ZwwWayne / mmMOT

[ICCV2019] Robust Multi-Modality Multi-Object Tracking
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FileNotFoundError: [Errno 2] No such file or directory: kitti/testing/image_02/0001/000147.png' #18

Open Zhongwei-Luo opened 4 years ago

Zhongwei-Luo commented 4 years ago

why is so odd,what wrong with kitti dataset? 2020-04-27 18-26-00屏幕截图

runing command:

(mmmot) lzw@resplendent-star:~/resplendent_code/3d_tracking/mmMOT-master$ python -u eval_seq.py --config /home/lzw/resplendent_code/3d_tracking/mmMOT-master/experiments/pp_pv_40e_dualadd_subabs_C/config.yaml --load-path=/home/lzw/resplendent_code/3d_tracking/mmMOT-master/experiments/pp_pv_40e_dualadd_subabs_C/model/pp_pv_40e_dualadd_subabs_C.pth --result-path=/home/lzw/resplendent_code/3d_tracking/mmMOT-master/experiments/pp_pv_40e_dualadd_subabs_C/results --result_sha=eval Fusion Module C: split sigmoid weight gated point, image fusion use Skip Pooling in appearance model use avg in pointnet feat Use minus_abs similarity with fusion module End version V2 by avg NewEndIndicator_v2( (conv0): Sequential( (0): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1)) (1): GroupNorm(1, 512, eps=1e-05, affine=True) (2): ReLU(inplace=True) ) (conv1): Sequential( (0): Conv1d(512, 512, kernel_size=(1,), stride=(1,)) (1): GroupNorm(1, 512, eps=1e-05, affine=True) (2): ReLU(inplace=True) (3): Conv1d(512, 128, kernel_size=(1,), stride=(1,)) (4): GroupNorm(1, 128, eps=1e-05, affine=True) (5): ReLU(inplace=True) (6): Conv1d(128, 1, kernel_size=(1,), stride=(1,)) (7): Sigmoid() ) ) => loading checkpoint '/home/lzw/resplendent_code/3d_tracking/mmMOT-master/experiments/pp_pv_40e_dualadd_subabs_C/model/pp_pv_40e_dualadd_subabs_C.pth' Building dataset using dets file ./data/pp_train_dets.pkl Detect [ 16258] cars in [3365/3975] images Add [0] cars in [0/3975] images Building dataset using dets file ./data/pp_val_dets.pkl Detect [ 13170] cars in [3475/3945] images Add [0] cars in [0/3945] images [2020-04-27 18:20:40,697][eval_seq.py][line: 64][ INFO] args: Namespace(config='/home/lzw/resplendent_code/3d_tracking/mmMOT-master/experiments/pp_pv_40e_dualadd_subabs_C/config.yaml', evaluate=False, load_path='/home/lzw/resplendent_code/3d_tracking/mmMOT-master/experiments/pp_pv_40e_dualadd_subabs_C/model/pp_pv_40e_dualadd_subabs_C.pth', memory=False, recover=False, result_path='/home/lzw/resplendent_code/3d_tracking/mmMOT-master/experiments/pp_pv_40e_dualadd_subabs_C/results', result_sha='eval') [2020-04-27 18:20:40,698][eval_seq.py][line: 65][ INFO] config: {'augmentation': {'input_size': 224, 'test_resize': 224}, 'batch_size': 1, 'det_type': '3D', 'dropblock': 0, 'fixed_wd': True, 'gt_det_ratio': 0, 'loss': {'det_loss': 'bce', 'det_ratio': 1.5, 'link_loss': 'l2', 'smooth_ratio': 0, 'trans_last': True, 'trans_ratio': 0.001}, 'lr_scheduler': {'base_lr': 0.0003, 'div_factor': 10.0, 'lr_max': 0.0006, 'max_iter': 134200, 'moms': [0.95, 0.85], 'optim': 'Adam', 'pct_start': 0.4, 'type': 'one_cycle'}, 'model': {'affinity_op': 'minus_abs', 'appear_arch': 'vgg', 'appear_fpn': False, 'appear_len': 512, 'appear_skippool': True, 'end_arch': 'v2', 'end_mode': 'avg', 'neg_threshold': 0.2, 'point_arch': 'v1', 'point_len': 512, 'score_arch': 'branch_cls', 'score_fusion_arch': 'C', 'softmax_mode': 'dual_add', 'test_mode': 2}, 'momentum': 0.9, 'print_freq': 100, 'sample_max_len': 2, 'save_path': '/home/lzw/resplendent_code/3d_tracking/mmMOT-master/experiments/pp_pv_40e_dualadd_subabs_C', 'tracker_type': '3D', 'train_det': './data/pp_train_dets.pkl', 'train_fix_count': 0, 'train_fix_iou': 1, 'train_link': './data/train.txt', 'train_root': './kitti_t_o/training', 'train_source': './kitti_t_o/training/', 'use_dropout': False, 'use_frustum': False, 'use_moving_average': False, 'val_det': './data/pp_val_dets.pkl', 'val_fix_count': 0, 'val_fix_iou': 1, 'val_freq': 3355, 