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dongkwonjin / Eigenlanes

Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
Apache License 2.0
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Error: image not found,but it does exist #3

Closed shuizaola closed 2 years ago

shuizaola commented 2 years ago

CUDA_VISIBLE_DEVICES=1 nohup python main.py --run_mode train --pre_dir /home/Disk-2T/chedao/Eigenlanes-main/preprocessed/tusimple/ --dataset_dir /home/Disk-2T/chedao/Eigenlanes-main/Tusimple > tisimpletrain1.log 2>&1 & [1] 28049 (chelane) caipeng@li-MS-7B96:/home/Disk-2T/caipeng_chedao/Eigenlanes-main/Modeling/tusimple/code$ tail -f tisimpletrain1.log train start /home/Disk-2Taipeng_chedao/Eigenlanes-main/Modeling/tusimple/code/networks/model.py:158: UserWarning: This overload of nonzero is deprecated: nonzero() Consider using one of the following signatures instead: nonzero(*, bool as_tuple) (Triggered internally at /pytorch/torch/csrc/utils/python_arg_parser.cpp:766.) area[i] = mask[i].nonzero().shape[0] /home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/nn/_reduction.py:44: UserWarning: size_average and reduce args will be deprecated, please use reduction='mean' instead. warnings.warn(warning.format(ret)) /home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/nn/_reduction.py:44: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. warnings.warn(warning.format(ret)) img iter 0 ==> 0313-1/50820/20 img iter 50 ==> 0313-1/43140/20 img iter 100 ==> 0313-1/6400/20 img iter 150 ==> 0313-2/42280/20 img iter 200 ==> 0313-1/5820/20 img iter 250 ==> 0313-2/8040/20

Average Loss : 0.060205, 0.027879, 0.026334, 0.686977, 1.284911, 0.057571, 0.004878, 0.066173, 0.354894, label distribution [80.7 0. 0. 0. 0. 0. 0. 1.8 14.5 2.9 0. ]

epoch 1

train start /home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/nn/functional.py:3118: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details. warnings.warn("Default upsampling behavior when mode={} is changed " /home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/optim/lr_scheduler.py:143: UserWarning: The epoch parameter in scheduler.step() was not necessary and is being deprecated where possible. Please use scheduler.step() to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose. warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning) img iter 0 ==> 0313-1/16760/20 img iter 50 ==> 0313-1/13680/20 img iter 100 ==> 0313-2/25200/20 img iter 150 ==> 0313-2/1055/20 img iter 200 ==> 0313-2/615/20 img iter 250 ==> 0313-2/6360/20

Average Loss : 0.050388, 0.021135, 0.007948, 0.073888, 0.403831, 0.031649, 0.004619, 0.039286, 0.174917, label distribution [79.8 0. 0. 0. 0. 0. 0. 2.5 14.9 2.8 0. ]

Traceback (most recent call last): File "main.py", line 51, in main() File "main.py", line 46, in main main_train(cfg, dict_DB) File "main.py", line 23, in main_train train_process.run() File "/home/Disk-2T/chedao/Eigenlanes-main/Modeling/tusimple/code/trains/train.py", line 135, in run self.validation() File "/home/Disk-2T/chedao/Eigenlanes-main/Modeling/tusimple/code/trains/train.py", line 115, in validation metric = self.test_process.run(self.model, mode='val') File "/home/Disk-2T/chedao/Eigenlanes-main/Modeling/tusimple/code/tests/test.py", line 23, in run for i, self.batch in enumerate(self.testloader): # load batch data File "/home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 363, in next data = self._next_data() File "/home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 989, in _next_data return self._process_data(data) File "/home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1014, in _process_data data.reraise() File "/home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/_utils.py", line 395, in reraise raise self.exc_type(msg) FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 0. Original Traceback (most recent call last): File "/home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 185, in _worker_loop data = fetcher.fetch(index) File "/home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/cp/anaconda3/envs/chelane/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/Disk-2T/chedao/Eigenlanes-main/Modeling/tusimple/code/datasets/dataset_tusimple.py", line 249, in getitem out.update(self.get_image(idx)) File "/home/Disk-2T/chedao/Eigenlanes-main/Modeling/tusimple/code/datasets/dataset_tusimple.py", line 200, in get_image img = Image.open(self.cfg.dir['dataset'] + '/test_set/clips/{}.jpg'.format(self.datalist[idx])).convert('RGB') File "/home/caipeng/anaconda3/envs/chelane/lib/python3.8/site-packages/PIL/Image.py", line 2766, in open fp = builtins.open(filename, "rb") FileNotFoundError: [Errno 2] No such file or directory: '/home/Disk-2T/chedao/Eigenlanes-main/Tusimple/test_set/clips/0530/1492626760788443246_0/20.jpg'

dongkwonjin commented 2 years ago

Hi. Thank you for your interest.

Please check if the image path is correct.

You can download Tusimple dataset at https://github.com/TuSimple/tusimple-benchmark/issues/3.