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sshan-zhao / GASDA

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation, CVPR 2019
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Dataset issues #17

Open zhanghaobucunzai opened 3 years ago

zhanghaobucunzai commented 3 years ago

vKITTI which I have downloaded is jpg，but the train.txt is png, what should i do to process them

sshan-zhao commented 3 years ago

vKITTI which I have downloaded is jpg，but the train.txt is png, what should i do to process them

Did you try to replace .png with .jpg?

zhanghaobucunzai commented 3 years ago

/usr/local/python3.6.7/lib/python3.6/site-packages/torch/nn/functional.py:2941: UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.") /user1/GASDA-master/models/networks.py:130: UserWarning: Mixed memory format inputs detected while calling the operator. The operator will output contiguous tensor even if some of the inputs are in channels_last format. (Triggered internally at /pytorch/aten/src/ATen/native/TensorIterator.cpp:918.) sigma_xy = F.avg_pool2d(xy, 3, 1) - mu_xmu_y (epoch: 1, iters: 32, lr: 1.000000e-04, time: 0.151, data: 5.862) R_Depth_Src: 2.215403 S_Depth_Tgt: 0.008330 R_Img_Tgt: 0.909889 (epoch: 1, iters: 64, lr: 1.000000e-04, time: 0.153, data: 0.000) R_Depth_Src: 1.338119 S_Depth_Tgt: 0.004384 R_Img_Tgt: 0.940811 (epoch: 1, iters: 96, lr: 1.000000e-04, time: 0.153, data: 0.007) R_Depth_Src: 1.033507 S_Depth_Tgt: 0.003214 R_Img_Tgt: 0.986949 (epoch: 1, iters: 128, lr: 1.000000e-04, time: 0.154, data: 0.000) R_Depth_Src: 0.812624 S_Depth_Tgt: 0.002983 R_Img_Tgt: 0.777155 (epoch: 1, iters: 160, lr: 1.000000e-04, time: 0.154, data: 0.000) R_Depth_Src: 0.758285 S_Depth_Tgt: 0.002648 R_Img_Tgt: 0.918045 (epoch: 1, iters: 192, lr: 1.000000e-04, time: 0.155, data: 0.000) R_Depth_Src: 0.845115 S_Depth_Tgt: 0.002078 R_Img_Tgt: 0.894601 (epoch: 1, iters: 224, lr: 1.000000e-04, time: 0.155, data: 0.000) R_Depth_Src: 0.878263 S_Depth_Tgt: 0.002062 R_Img_Tgt: 0.899929 (epoch: 1, iters: 256, lr: 1.000000e-04, time: 0.152, data: 0.000) R_Depth_Src: 0.697740 S_Depth_Tgt: 0.002119 R_Img_Tgt: 0.789803 (epoch: 1, iters: 288, lr: 1.000000e-04, time: 0.158, data: 0.000) R_Depth_Src: 0.766624 S_Depth_Tgt: 0.001632 R_Img_Tgt: 0.880449 (epoch: 1, iters: 320, lr: 1.000000e-04, time: 0.157, data: 0.000) R_Depth_Src: 0.570090 S_Depth_Tgt: 0.001451 R_Img_Tgt: 0.765347 (epoch: 1, iters: 352, lr: 1.000000e-04, time: 