tackhwa

Results 11 issues of tackhwa

This is a Rabin-Karp Algorithm for Pattern Searching ### **Describe your change:** - [x] Add an algorithm? - [ ] Fix a bug or typo in an existing algorithm? -...

## Motivation Translate the documents of SlowFast & SlowOnly README document into Chinese ## Modification add `configs/detection/slowfast/README_zh-CN.md` add `configs/detection/slowonly/README_zh-CN.md` ## Checklist 1. Pre-commit or other linting tools should be used...

the configs file for mobilenetv3 is using "schedule_160k.py" , which is not fulfill training setting in [this link](https://github.com/tackhwa/mmsegmentation/blob/main/configs/mobilenet_v3/README.md). It should be 320k iterations instead of 160k. and the "Runner" is...

- Since the backbone in cofiguration file contain `_delete_=True`,it should be `model.merge()` instead of `model.update()`, or else the backbone will inherit other hyperparameter from `with read_base()` and cause error as...

- The Configs file had been tested, all the training can be run properly and the inference result is same as result in [this link](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/maskformer) - Training for `maskformer_r50_d32_8xb2_160k_ade20k_512x512.py` ![unnamed](https://github.com/open-mmlab/mmsegmentation/assets/55059307/3b250043-29da-4194-a71f-16245f6e44da)...

- The Configs file had been tested, all the training can be run properly and the inference result is same as result in [this link](https://github.com/open-mmlab/mmsegmentation/blob/main/configs/mobilenet_v3/README.md) - Training for `mobilenet_v3_d8_s_lraspp_4xb4-320k_cityscapes_512x1024.py` ![unnamed](https://github.com/open-mmlab/mmsegmentation/assets/55059307/a5624dc3-7c84-4deb-871b-4c157e1fcf8d)...

- new support feature is as title, google serper api had been refractor so that the response return by the function is having consistent formatting and will not throw an...

- tested on `MME` dataset ![c575b731fb648d324a4f1e511bd4080](https://github.com/user-attachments/assets/b50523a9-828b-4d0c-bc9f-b7849d7e4fd6) `observation`: It seems that Kosmos2 does not pre-train well with strong knowledge, resulting in poor performance on datasets that require extensive knowledge (testes with...