Zhonghan Deng

Results 18 issues of Zhonghan Deng

Hello there, Thanks for the conritbution. I am new to this repVgg block. As I know, this kind of architecture will be modified to self.rbr_reparam when predicting. But in your...

Hello Author: Thanks for your contribution. I have downloaded the pth file mentioned in README.md. I used it in models.py script but got below errors. ![image](https://user-images.githubusercontent.com/61330860/163558013-8fb02953-3ef3-4294-af6d-e434ddcf65c3.png) Any help will be...

Hello there, I could not understand this piece of code. def indices_of_top_k(arr, k): return np.sort(np.argpartition(np.array(arr), -k)[-k:]) Can't we just use argsort() instead? Thanks for your help.

### Search before asking - [X] I have searched the YOLOv3 [issues](https://github.com/ultralytics/yolov3/issues) and [discussions](https://github.com/ultralytics/yolov3/discussions) and found no similar questions. ### Question Hello author, Thanks for your contribution. I have some...

question

Hello there, I am currently working on a project that is trying to segment the microscope image. So most of our pics are in tif format. Does this model accept...

https://github.com/aladdinpersson/Machine-Learning-Collection/blob/ac5dcd03a40a08a8af7e1a67ade37f28cf88db43/ML/Pytorch/object_detection/YOLOv3/dataset.py#L73 Hello author, Thanks for your contribution. Let us say if the highest IOU's scale is 13, then we will assign 1 as the objectness score. When iterating to another...

Hello author, Thanks for your contribution. I would like to train a rotated object detection model using your architecture. Is it ok if I use the trained model without Docker.

Hello there, I would like to ask if there are any requirements on the size of the picture, the shape of the picture, and the color channel of the pic?...

Hello author, I got the below error while running the code. Do you have any idea about it? ` raise RuntimeError(''' RuntimeError: An attempt has been made to start a...

Hello there, After learning your code, I still have some doubts. If one label has a chance to appear in each layer(13 13, 26 26, 52 52) and many anchors....