mafeng

Results 11 comments of mafeng

> ![图像](https://user-images.githubusercontent.com/16940225/104158329-0db01280-5428-11eb-8ce2-034ee6ce00c3.png) 1、有底纹时,分割不准。2、负数情况需要添加字符识别。3、表盘浓度过高,识别有错。 ![图像](https://user-images.githubusercontent.com/16940225/104158455-5962bc00-5428-11eb-9e60-7a8374a69b68.png) 存在问题: 1、指针仪表盘为倾斜状态 2、仪表刻度有负数如何解决

(base) D:\软件安装\labelme\cvat-2.14.4>labelme 2024-06-28 11:58:14,133 [INFO ] __init__:get_config:67- Loading config file from: C:\Users\Administrator\.labelmerc Traceback (most recent call last): File "D:\Anaconda3\lib\site-packages\labelme\widgets\canvas.py", line 973, in keyReleaseEvent index = self.shapes.index(self.selectedShapes[0]) ValueError: is not in...

![error1](https://github.com/user-attachments/assets/4129e142-d039-4a76-8159-88f67ddf1144) Use the smaller image as a template and match it to determine where in the larger image. Match error, what method can solve

> ![错误1](https://private-user-images.githubusercontent.com/105204620/351591116-4129e142-d039-4a76-8159-88f67ddf1144.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MjE4ODY3NjcsIm5iZiI6MTcyMTg4NjQ2NywicGF0aCI6Ii8xMDUyMDQ2MjAvMzUxNTkxMTE2LTQxMjllMTQyLWQwMzktNGE3Ni04MTU5LTg4ZjY3ZGRmMTE0NC5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNzI1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDcyNVQwNTQ3NDdaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1iZTQ3MWFkOTg3YjcyYTdhZDNlYzViOTA0MTczMjFiNmI3YWNlNjQwZTFiZjllODk2YjZjYWUyNmIzODBkM2FhJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.do3ekwAT7mpej9muixO2MQ5J_Vr3QnHsaR5REJITGlA) 使用较小的图像作为模板,匹配以确定较大图像中的位置。匹配错误,有什么方法可以解决 Who can help me answer this question, thank you very much

> 到底哪里出了问题? python versions, torch versions are always problematic, so I wanted to provide a reference environment

![image](https://github.com/user-attachments/assets/e027b055-44a4-4182-887b-a4d9afb291a4) ![image2](https://github.com/user-attachments/assets/5daa5bdf-2ec7-4b5a-a9ca-be1af9818ca6) I am also eager to know how to generate such images using match_keypoints?

> 你好,我今年夏天不在家,九月初会带着一些演示回来。 Special look forward to, excellent algorithm let people worship. I hope to see a detailed explanation then, thank you

I found that the algorithm did not work well for small objects and was not rotation invariant. Is there any solution?

> 上述问题似乎与[map_location 参数](https://stackoverflow.com/questions/53186736/runtimeerror-attempting-to-deserialize-object-on-cuda-device-2-but-torch-cuda-d)有关,为了解决:替换[此处](https://github.com/UditSinghParihar/RoRD/blob/main/lib/model_test.py#L62)的 行`self.load_state_dict(torch.load(model_file)['model'])`[](https://github.com/UditSinghParihar/RoRD/blob/main/lib/model_test.py#L62) > > 和 : `self.load_state_dict(torch.load(model_file, map_location='cuda:0')['model'])` > > 如果有帮助的话请告诉我:) Solved thanks