0.151, data: 0.000) R_Depth_Src: 0.456238 S_Depth_Tgt: 0.001822 R_Img_Tgt: 0.804739 (epoch: 1, iters: 384, lr: 1.000000e-04, time: 0.150, data: 0.000) R_Depth_Src: 0.437253 S_Depth_Tgt: 0.002167 R_Img_Tgt: 0.888291 (epoch: 1, iters: 416, lr: 1.000000e-04, time: 0.150, data: 0.000) R_Depth_Src: 0.451342 S_Depth_Tgt: 0.001789 R_Img_Tgt: 0.819866 (epoch: 1, iters: 448, lr: 1.000000e-04, time: 0.156, data: 0.002) R_Depth_Src: 0.800699 S_Depth_Tgt: 0.001326 R_Img_Tgt: 0.869186 (epoch: 1, iters: 480, lr: 1.000000e-04, time: 0.154, data: 0.000) R_Depth_Src: 0.378739 S_Depth_Tgt: 0.001441 R_Img_Tgt: 0.858967 (epoch: 1, iters: 512, lr: 1.000000e-04, time: 0.163, data: 0.000) R_Depth_Src: 0.591014 S_Depth_Tgt: 0.001151 R_Img_Tgt: 0.855171 Traceback (most recent call last): File "train.py", line 35, in for ind, data in enumerate(train_data_loader): File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 363, in next data = self._next_data() File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 989, in _next_data return self._process_data(data) File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 1014, in _process_data data.reraise() File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/_utils.py", line 395, in reraise raise self.exc_type(msg) OSError: Caught OSError in DataLoader worker process 2. Original Traceback (most recent call last): File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 185, in _worker_loop data = fetcher.fetch(index) File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/user1/GASDA-master/data/datasets.py", line 22, in getitem {dd.update(d[i]) for d in self.datasets if d is not None} File "/user1//GASDA-master/data/datasets.py", line 22, in {dd.update(d[i]) for d in self.datasets if d is not None} File "/user1/GASDA-master/data/datasets.py", line 156, in getitem l_img, r_img, fb, depth = self.read_data(datafiles) File "/user1/GASDA-master/data/datasets.py", line 139, in read_data r_rgb = Image.open(osp.join(self.root, datafiles['r_rgb'])).convert('RGB') File "/usr/local/python3.6.7/lib/python3.6/site-packages/PIL/Image.py", line 915, in convert self.load() File "/usr/local/python3.6.7/lib/python3.6/site-packages/PIL/ImageFile.py", line 274, in load raise_oserror(err_code) File "/usr/local/python3.6.7/lib/python3.6/site-packages/PIL/ImageFile.py", line 67, in raise_oserror raise OSError(message + " when reading image file") OSError: broken data stream when reading image file

