Wenchao Ding

> 没结果呢

@Monkey-D-Luffy-star @violet2422 我大概知道怎么回事了， YOLOv5中的计算量计算方式与resnet中的不同，前者为FLOPs， 后者为 MACs， 两者计算量差别约为2：1，主要差别在卷积每个位置运算时记作两次还是一次，没有对错只要声明即可，详情可见https://github.com/ultralytics/yolov5/issues/3521 本文作者应该是为了便于比较其他人脸算法，选择了MACs式的计算量，其实这个使用更加广泛 使用thop库，计算计算量需要将得到的计算量 *2 即为YOLOv5中使用的 在YOLOv5 utils/torch_utils.py可以看到 flops = profile(deepcopy(model), inputs=(img,), verbose=False)[0] / 1E9 * 2 # stride GFLOPs 下附计算量 计算代码 import torch import...

hi, we have proposed a method for rapid 'segment anything', using just 2% of the SA-1B dataset. It achieves precision comparable to SAM in edge detection (AP, .794 vs .793)...

hi, we have proposed a method for rapid 'segment anything', using just 2% of the SA-1B dataset. It achieves precision comparable to SAM in edge detection (AP, .794 vs .793)...

hi, we have proposed a method for rapid 'segment anything', using just 2% of the SA-1B dataset. It achieves precision comparable to SAM in edge detection (AP, .794 vs .793)...

Thank you for your suggestion! We are delighted to add FastSAM to the Ultralytics models HUB for wider use. We will get to work on this as soon as possible.

The issue you're encountering seems to be specific to macOS. Matplotlib uses a different backend renderer by default on macOS, which can cause inconsistencies with the image size. You can...

Hello @NTUZZH , thank you for your attention to our work. I'm sorry, there was a bug when we used the matplotlib library to draw the mask. **This issue has...

Hi @jerinka , using images as templates for queries is indeed an important feature. However, we currently don't have any plans to implement this. If you have any ideas or...

Hi @dumppool , this seems like an error from PyTorch. May I ask what your PyTorch version is? Could you provide the code or commands that you executed for our...