Assertion error from frame_handler.py

[RevathiTS]

Hi, I have git cloned (git clone --recursive https://github.com/ziliHarvey/smart-annotation-pointrcnn.git ) and build the files in Ubuntu 18 with python 3.6, Cuda 10.1 and pytorch==1.2.0 torchvision==0.4.0 . I have got the following assertion error from frame_handler.py upon opening the tool in http://0.0.0.0:7772/ . Can you check on this?

(smartannotation) teroot@Nuvo-5000-Perception:~/Uhnder_OGM/Annotator/smart-annotation-pointrcnn/app$ python app.py object_types_reverse {0: 'vehicle'}

• Serving Flask app "app" (lazy loading)
• Environment: development
• Debug mode: on
• Running on http://0.0.0.0:7772/ (Press CTRL+C to quit)
• Restarting with stat object_types_reverse {0: 'vehicle'}
• Debugger is active!

• Debugger PIN: 863-389-179 127.0.0.1 - - [28/Jan/2021 14:34:17] "GET / HTTP/1.1" 200 - 127.0.0.1 - - [28/Jan/2021 14:34:18] "POST /loadFrameNames HTTP/1.1" 200 - 127.0.0.1 - - [28/Jan/2021 14:34:18] "GET /favicon.ico HTTP/1.1" 200 -

  ============================================= Processing data begines...................... /home/teroot/Uhnder_OGM/Annotator/smart-annotation-pointrcnn/app/PointCNN/tools/../lib/config.py:187: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. yaml_cfg = edict(yaml.load(f)) 2021-01-28 14:34:19,417 INFO **Start logging** 2021-01-28 14:34:19,417 INFO cfg_file cfgs/argo_config_sampling_trainfull.yaml 2021-01-28 14:34:19,418 INFO eval_mode rcnn 2021-01-28 14:34:19,418 INFO test True 2021-01-28 14:34:19,418 INFO rpn_ckpt checkpoint_epoch_50.pth 2021-01-28 14:34:19,418 INFO rcnn_ckpt checkpoint_epoch_40.pth 2021-01-28 14:34:19,418 INFO ckpt_dir None 2021-01-28 14:34:19,418 INFO batch_size 1 2021-01-28 14:34:19,418 INFO save_result True 2021-01-28 14:34:19,418 INFO single_file 000 2021-01-28 14:34:19,418 INFO cfg.TAG: argo_config_sampling_trainfull 2021-01-28 14:34:19,418 INFO cfg.CLASSES: VEHICLE 2021-01-28 14:34:19,418 INFO cfg.INCLUDE_SIMILAR_TYPE: False 2021-01-28 14:34:19,418 INFO cfg.AUG_DATA: False 2021-01-28 14:34:19,418 INFO cfg.AUG_METHOD_LIST: ['rotation', 'scaling', 'flip'] 2021-01-28 14:34:19,418 INFO cfg.AUG_METHOD_PROB: [1.0, 1.0, 0.5] 2021-01-28 14:34:19,418 INFO cfg.AUG_ROT_RANGE: 18 2021-01-28 14:34:19,418 INFO cfg.GT_AUG_ENABLED: False 2021-01-28 14:34:19,418 INFO cfg.GT_EXTRA_NUM: 15 2021-01-28 14:34:19,418 INFO cfg.GT_AUG_RAND_NUM: False 2021-01-28 14:34:19,418 INFO cfg.GT_AUG_APPLY_PROB: 1.0 2021-01-28 14:34:19,418 INFO cfg.GT_AUG_HARD_RATIO: 0.6 2021-01-28 14:34:19,418 INFO cfg.PC_REDUCE_BY_RANGE: True 2021-01-28 14:34:19,419 INFO cfg.PC_AREA_SCOPE: [[-40. 40.] [ -3. 3.] [-60. 60.]] 2021-01-28 14:34:19,419 INFO cfg.CLS_MEAN_SIZE: [[1.5256319 1.6285675 3.8831165]] 2021-01-28 14:34:19,419 INFO
  cfg.RPN = edict() 2021-01-28 14:34:19,419 INFO cfg.RPN.ENABLED: True 2021-01-28 14:34:19,419 INFO cfg.RPN.FIXED: True 2021-01-28 14:34:19,419 INFO cfg.RPN.USE_INTENSITY: False 2021-01-28 14:34:19,419 INFO cfg.RPN.LOC_XZ_FINE: True 2021-01-28 14:34:19,419 INFO cfg.RPN.LOC_SCOPE: 3.0 2021-01-28 14:34:19,419 INFO cfg.RPN.LOC_BIN_SIZE: 0.5 2021-01-28 14:34:19,419 INFO cfg.RPN.NUM_HEAD_BIN: 12 2021-01-28 14:34:19,419 INFO cfg.RPN.BACKBONE: pointnet2_msg 2021-01-28 14:34:19,419 INFO cfg.RPN.USE_BN: True 2021-01-28 14:34:19,419 INFO cfg.RPN.NUM_POINTS: 65536 2021-01-28 14:34:19,419 INFO
  cfg.RPN.SA_CONFIG = edict() 2021-01-28 14:34:19,419 INFO cfg.RPN.SA_CONFIG.NPOINTS: [4096, 1024, 256, 64] 2021-01-28 14:34:19,419 INFO cfg.RPN.SA_CONFIG.RADIUS: [[0.1, 0.5], [0.5, 1.0], [1.0, 2.0], [2.0, 4.0]] 2021-01-28 14:34:19,419 INFO cfg.RPN.SA_CONFIG.NSAMPLE: [[16, 32], [16, 32], [16, 32], [16, 32]] 2021-01-28 14:34:19,420 INFO cfg.RPN.SA_CONFIG.MLPS: [[[16, 16, 32], [32, 32, 64]], [[64, 64, 128], [64, 96, 128]], [[128, 196, 256], [128, 196, 256]], [[256, 256, 512], [256, 384, 512]]] 2021-01-28 14:34:19,420 INFO cfg.RPN.FP_MLPS: [[128, 128], [256, 256], [512, 512], [512, 512]] 2021-01-28 14:34:19,420 INFO cfg.RPN.CLS_FC: [128] 2021-01-28 14:34:19,420 INFO cfg.RPN.REG_FC: [128] 2021-01-28 14:34:19,420 INFO cfg.RPN.DP_RATIO: 0.5 2021-01-28 14:34:19,420 INFO cfg.RPN.LOSS_CLS: SigmoidFocalLoss 2021-01-28 14:34:19,420 INFO cfg.RPN.FG_WEIGHT: 15 2021-01-28 14:34:19,420 INFO cfg.RPN.FOCAL_ALPHA: [0.25, 0.75] 2021-01-28 14:34:19,420 INFO cfg.RPN.FOCAL_GAMMA: 2.0 2021-01-28 14:34:19,420 INFO cfg.RPN.REG_LOSS_WEIGHT: [1.0, 1.0, 1.0, 1.0] 2021-01-28 14:34:19,420 INFO cfg.RPN.LOSS_WEIGHT: [1.0, 1.0] 2021-01-28 14:34:19,420 INFO cfg.RPN.NMS_TYPE: normal 2021-01-28 14:34:19,420 INFO cfg.RPN.SCORE_THRESH: 0.3 2021-01-28 14:34:19,420 INFO
  cfg.RCNN = edict() 2021-01-28 14:34:19,420 INFO cfg.RCNN.ENABLED: True 2021-01-28 14:34:19,420 INFO cfg.RCNN.USE_RPN_FEATURES: True 2021-01-28 14:34:19,420 INFO cfg.RCNN.USE_MASK: True 2021-01-28 14:34:19,420 INFO cfg.RCNN.MASK_TYPE: seg 2021-01-28 14:34:19,420 INFO cfg.RCNN.USE_INTENSITY: False 2021-01-28 14:34:19,420 INFO cfg.RCNN.USE_DEPTH: True 2021-01-28 14:34:19,420 INFO cfg.RCNN.USE_SEG_SCORE: False 2021-01-28 14:34:19,420 INFO cfg.RCNN.ROI_SAMPLE_JIT: True 2021-01-28 14:34:19,420 INFO cfg.RCNN.ROI_FG_AUG_TIMES: 10 2021-01-28 14:34:19,420 INFO cfg.RCNN.REG_AUG_METHOD: multiple 2021-01-28 14:34:19,420 INFO cfg.RCNN.POOL_EXTRA_WIDTH: 1.0 2021-01-28 14:34:19,420 INFO cfg.RCNN.LOC_SCOPE: 1.5 2021-01-28 14:34:19,420 INFO cfg.RCNN.LOC_BIN_SIZE: 0.5 2021-01-28 14:34:19,420 INFO cfg.RCNN.NUM_HEAD_BIN: 9 2021-01-28 14:34:19,421 INFO cfg.RCNN.LOC_Y_BY_BIN: False 2021-01-28 14:34:19,421 INFO cfg.RCNN.LOC_Y_SCOPE: 0.5 2021-01-28 14:34:19,421 INFO cfg.RCNN.LOC_Y_BIN_SIZE: 0.25 2021-01-28 14:34:19,421 INFO cfg.RCNN.SIZE_RES_ON_ROI: False 2021-01-28 14:34:19,421 INFO cfg.RCNN.USE_BN: False 2021-01-28 14:34:19,421 INFO cfg.RCNN.DP_RATIO: 0.0 2021-01-28 14:34:19,421 INFO cfg.RCNN.BACKBONE: pointnet 2021-01-28 14:34:19,421 INFO cfg.RCNN.XYZ_UP_LAYER: [128, 128] 2021-01-28 14:34:19,421 INFO cfg.RCNN.NUM_POINTS: 512 2021-01-28 14:34:19,421 INFO
  cfg.RCNN.SA_CONFIG = edict() 2021-01-28 14:34:19,421 INFO cfg.RCNN.SA_CONFIG.NPOINTS: [128, 32, -1] 2021-01-28 14:34:19,421 INFO cfg.RCNN.SA_CONFIG.RADIUS: [0.2, 0.4, 100] 2021-01-28 14:34:19,421 INFO cfg.RCNN.SA_CONFIG.NSAMPLE: [64, 64, 64] 2021-01-28 14:34:19,421 INFO cfg.RCNN.SA_CONFIG.MLPS: [[128, 128, 128], [128, 128, 256], [256, 256, 512]] 2021-01-28 14:34:19,421 INFO cfg.RCNN.CLS_FC: [256, 256] 2021-01-28 14:34:19,421 INFO cfg.RCNN.REG_FC: [256, 256] 2021-01-28 14:34:19,421 INFO cfg.RCNN.LOSS_CLS: BinaryCrossEntropy 2021-01-28 14:34:19,421 INFO cfg.RCNN.FOCAL_ALPHA: [0.25, 0.75] 2021-01-28 14:34:19,421 INFO cfg.RCNN.FOCAL_GAMMA: 2.0 2021-01-28 14:34:19,421 INFO cfg.RCNN.CLS_WEIGHT: [1. 1. 1.] 2021-01-28 14:34:19,422 INFO cfg.RCNN.CLS_FG_THRESH: 0.6 2021-01-28 14:34:19,422 INFO cfg.RCNN.CLS_BG_THRESH: 0.45 2021-01-28 14:34:19,422 INFO cfg.RCNN.CLS_BG_THRESH_LO: 0.05 2021-01-28 14:34:19,422 INFO cfg.RCNN.REG_FG_THRESH: 0.55 2021-01-28 14:34:19,422 INFO cfg.RCNN.FG_RATIO: 0.5 2021-01-28 14:34:19,422 INFO cfg.RCNN.ROI_PER_IMAGE: 64 2021-01-28 14:34:19,422 INFO cfg.RCNN.HARD_BG_RATIO: 0.8 2021-01-28 14:34:19,422 INFO cfg.RCNN.SCORE_THRESH: 0.3 2021-01-28 14:34:19,422 INFO cfg.RCNN.NMS_THRESH: 0.1 2021-01-28 14:34:19,422 INFO
  cfg.TRAIN = edict() 2021-01-28 14:34:19,422 INFO cfg.TRAIN.SPLIT: train 2021-01-28 14:34:19,422 INFO cfg.TRAIN.VAL_SPLIT: sample 2021-01-28 14:34:19,422 INFO cfg.TRAIN.LR: 0.002 2021-01-28 14:34:19,422 INFO cfg.TRAIN.LR_CLIP: 1e-05 2021-01-28 14:34:19,422 INFO cfg.TRAIN.LR_DECAY: 0.5 2021-01-28 14:34:19,422 INFO cfg.TRAIN.DECAY_STEP_LIST: [100, 150, 180, 200] 2021-01-28 14:34:19,422 INFO cfg.TRAIN.LR_WARMUP: True 2021-01-28 14:34:19,422 INFO cfg.TRAIN.WARMUP_MIN: 0.0002 2021-01-28 14:34:19,422 INFO cfg.TRAIN.WARMUP_EPOCH: 1 2021-01-28 14:34:19,422 INFO cfg.TRAIN.BN_MOMENTUM: 0.1 2021-01-28 14:34:19,422 INFO cfg.TRAIN.BN_DECAY: 0.5 2021-01-28 14:34:19,422 INFO cfg.TRAIN.BNM_CLIP: 0.01 2021-01-28 14:34:19,422 INFO cfg.TRAIN.BN_DECAY_STEP_LIST: [1000] 2021-01-28 14:34:19,422 INFO cfg.TRAIN.OPTIMIZER: adam_onecycle 2021-01-28 14:34:19,422 INFO cfg.TRAIN.WEIGHT_DECAY: 0.001 2021-01-28 14:34:19,422 INFO cfg.TRAIN.MOMENTUM: 0.9 2021-01-28 14:34:19,422 INFO cfg.TRAIN.MOMS: [0.95, 0.85] 2021-01-28 14:34:19,423 INFO cfg.TRAIN.DIV_FACTOR: 10.0 2021-01-28 14:34:19,423 INFO cfg.TRAIN.PCT_START: 0.4 2021-01-28 14:34:19,423 INFO cfg.TRAIN.GRAD_NORM_CLIP: 1.0 2021-01-28 14:34:19,423 INFO cfg.TRAIN.RPN_PRE_NMS_TOP_N: 9000 2021-01-28 14:34:19,423 INFO cfg.TRAIN.RPN_POST_NMS_TOP_N: 512 2021-01-28 14:34:19,423 INFO cfg.TRAIN.RPN_NMS_THRESH: 0.75 2021-01-28 14:34:19,423 INFO cfg.TRAIN.RPN_DISTANCE_BASED_PROPOSE: True 2021-01-28 14:34:19,423 INFO
  cfg.TEST = edict() 2021-01-28 14:34:19,423 INFO cfg.TEST.SPLIT: sample 2021-01-28 14:34:19,423 INFO cfg.TEST.RPN_PRE_NMS_TOP_N: 9000 2021-01-28 14:34:19,423 INFO cfg.TEST.RPN_POST_NMS_TOP_N: 100 2021-01-28 14:34:19,423 INFO cfg.TEST.RPN_NMS_THRESH: 0.7 2021-01-28 14:34:19,423 INFO cfg.TEST.RPN_DISTANCE_BASED_PROPOSE: True THCudaCheck FAIL file=/opt/conda/conda-bld/pytorch_1565272279342/work/aten/src/THC/THCGeneral.cpp line=50 error=30 : unknown error Traceback (most recent call last): File "eval_rcnn.py", line 568, in eval_single_ckpt(root_result_dir) File "eval_rcnn.py", line 507, in eval_single_ckpt model = PointRCNN(num_classes=2, use_xyz=True, mode='TEST') File "/home/teroot/Uhnder_OGM/Annotator/smart-annotation-pointrcnn/app/PointCNN/tools/../lib/net/point_rcnn.py", line 15, in init self.rpn = RPN(use_xyz=use_xyz, mode=mode) File "/home/teroot/Uhnder_OGM/Annotator/smart-annotation-pointrcnn/app/PointCNN/tools/../lib/net/rpn.py", line 64, in init self.proposal_layer = ProposalLayer(mode=mode) File "/home/teroot/Uhnder_OGM/Annotator/smart-annotation-pointrcnn/app/PointCNN/tools/../lib/rpn/proposal_layer.py", line 13, in init self.MEAN_SIZE = torch.from_numpy(cfg.CLS_MEAN_SIZE[0]).cuda() File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/torch/cuda/init.py", line 179, in _lazy_init torch._C._cuda_init() RuntimeError: cuda runtime error (30) : unknown error at /opt/conda/conda-bld/pytorch_1565272279342/work/aten/src/THC/THCGeneral.cpp:50 000 finished................ enjoy!

