scipy matplotlib Pillow tqdm requests torch
你可以通过填写KEY和URL快捷地调用GPT视觉模型进行识别和打标。
该项目是我个人对 GPT4V-Image-Captioner repository(https://github.com/jiayev/GPT4V-Image-Captioner) 项目的移植。
感谢GPT4V-Image-Captioner的原作者们。
The project automatically handles image processing, eliminating the need for manual scaling.
To utilize GPT4V for image annotation, you need to provide the API key and API URL.
The seed value determines the consistency of the labeling process. If the seed and image remain unchanged, there will be no additional calls to OpenAI for labeling.
If you are not satisfied with the labeling results, you can modify the seed value to get different outputs.
There are two prompt types available: “generic” and “figure”.
Under the “figure” type, labels will exclude color terms, backgrounds, watermarks, signatures, etc., focusing only on the overall characteristics of the characters.
The option to enable weights for labels is available.
When weights are enabled, corresponding weight values will be assigned to the labels.
If there are specific words in the labels that you want to exclude, you can enter them in the “exclude_words” field.
The system will automatically exclude the specified words from the generated labels.