9207ee6000-7f9207ee8000 rw-p 00146000 fc:00 2884142 /usr/local/lib/python2.7/dist-packages/PIL/.libs/libjpeg-bcb94a84.so.9.2.0 7f9207ee8000-7f9207f61000 r-xp 00000000 fc:00 2884018 /usr/local/lib/python2.7/dist-packages/PIL/_imaging.so 7f9207f61000-7f9208160000 ---p 00079000 fc:00 2884018 /usr/local/lib/python2.7/dist-packages/PIL/_imaging.so 7f9208160000-7f9208167000 rw-p 00078000 fc:00 2884018 /usr/local/lib/python2.7/dist-packages/PIL/_imaging.so 7f9208167000-7f9208176000 rw-p 001ff000 fc:00 2884018 /usr/local/lib/python2.7/dist-packages/PIL/_imaging.so 7f9208176000-7f92081c4000 r-xp 00000000 fc:00 22024484 /usr/local/lib/python2.7/dist-packages/scipy/interpolate/interpnd.so 7f92081c4000-7f92083c3000 ---p 0004e000 fc:00 22024484 /usr/local/lib/python2.7/dist-packages/scipy/interpolate/interpnd.so 7f92083c3000-7f92083c8000 rw-p 0004d000 fc:00 22024484 /usr/local/lib/python2.7/dist-packages/scipy/interpolate/interpnd.so 7f92083c8000-7f92083c9000 rw-p 00000000 00:00 0 7f92083c9000-7f9208419000 r-xp 00000000 fc:00 22024506 /usr/local/lib/python2.7/dist-packages/scipy/interpolate/_ppoly.so 7f9208419000-7f9208618000 ---p 00050000 fc:00 22024506 /usr/local/lib/python2.7/dist-packages/scipy/interpolate/_ppoly.so 7f9208618000-7f920861e000 rw-p 0004f000 fc:00 22024506 /usr/local/lib/python2.7/dist-packages/scipy/interpolate/_ppoly.so 7f920861e000-7f920861f000 rw-p 00000000 00:00 0 7f920861f000-7f9208623000 rw-p 00181000 fc:00 22024506 /usr/local/lib/python2.7/dist-packages/scipy/interpolate/_ppoly.so 7f9208623000-7f920865f000 r-xp 00000000 fc:00 22024514 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r-xp 00000000 00:00 0 [vdso] ffffffffff600000-ffffffffff601000 r-xp 00000000 00:00 0 [vsyscall] ./experiments/scripts/demo.sh: line 13: 31681 Aborted (core dumped) ./tools/demo.py --gpu 0 --network vgg16_convs --model data/demo_models/vgg16_fcn_color_single_frame_2d_pose_add_lov_iter_80000.ckpt --imdb lov_keyframe --cfg experiments/cfgs/lov_color_2d.yml
@sedlaj45 Hi, have u solved this problem? I encountered the same error as you.
Hi all, I got the following error when I tried to run the demo.sh:
Has anyone encountered the same problem / What could be the solution? Here's the full output: