# remove-bg **Repository Path**: openstudy123/remove-bg ## Basic Information - **Project Name**: remove-bg - **Description**: 使用 remove.bg API 从图片中移除背景的 Python API 封装程序。 - **Primary Language**: Python - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2024-01-16 - **Last Updated**: 2024-05-27 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # remove-bg A Python API wrapper for removing backgrounds from picture using [remove.bg](https://www.remove.bg)'s [API](https://www.remove.bg/api). # License This code is licensed under the MIT License. See [here](https://github.com/brilam/remove-bg/blob/master/LICENSE) for more details. # Installation `pip install removebg` # Usage ## `remove_background_from_img_file` Removes the background given an image file. | Parameter | Default Value | Description | | ------------- | ------------- | ------------- | | img_file_path | req. param | path to the source image file | | size | `'regular'` | size of the output image (`'auto'` = highest available resolution, `'preview'`|`'small'`|`'regular'` = 0.25 MP, `'medium'` = 1.5 MP, `'hd'` = 4 MP, `'full'`|`'4k'` = original size) | | type | `'auto'` | foreground object (`'auto'` = autodetect, `'person'`, `'product'`, `'car'`) | | type_level | `'none'` | classification level of the foreground object (`'none'` = no classification, `'1'` = coarse classification (e.g. `'car'`), `'2'` = specific classification (e.g. `'car_interior'`), `'latest'` = latest classification) | | format | `'auto'` | image format (`'auto'` = autodetect, `'png'`, `'jpg'`, `'zip'`) | | roi | `'0 0 100% 100%'` | region of interest, where to look for foreground object (x1, y1, x2, y2) in px or relative (%) | | crop | `None` | px or relative, single val = all sides, two vals = top/bottom, left/right, four vals = top, right, bottom, left | | scale | `'original'` | image scale relative to the total image size | | position | `'original'` | `'center'`, `'original'`, single val = horizontal and vertical, two vals = horizontal, vertical | | channels | `'rgba'` | request the finalized image (`'rgba'`) or an alpha mask (`'alpha'`) | | shadow | `False` | whether to add an artificial shadow (some types aren't supported) | | semitransparency | `True` | semitransparency for windows or glass objects (some types aren't supported) | | bg | `None` | background (`None` = no background, path, url, color hex code (e.g. `'81d4fa'`, `'fff'`), color name (e.g. `'green'`)) | | bg_type | `None` | background type (`None` = no background, `'path'`, `'url'`, `'color'`) | | new_file_name | `'no-bg.png'` | file name of the result image | ### Code Example: ```python from removebg import RemoveBg rmbg = RemoveBg("YOUR-API-KEY", "error.log") rmbg.remove_background_from_img_file("joker.jpg") ``` ## `remove_background_from_img_url` Removes the background given an image URL. | Parameter | Default Value | Description | | ------------- | ------------- | ------------- | | img_url | req. param | URL to the source image | | size | `'regular'` | size of the output image (`'auto'` = highest available resolution, `'preview'`|`'small'`|`'regular'` = 0.25 MP, `'medium'` = 1.5 MP, `'hd'` = 4 MP, `'full'`|`'4k'` = original size) | type | `'auto'` | foreground object (`'auto'` = autodetect, `'person'`, `'product'`, `'car'`) | | type_level | `'none'` | classification level of the foreground object (`'none'` = no classification, `'1'` = coarse classification (e.g. `'car'`), `'2'` = specific classification (e.g. `'car_interior'`), `'latest'` = latest classification) | | format | `'auto'` | image format (`'auto'` = autodetect, `'png'`, `'jpg'`, `'zip'`) | | roi | `'0 0 100% 100%'` | region of interest, where to look for foreground object (x1, y1, x2, y2) in px or relative (%) | | crop | `None` | px or relative, single val = all sides, two vals = top/bottom, left/right, four vals = top, right, bottom, left | | scale | `'original'` | image scale relative to the total image size | | position | `'original'` | `'center'`, `'original'`, single val = horizontal and vertical, two vals = horizontal, vertical | | channels | `'rgba'` | request the finalized image (`'rgba'`) or an alpha mask (`'alpha'`) | | shadow | `False` | whether to add an artificial shadow (some types aren't supported) | | semitransparency | `True` | semitransparency for windows or glass objects (some types aren't supported) | | bg | `None` | background (`None` = no background, path, url, color hex code (e.g. `'81d4fa'`, `'fff'`), color name (e.g. `'green'`)) | | bg_type | `None` | background type (`None` = no background, `'path'`, `'url'`, `'color'`) | | new_file_name | `'no-bg.png'` | file name of the result image | ### Code Example: ```python from removebg import RemoveBg rmbg = RemoveBg("YOUR-API-KEY", "error.log") rmbg.remove_background_from_img_url("http://www.example.com/some_image.jpg") ``` ## `remove_background_from_base64_img` Removes the background given a base64 image string. | Parameter | Default Value | Description | | ------------- | ------------- | ------------- | | base64_img | req. param | base64 image string | | size | `'regular'` | size of the output image (`'auto'` = highest available resolution, `'preview'`|`'small'`|`'regular'` = 0.25 MP, `'medium'` = 1.5 MP, `'hd'` = 4 MP, `'full'`|`'4k'` = original size) | type | `'auto'` | foreground object (`'auto'` = autodetect, `'person'`, `'product'`, `'car'`) | | type_level | `'none'` | classification level of the foreground object (`'none'` = no classification, `'1'` = coarse classification (e.g. `'car'`), `'2'` = specific classification (e.g. `'car_interior'`), `'latest'` = latest classification) | | format | `'auto'` | image format (`'auto'` = autodetect, `'png'`, `'jpg'`, `'zip'`) | | roi | `'0 0 100% 100%'` | region of interest, where to look for foreground object (x1, y1, x2, y2) in px or relative (%) | | crop | `None` | px or relative, single val = all sides, two vals = top/bottom, left/right, four vals = top, right, bottom, left | | scale | `'original'` | image scale relative to the total image size | | position | `'original'` | `'center'`, `'original'`, single val = horizontal and vertical, two vals = horizontal, vertical | | channels | `'rgba'` | request the finalized image (`'rgba'`) or an alpha mask (`'alpha'`) | | shadow | `False` | whether to add an artificial shadow (some types aren't supported) | | semitransparency | `True` | semitransparency for windows or glass objects (some types aren't supported) | | bg | `None` | background (`None` = no background, path, url, color hex code (e.g. `'81d4fa'`, `'fff'`), color name (e.g. `'green'`)) | | bg_type | `None` | background type (`None` = no background, `'path'`, `'url'`, `'color'`) | | new_file_name | `'no-bg.png'` | file name of the result image | ### Code Example: ```python from removebg import RemoveBg import base64 rmbg = RemoveBg("YOUR-API-KEY", "error.log") with open("joker.jpg", "rb") as image_file: encoded_string = base64.b64encode(image_file.read()) rmbg.remove_background_from_base64_img(encoded_string) ``` # Contributions Contributions and feature requests are always welcome.