Choas

Is the Flops calulated wrong?

2

https://github.com/microsoft/Swin-Transformer/blob/2622619f70760b60a42b996f5fcbe7c9d2e7ca57/models/swin_transformer.py#L583 ``` where self.avgpool=self.norm: self.num_features * self.patches_resolution[0] * self.patches_resolution[1] // ((2 ** (self.num_layers - 1)) ** 2) so flops += self.num_features * self.patches_resolution[0] * self.patches_resolution[1] // (2 ** self.num_layers) //...

SP_GoogleNet_ImageNet.pt model error?

3

``` model_path = os.path.join(DATA_ROOT, 'SP_GoogleNet_ImageNet.pt') model_dict = utils.load_model_imagenet(model_path) ``` ``` --------------------------------------------------------------------------- ValueError Traceback (most recent call last) in () 1 model_path = os.path.join(DATA_ROOT, 'SP_GoogleNet_ImageNet.pt') ----> 2 model_dict = utils.load_model_imagenet(model_path) ~/choas/method/SPN.pytorch/demo/experiment/util.py...

13.7％ mAP

13

I follow your instruction，but I only get 13.7% mAP on the test2007. If I change the test source，I can get 75% mAP on the trainval.

` if (mirror) { box_label.box_[0] = std::max(0., 1. - box_label.box_[0]); box_label.box_[1] = std::max(0., 1. - box_label.box_[1]); }` Filp by Y axis. Is the code incorrect? I think that we just...