  ============================================== 127.0.0.1 - - [28/Jan/2021 14:34:19] "POST /getFramePointCloud HTTP/1.1" 500 - Traceback (most recent call last): File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/flask/app.py", line 2464, in call return self.wsgi_app(environ, start_response) File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/flask/app.py", line 2450, in wsgi_app response = self.handle_exception(e) File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/flask/app.py", line 1867, in handle_exception reraise(exc_type, exc_value, tb) File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/flask/_compat.py", line 39, in reraise raise value File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/flask/app.py", line 2447, in wsgi_app response = self.full_dispatch_request() File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/flask/app.py", line 1952, in full_dispatch_request rv = self.handle_user_exception(e) File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/flask/app.py", line 1821, in handle_user_exception reraise(exc_type, exc_value, tb) File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/flask/_compat.py", line 39, in reraise raise value File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/flask/app.py", line 1950, in full_dispatch_request rv = self.dispatch_request() File "/home/teroot/miniconda3/envs/smartannotation/lib/python3.6/site-packages/flask/app.py", line 1936, in dispatch_request return self.view_functionsrule.endpoint File "/home/teroot/Uhnder_OGM/Annotator/smart-annotation-pointrcnn/app/app.py", line 86, in getFramePointCloud data_str = fh.get_pointcloud(drivename, fname, dtype=str) File "/home/teroot/Uhnder_OGM/Annotator/smart-annotation-pointrcnn/app/frame_handler.py", line 68, in get_pointcloud assert isfile(seg_file) AssertionError

