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FileNotFoundError: [Errno 2] No such file or directory: kitti/testing/image_02/0001/000147.png' #18
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I do not know about it, maybe you need to download the data again. |
thanks for you reply |
if you are free could plz have a look at you mot kitti dataset? |
Ops, my data is from 0000 to 0146, I do not have 147. But I met no bug. |
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 |
Hey I am getting the same error man! Mind Helping me ?? here is the error code: Just Dunno whats going on |
why is so odd,what wrong with kitti dataset?
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$
The text was updated successfully, but these errors were encountered: