NanoTrack为什么要将训练数据裁剪为271而不是pysot通用的511？ about siamtrackers HOT 4 CLOSED

NanoTrack的训练数据使用的是pysot通用的511

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试着直接加载先前pysot使用的数据集，没有对数据集重新裁剪，结果报错

Traceback (most recent call last):
File "C:\Users\xyz\PycharmProjects\NanoTrack\bin\train.py", line 301, in
main()
File "C:\Users\xyz\PycharmProjects\NanoTrack\bin\train.py", line 297, in main
train(train_loader, dist_model, optimizer, lr_scheduler, tb_writer)
File "C:\Users\xyz\PycharmProjects\NanoTrack\bin\train.py", line 165, in train
for idx, data in enumerate(train_loader):
File "C:\Users\xyz\Anaconda3\envs\tracking\lib\site-packages\torch\utils\data\dataloader.py", line 633, in next
data = self._next_data()
File "C:\Users\xyz\Anaconda3\envs\tracking\lib\site-packages\torch\utils\data\dataloader.py", line 1345, in _next_data
return self._process_data(data)
File "C:\Users\xyz\Anaconda3\envs\tracking\lib\site-packages\torch\utils\data\dataloader.py", line 1371, in _process_data
data.reraise()
File "C:\Users\xyz\Anaconda3\envs\tracking\lib\site-packages\torch_utils.py", line 644, in reraise
raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "C:\Users\xyz\Anaconda3\envs\tracking\lib\site-packages\torch\utils\data_utils\worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "C:\Users\xyz\Anaconda3\envs\tracking\lib\site-packages\torch\utils\data_utils\fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "C:\Users\xyz\Anaconda3\envs\tracking\lib\site-packages\torch\utils\data_utils\fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "C:\Users\xyz\PycharmProjects\NanoTrack\nanotrack\datasets\dataset.py", line 268, in getitem
cls, delta = self.point_target(bbox, cfg.TRAIN.OUTPUT_SIZE, neg)
File "C:\Users\xyz\PycharmProjects\NanoTrack\nanotrack\datasets\point_target.py", line 43, in call
delta[0] = points[0] - target[0]
ValueError: could not broadcast input array from shape (16,16) into shape (25,25)

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训练的时候输入的是255不是271

from siamtrackers.

训练的时候输入的是255不是271

@HonglinChu 你好，训练输入的大小可以替换成256吗，在模型推理阶段换成256和128的输入，这样会有什么影响吗

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