[giangdip2410]

I also have same error, please help us to fix this. Thank you

10.92.200.51 - - [16/Mar/2021 04:08:40] "POST /getFramePointCloud HTTP/1.1" 500 - Traceback (most recent call last): File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 2464, in call return self.wsgi_app(environ, start_response) File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 2450, in wsgi_app response = self.handle_exception(e) File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 1867, in handle_exception reraise(exc_type, exc_value, tb) File "/usr/local/lib/python3.6/dist-packages/flask/_compat.py", line 39, in reraise raise value File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 2447, in wsgi_app response = self.full_dispatch_request() File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 1952, in full_dispatch_request rv = self.handle_user_exception(e) File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 1821, in handle_user_exception reraise(exc_type, exc_value, tb) File "/usr/local/lib/python3.6/dist-packages/flask/_compat.py", line 39, in reraise raise value File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 1950, in full_dispatch_request rv = self.dispatch_request() File "/usr/local/lib/python3.6/dist-packages/flask/app.py", line 1936, in dispatch_request return self.view_functionsrule.endpoint File "/root/GVH403/source/Docker/TEST/smart-annotation-pointrcnn-master/app/app.py", line 86, in getFramePointCloud data_str = fh.get_pointcloud(drivename, fname, dtype=str) File "/root/GVH403/source/Docker/TEST/smart-annotation-pointrcnn-master/app/frame_handler.py", line 68, in get_pointcloud assert isfile(seg_file) AssertionError

[giangdip2410]

@RevathiTS : I have fixed my issue, my case is command line must be python3 not python.