-
now the output is polygon as blew:
![image](https://user-images.githubusercontent.com/20828244/174148145-175128a9-7eba-4805-904d-c9cec74a2c74.png)
and the result in json file is:
![image](https…
-
-
# PaddleOCR社区常规赛
PaddleOCR社区常规赛是面向所有开发者举办的积分赛事,提供多层次多维度的开放式赛题,并为优秀的社区项目给予物质与精神的多重奖励。
基于PaddleOCR进行二次开发的 **_绝大多数项目或贡献都可通过社区常规赛获得积分与奖励_** 。我们鼓励开发者实现自己的想法,也希望正在学习中的开发者在常规赛题中找到实现的方向。
最终社区项目将会收录在Paddl…
-
FCENet with dcvn2 leads to loss beeing NaN.
If instead FCNet without dcnv2 is used it starts out with loss beeing a number but after a couple of epoch it also is NaN.
**Reproduction**
I will …
-
为啥我测试的只有5.8fps。 如果说减小输入图片尺寸,那不是性能也会下降么。 为啥我测的5.8fps和您之前报道的20fps相差这么大呀
![-5baf53f8fff9dc9f](https://user-images.githubusercontent.com/68067132/162347960-2f89f76d-609e-46a3-a5cc-15381f86e616.png)
-
**Abstract:**
I followed MMOCR Documentation reproduce the CTW1500 and Icdar 2015 emperiments, and followed the ctw1500 config create Total-text. Download Total-text imgs and annotations(.txt) f…
-
Hi:
I have a text detection datasets which includes ~326 images and 80% are for training and 20% for testing. I adapted the example dbnet configuration for the training. I used 50 epochs just to chec…
-
-
Hi, I train FCENet on ICDAR2015 but get NaN for all the losses. The training seems proper on CTW1500. Is there anything wrong?
-
为啥代码head中的每一部分只有一个3✖️3卷积呢,而论文说的是3个