typeError: Unsupported format:color

[justinday123]

hi. i got on error, but i have no idea to fix it. Traceback (most recent call last): File "tools/train.py", line 288, in main() File "tools/train.py", line 277, in main train_model( File "/workspace/HoP/mmdet3d/apis/train.py", line 344, in train_model train_detector( File "/workspace/HoP/mmdet3d/apis/train.py", line 319, in train_detector runner.run(data_loaders, cfg.workflow) File "/opt/conda/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 130, in run epoch_runner(data_loaders[i], **kwargs) File "/opt/conda/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 47, in train for i, data_batch in enumerate(self.data_loader): File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 517, in next data = self._next_data() File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1199, in _next_data return self._process_data(data) File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1225, in _process_data data.reraise() File "/opt/conda/lib/python3.8/site-packages/torch/_utils.py", line 429, in reraise raise self.exc_type(msg) TypeError: Caught TypeError in DataLoader worker process 0. Original Traceback (most recent call last): File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 202, in _worker_loop data = fetcher.fetch(index) File "/opt/conda/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 "/opt/conda/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 "/workspace/HoP/mmdet3d/datasets/custom_3d.py", line 435, in getitem data = self.prepare_train_data(idx) File "/workspace/HoP/mmdet3d/datasets/custom_3d.py", line 229, in prepare_train_data example = self.pipeline(input_dict) File "/workspace/HoP/mmdet3d/datasets/pipelines/compose.py", line 49, in call data = t(data) File "/workspace/HoP/mmdet3d/datasets/pipelines/loading.py", line 1130, in call results['img_inputs'] = self.get_inputs(results) File "/workspace/HoP/mmdet3d/datasets/pipelines/loading.py", line 1019, in get_inputs img = self.load_image(filename) File "/workspace/HoP/mmdet3d/datasets/pipelines/loading.py", line 1151, in load_image img_array = load_fun(filename, color_type) File "/opt/conda/lib/python3.8/site-packages/mmcv/fileio/io.py", line 51, in load raise TypeError(f'Unsupported format: {file_format}') TypeError: Unsupported format: color

[CaraJ7]

Hi @justinday123 , thanks for your feedback.

We fix the bug. It should work fine now. Please refer to #8 for more details.

[justinday123]

i got an another issue Traceback (most recent call last): File "tools/train.py", line 288, in main() File "tools/train.py", line 277, in main train_model( File "/workspace/hyundai/HoP/mmdet3d/apis/train.py", line 344, in train_model train_detector( File "/workspace/hyundai/HoP/mmdet3d/apis/train.py", line 319, in train_detector runner.run(data_loaders, cfg.workflow) File "/opt/conda/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 136, in run epoch_runner(data_loaders[i], kwargs) File "/opt/conda/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 53, in train self.run_iter(data_batch, train_mode=True, kwargs) File "/opt/conda/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 31, in run_iter outputs = self.model.train_step(data_batch, self.optimizer, File "/opt/conda/lib/python3.8/site-packages/mmcv/parallel/data_parallel.py", line 77, in train_step return self.module.train_step(inputs[0], kwargs[0]) File "/opt/conda/lib/python3.8/site-packages/mmdet/models/detectors/base.py", line 248, in train_step losses = self(data) File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(input, *kwargs) File "/opt/conda/lib/python3.8/site-packages/mmcv/runner/fp16_utils.py", line 116, in new_func return old_func(args, kwargs) File "/workspace/hyundai/HoP/mmdet3d/models/detectors/base.py", line 60, in forward return self.forward_train(kwargs) File "/workspace/hyundai/HoP/mmdet3d_plugin/hop/detectors/hop_bevdet.py", line 399, in forward_train img_feats, pts_feats, depth, prev_feats = self.extract_feat( File "/workspace/hyundai/HoP/mmdet3d_plugin/hop/detectors/hop_bevdet.py", line 184, in extract_feat img_feats, depth, prev_feats = self.extract_img_feat(img, img_metas, kwargs) File "/workspace/hyundai/HoP/mmdet3d_plugin/hop/detectors/hop_bevdet.py", line 231, in extract_img_feat bev_feat, depth = self.prepare_bev_feat(inputs_curr) File "/workspace/hyundai/HoP/mmdet3d_plugin/hop/detectors/hop_bevdet.py", line 142, in prepare_bev_feat bev_feat, depth = self.img_view_transformer( File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(input, kwargs) File "/workspace/hyundai/HoP/mmdet3d/models/necks/view_transformer.py", line 697, in forward return self.view_transform(input, depth, tran_feat) File "/workspace/hyundai/HoP/mmdet3d/models/necks/view_transformer.py", line 285, in view_transform return self.view_transform_core(input, depth, tran_feat) File "/workspace/hyundai/HoP/mmdet3d/models/necks/view_transformer.py", line 276, in view_transform_core coor = self.get_lidar_coor(*input[1:7]) File "/workspace/hyundai/HoP/mmdet3d/models/necks/view_transformer.py", line 132, in get_lidar_coor points = torch.inverse(post_rots).view(B, N, 1, 1, 1, 3, 3)\ RuntimeError: CUDA error: operation not supported when calling cusparseCreate(handle)

how could i solve it? i'm using CUDA 11.1

[CaraJ7]

Hi, the problem seems to be related to your environment. Maybe this link can be of help.