Comments (2)
Traceback (most recent call last):
File "demo.py", line 109, in
out = net(img)
File "/data8T/lsq/anaconda3/envs/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/data8T/lsq/detection/M2Det/m2det.py", line 112, in forward
(self.reduce(base_feats[0]), F.interpolate(self.up_reduce(base_feats[1]),scale_factor=2,mode='nearest')),1
AttributeError: module 'torch.nn.functional' has no attribute 'interpolate'
我也是这个问题,你有解决吗?
pytorch 版本从0.4.0 改成0.4.1 就可以了
from m2det.
版本问题吧,我的pytorch==1.0.1.post2没有问题
from m2det.
Related Issues (20)
- I wrote how to run on mac os.
- The test for coco2017 and get mAP 0.0? model is m2det512_vgg.pth
- Someone have test result on VOC2007 ? HOT 5
- train error HOT 5
- 论文中有一处错误
- Are you using batch size 8 for bn update?
- Why adjust_learning_rate() only refers to step_lr of COCO? HOT 1
- can anyone explain what is the loss_L and loss_c in the training results ? HOT 1
- AttributeError: 'CustomDataset' object has no attribute 'evaluate_detections'AttributeError: 'CustomDataset' object has no attribute 'evaluate_detections'
- Two question about upsample process
- error when run demo.py
- RuntimeError: all tensors must be on devices[0] HOT 1
- mAP精度问题
- On which dataset was m2det512_vgg.pth trained?
- Hard Negative Mining problem
- demo | qt.qpa.xcb: could not connect to display HOT 1
- Does anyone have the weight of resnet101 HOT 1
- File "home/CLNet/main.py", line 87, in <module> main () File "home/CLNet/main.py", line 25, in main model = init_model(args) File "/content/drive/My Drive/home/CLNet/utils/init.py", line 51, in init_model model.load_state_dict(state_dict) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1407, in load_state_dict self.__class__.__name__, "\n\t".join(error_msgs))) RuntimeError: Error(s) in loading state_dict for CLNet: HOT 1
- GFLOPs!!!
- ImportError: /home/wdc/M2Det/utils/nms/gpu_nms.cpython-37m-x86_64-linux-gnu.so: undefined symbol: cudaSetupArgument
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from m2det.