sshan-zhao commented 3 years ago

/usr/local/python3.6.7/lib/python3.6/site-packages/torch/nn/functional.py:2941: UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.") /user1/GASDA-master/models/networks.py:130: UserWarning: Mixed memory format inputs detected while calling the operator. The operator will output contiguous tensor even if some of the inputs are in channels_last format. (Triggered internally at /pytorch/aten/src/ATen/native/TensorIterator.cpp:918.) sigma_xy = F.avg_pool2d(x_y, 3, 1) - mu_x_mu_y (epoch: 1, iters: 32, lr: 1.000000e-04, time: 0.151, data: 5.862) R_Depth_Src: 2.215403 S_Depth_Tgt: 0.008330 R_Img_Tgt: 0.909889 (epoch: 1, iters: 64, lr: 1.000000e-04, time: 0.153, data: 0.000) R_Depth_Src: 1.338119 S_Depth_Tgt: 0.004384 R_Img_Tgt: 0.940811 (epoch: 1, iters: 96, lr: 1.000000e-04, time: 0.153, data: 0.007) R_Depth_Src: 1.033507 S_Depth_Tgt: 0.003214 R_Img_Tgt: 0.986949 (epoch: 1, iters: 128, lr: 1.000000e-04, time: 0.154, data: 0.000) R_Depth_Src: 0.812624 S_Depth_Tgt: 0.002983 R_Img_Tgt: 0.777155 (epoch: 1, iters: 160, lr: 1.000000e-04, time: 0.154, data: 0.000) R_Depth_Src: 0.758285 S_Depth_Tgt: 0.002648 R_Img_Tgt: 0.918045 (epoch: 1, iters: 192, lr: 1.000000e-04, time: 0.155, data: 0.000) R_Depth_Src: 0.845115 S_Depth_Tgt: 0.002078 R_Img_Tgt: 0.894601 (epoch: 1, iters: 224, lr: 1.000000e-04, time: 0.155, data: 0.000) R_Depth_Src: 0.878263 S_Depth_Tgt: 0.002062 R_Img_Tgt: 0.899929 (epoch: 1, iters: 256, lr: 1.000000e-04, time: 0.152, data: 0.000) R_Depth_Src: 0.697740 S_Depth_Tgt: 0.002119 R_Img_Tgt: 0.789803 (epoch: 1, iters: 288, lr: 1.000000e-04, time: 0.158, data: 0.000) R_Depth_Src: 0.766624 S_Depth_Tgt: 0.001632 R_Img_Tgt: 0.880449 (epoch: 1, iters: 320, lr: 1.000000e-04, time: 0.157, data: 0.000) R_Depth_Src: 0.570090 S_Depth_Tgt: 0.001451 R_Img_Tgt: 0.765347 (epoch: 1, iters: 352, lr: 1.000000e-04, time: 0.151, data: 0.000) R_Depth_Src: 0.456238 S_Depth_Tgt: 0.001822 R_Img_Tgt: 0.804739 (epoch: 1, iters: 384, lr: 1.000000e-04, time: 0.150, data: 0.000) R_Depth_Src: 0.437253 S_Depth_Tgt: 0.002167 R_Img_Tgt: 0.888291 (epoch: 1, iters: 416, lr: 1.000000e-04, time: 0.150, data: 0.000) R_Depth_Src: 0.451342 S_Depth_Tgt: 0.001789 R_Img_Tgt: 0.819866 (epoch: 1, iters: 448, lr: 1.000000e-04, time: 0.156, data: 0.002) R_Depth_Src: 0.800699 S_Depth_Tgt: 0.001326 R_Img_Tgt: 0.869186 (epoch: 1, iters: 480, lr: 1.000000e-04, time: 0.154, data: 0.000) R_Depth_Src: 0.378739 S_Depth_Tgt: 0.001441 R_Img_Tgt: 0.858967 (epoch: 1, iters: 512, lr: 1.000000e-04, time: 0.163, data: 0.000) R_Depth_Src: 0.591014 S_Depth_Tgt: 0.001151 R_Img_Tgt: 0.855171 Traceback (most recent call last): File "train.py", line 35, in for ind, data in enumerate(train_data_loader): File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 363, in next data = self._next_data() File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 989, in _next_data return self._process_data(data) File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 1014, in _process_data data.reraise() File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/_utils.py", line 395, in reraise raise self.exc_type(msg) OSError: Caught OSError in DataLoader worker process 2. Original Traceback (most recent call last): File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 185, in _worker_loop data = fetcher.fetch(index) File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/usr/local/python3.6.7/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/user1/GASDA-master/data/datasets.py", line 22, in getitem {dd.update(d[i]) for d in self.datasets if d is not None} File "/user1//GASDA-master/data/datasets.py", line 22, in {dd.update(d[i]) for d in self.datasets if d is not None} File "/user1/GASDA-master/data/datasets.py", line 156, in getitem l_img, r_img, fb, depth = self.read_data(datafiles) File "/user1/GASDA-master/data/datasets.py", line 139, in read_data r_rgb = Image.open(osp.join(self.root, datafiles['r_rgb'])).convert('RGB') File "/usr/local/python3.6.7/lib/python3.6/site-packages/PIL/Image.py", line 915, in convert self.load() File "/usr/local/python3.6.7/lib/python3.6/site-packages/PIL/ImageFile.py", line 274, in load raise_oserror(err_code) File "/usr/local/python3.6.7/lib/python3.6/site-packages/PIL/ImageFile.py", line 67, in raise_oserror raise OSError(message + " when reading image file") OSError: broken data stream when reading image file

It seems that there exist errors in your data files.