Comments (6)
完整的报错信息:
Traceback (most recent call last):
File "E:\Research\yolov5_research-master\yolov5_research-master\train.py", line 641, in
main(opt)
File "E:\Research\yolov5_research-master\yolov5_research-master\train.py", line 535, in main
train(opt.hyp, opt, device, callbacks)
File "E:\Research\yolov5_research-master\yolov5_research-master\train.py", line 354, in train
results, maps, _ = validate.run(data_dict,
File "D:\Users\cayce\anaconda3\envs\pytorch\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "E:\Research\yolov5_research-master\yolov5_research-master\val.py", line 211, in run
preds, train_out = model(im) if compute_loss else (model(im, augment=augment), None)
File "D:\Users\cayce\anaconda3\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "E:\Research\yolov5_research-master\yolov5_research-master\models\yolo.py", line 1088, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "E:\Research\yolov5_research-master\yolov5_research-master\models\yolo.py", line 943, in _forward_once
x = m(x) # run
File "D:\Users\cayce\anaconda3\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "E:\Research\yolov5_research-master\yolov5_research-master\models\yolo.py", line 270, in forward
self.grid[i], self.anchor_grid[i] = self._make_grid(nx, ny, i)
TypeError: _make_grid() takes from 0 to 2 positional arguments but 3 were given
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收到 不过我要晚些 才能测试调试
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收到 不过我要晚些 才能测试调试
好的,谢谢大佬!
from yolo_research.
收到 不过我要晚些 才能测试调试
好的,谢谢大佬!
你好,我今天有时间 我看了下问题就是函数定义问题,这里是我融入了代码整合的问题,所以我按照V7的函数定义先修正了,BUG是没有了 近期我在做数字孪生的交叉业务比较忙 我后续会更新V8的核心代码 谢谢你的反馈
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还有那个CHECK的信息其实不影响你使用的 你不用管就行了 它异常就返回空
from yolo_research.
还有那个CHECK的信息其实不影响你使用的 你不用管就行了 它异常就返回空
好的,谢谢!
from yolo_research.
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