Add a column of data about clocs HOT 11 CLOSED

感谢您的建议，我已经成功解决了我的问题，真的非常感谢您的建议！

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Hello @xuV2 . If one needs to add more channels (or modify the number of channels), these places below need to be modified:
(1)you also need to modify the build_stage2_training function below, add another colum in variable "overlaps".

My apology to hardcoded these information. I'll update the repo later to remove these hardcoded value.

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Hello! @pangsu0613 First of all, thank you for your prompt reply. But I have changed the code you mentioned, but when the code runs to train.py(line 279) during training, it will still make mistakes.When I delete 279 lines, the code can be trained.
CLOCs/blob/master/second/pytorch/train.py
279 mixed_optimizer.step()

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The reason for the error is
RuntimeError: The size of tensor a (4) must match the size of tensor b (5) at non-singleton dimension 1

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mixed_optimizer.step() should not be deleted. Could you show me the whole error message?

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Traceback (most recent call last):
File "./pytorch/train.py", line 985, in
fire.Fire()
File "/root/anaconda3/envs/CLOCs/lib/python3.6/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/root/anaconda3/envs/CLOCs/lib/python3.6/site-packages/fire/core.py", line 471, in Fire
target=component.name)
File "/root/anaconda3/envs/CLOCs/lib/python3.6/site-packages/fire/core.py", line 681, in CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "./pytorch/train.py", line 431, in train
raise e
File "./pytorch/train.py", line 336, in train
mixed_optimizer.step() # 这句话有问题 # 通过梯度下降更新参数
File "/root/CLOCs/torchplus/train/fastai_optim.py", line 136, in step
self.opt.step() # 有问题
File "/root/anaconda3/envs/CLOCs/lib/python3.6/site-packages/torch/optim/adam.py", line 93, in step
exp_avg.mul(beta1).add(1 - beta1, grad)
RuntimeError: The size of tensor a (4) must match the size of tensor b (5) at non-singleton dimension 1

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did you change the "4" at line 521 and line 524 in voxelnet.py?

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iou_test_tensor = iou_test_tensor.reshape(1, 5, 1, 900000) # 原来是4
# print(iou_test_tensor.shape) (1, 5, 1, 900000)
tensor_index_tensor = tensor_index_tensor.reshape(-1, 2)
if max_num == 0:
non_empty_iou_test_tensor = torch.zeros(1, 5, 1, 2)
non_empty_iou_test_tensor[:, :, :, :] = -1
non_empty_tensor_index_tensor = torch.zeros(2, 2)
non_empty_tensor_index_tensor[:, :] = -1
else:
non_empty_iou_test_tensor = iou_test_tensor[:, :, :, :max_num]
# print(non_empty_iou_test_tensor.shape) # torch.Size([1, 5, 1, 313987])
non_empty_tensor_index_tensor = tensor_index_tensor[:max_num, :]

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could you delete all the files in the working directory (including the adam_optimizer-xxxx.tckpt and other files)?

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I'm sorry I don't have this ability. I'm just a novice.😭

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when you run training in the terminal:
python ./pytorch/train.py train --config_path=./configs/car.fhd.config --model_dir=/dir/to/your_model_dir
you create a model directory (--model_dir=/dir/to/your_model_dir), just delete everything in that directory.

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