'val_link': './data/val.txt', 'val_root': './kitti_t_o/training', 'val_source': './kitti_t_o/training/', 'weight_decay': 0.01, 'without_reflectivity': True, 'workers': 1} [2020-04-27 18:20:40,699][eval_seq.py][line: 69][ INFO] Evaluation on traing set: [2020-04-27 18:20:40,699][eval_seq.py][line: 89][ INFO] Test: [0/10] Sequence ID: KITTI-0003 [2020-04-27 18:20:42,881][eval_seq.py][line: 160][ INFO] Test Frame: [0/143] Time 2.182(2.182) [2020-04-27 18:20:59,636][eval_seq.py][line: 160][ INFO] Test Frame: [100/143] Time 0.221(0.187) Make directory: /home/lzw/resplendent_code/3d_tracking/mmMOT-master/experiments/pp_pv_40e_dualadd_subabs_C/results/eval/train [2020-04-27 18:21:03,890][eval_seq.py][line: 89][ INFO] Test: [1/10] Sequence ID: KITTI-0001 [2020-04-27 18:21:05,347][eval_seq.py][line: 160][ INFO] Test Frame: [0/422] Time 1.456(1.456) [2020-04-27 18:21:40,783][eval_seq.py][line: 160][ INFO] Test Frame: [100/422] Time 0.263(0.365) Traceback (most recent call last): File "eval_seq.py", line 204, in main() File "eval_seq.py", line 70, in main validate(train_dataset, tracking_module, args.result_sha, part='train') File "eval_seq.py", line 106, in validate seq_loader, tracking_module) File "eval_seq.py", line 144, in validate_seq for i, (input, det_info, dets, det_split) in enumerate(val_loader): File "/home/lzw/anaconda3/envs/mmmot/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 819, in next return self._process_data(data) File "/home/lzw/anaconda3/envs/mmmot/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 846, in _process_data data.reraise() File "/home/lzw/anaconda3/envs/mmmot/lib/python3.7/site-packages/torch/_utils.py", line 369, in reraise raise self.exc_type(msg) FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 0. Original Traceback (most recent call last): File "/home/lzw/anaconda3/envs/mmmot/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 178, in _worker_loop data = fetcher.fetch(index) File "/home/lzw/anaconda3/envs/mmmot/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/lzw/anaconda3/envs/mmmot/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/lzw/resplendent_code/3d_tracking/mmMOT-master/dataset/test_seq_dataset.py", line 139, in getitem return self._generate_img_lidar(idx) File "/home/lzw/resplendent_code/3d_tracking/mmMOT-master/dataset/test_seq_dataset.py", line 191, in _generate_img_lidar img = Image.open(path) File "/home/lzw/anaconda3/envs/mmmot/lib/python3.7/site-packages/PIL/Image.py", line 2770, in open fp = builtins.open(filename, "rb") FileNotFoundError: [Errno 2] No such file or directory: '/media/lzw/new_add/dataset/kitti/testing/image_02/0001/000147.png'

(mmmot) lzw@resplendent-star:~/resplendent_code/3d_tracking/mmMOT-master$

ZwwWayne commented 4 years ago

I do not know about it, maybe you need to download the data again.

Zhongwei-Luo commented 4 years ago

I do not know about it, maybe you need to download the data again.

thanks for you reply

Zhongwei-Luo commented 4 years ago

I do not know about it, maybe you need to download the data again.

if you are free could plz have a look at you mot kitti dataset? testing/image_02/0001,this folder,to see how many image in it thanks very much

ZwwWayne commented 4 years ago

Ops, my data is from 0000 to 0146, I do not have 147. But I met no bug.

llllliu1 commented 3 years ago

Hello, could you show me your catalog?When I run the same code as you, there is an error :.FileNotFoundError: [Errno 2] No such file or directory: './kitti_t_o/training/oxts/0000.txt' ,But I don't see oxts/ .... in the author's README So I am confused about what the correct directory one looks like, I am looking forward to your reply.

AdarshPan commented 3 years ago

Hey I am getting the same error man!

Mind Helping me ??

here is the error code: FileNotFoundError: [Errno 2] No such file or directory: 'media/ransome.png'

Just Dunno whats going on