Traceback (most recent call last):
File "D:/yolov7-seg/yolov7-segmentation-main/segment/train.py", line 681, in
main(opt)
File "D:/yolov7-seg/yolov7-segmentation-main/segment/train.py", line 577, in main
train(opt.hyp, opt, device, callbacks)
File "D:/yolov7-seg/yolov7-segmentation-main/segment/train.py", line 295, in train
for i, (imgs, targets, paths, _, masks) in pbar: # batch ------------------------------------------------------
File "D:\Anaconda3\envs\yolov7\lib\site-packages\tqdm\std.py", line 1178, in iter
for obj in iterable:
File "D:\yolov7-seg\yolov7-segmentation-main\utils\dataloaders.py", line 171, in iter
yield next(self.iterator)
File "D:\Anaconda3\envs\yolov7\lib\site-packages\torch\utils\data\dataloader.py", line 530, in next
data = self._next_data()
File "D:\Anaconda3\envs\yolov7\lib\site-packages\torch\utils\data\dataloader.py", line 570, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "D:\Anaconda3\envs\yolov7\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\Anaconda3\envs\yolov7\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\yolov7-seg\yolov7-segmentation-main\utils\segment\dataloaders.py", line 167, in getitem
masks = (torch.from_numpy(masks) if len(masks) else torch.zeros(1 if self.overlap else nl, img.shape[0] //
TypeError: can't convert np.ndarray of type numpy.uint16. The only supported types are: float64, float32, float16, complex64, complex128, int64, int32, int16, int8, uint8, and bool.请问b导遇见过这种问题吗
如题,在检测框出物体后可以进行实例分割。我看官方源代码中有相关拓展,B导可以加入到这个项目里吗?