Krasjet-Yu / YOLO-FaceV2

YOLO-FaceV2: A Scale and Occlusion Aware Face Detector
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MultiSEAM加到yolov7中报错 #32

Open gitdjz opened 1 year ago

gitdjz commented 1 year ago

大佬,这是咋回事啊? Traceback (most recent call last): File "D:\PycharmProjects\yolov7\models\yolo.py", line 892, in model = Model(opt.cfg).to(device) File "D:\PycharmProjects\yolov7\models\yolo.py", line 547, in init m.stride = torch.tensor([s / x.shape[-2] for x in self.forward(torch.zeros(1, ch, s, s))]) # forward File "D:\PycharmProjects\yolov7\models\yolo.py", line 602, in forward return self.forward_once(x, profile) # single-scale inference, train File "D:\PycharmProjects\yolov7\models\yolo.py", line 628, in forward_once x = m(x) # run File "D:\condaenv\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl return forward_call(*input, kwargs) File "D:\PycharmProjects\yolov7\models\common.py", line 3033, in forward y0 = self.DCovN0(x) File "D:\condaenv\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl return forward_call(*input, *kwargs) File "D:\condaenv\pytorch\lib\site-packages\torch\nn\modules\container.py", line 141, in forward input = module(input) File "D:\condaenv\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl return forward_call(input, kwargs) File "D:\condaenv\pytorch\lib\site-packages\torch\nn\modules\batchnorm.py", line 168, in forward return F.batch_norm( File "D:\condaenv\pytorch\lib\site-packages\torch\nn\functional.py", line 2419, in batch_norm _verify_batch_size(input.size()) File "D:\condaenv\pytorch\lib\site-packages\torch\nn\functional.py", line 2387, in _verify_batch_size raise ValueError("Expected more than 1 value per channel when training, got input size {}".format(size)) ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 256, 1, 1])

liiicon commented 7 months ago

请问你解决了嘛