| |
| |
|
|
| import gradio as gr |
| import os |
| import cv2 |
|
|
| def inference(file, mask, model): |
| im = cv2.imread(file, cv2.IMREAD_COLOR) |
| cv2.imwrite(os.path.join("input.png"), im) |
|
|
| from rembg import new_session, remove |
|
|
| input_path = 'input.png' |
| output_path = 'output.png' |
|
|
| with open(input_path, 'rb') as i: |
| with open(output_path, 'wb') as o: |
| input = i.read() |
| output = remove( |
| input, |
| session = new_session(model), |
| only_mask = (True if mask == "Mask only" else False) |
| ) |
| |
| |
| |
| o.write(output) |
| return os.path.join("output.png") |
| |
| title = "RemBG" |
| description = "Gradio demo for RemBG. To use it, simply upload your image and wait. Read more at the link below." |
| article = "<p style='text-align: center;'><a href='https://github.com/danielgatis/rembg' target='_blank'>Github Repo</a></p>" |
|
|
|
|
| gr.Interface( |
| inference, |
| [ |
| gr.inputs.Image(type="filepath", label="Input"), |
| gr.inputs.Radio( |
| [ |
| "Default", |
| "Mask only" |
| ], |
| type="value", |
| default="Default", |
| label="Choices" |
| ), |
| gr.inputs.Dropdown([ |
| "u2net", |
| "u2netp", |
| "u2net_human_seg", |
| "u2net_cloth_seg", |
| "silueta", |
| "isnet-general-use", |
| "isnet-anime", |
| "sam", |
| ], |
| type="value", |
| default="isnet-general-use", |
| label="Models" |
| ), |
| ], |
| gr.outputs.Image(type="filepath", label="Output"), |
| title=title, |
| description=description, |
| article=article, |
| examples=[["lion.png", "Default", "u2net"], ["girl.jpg", "Default", "u2net"], ["anime-girl.jpg", "Default", "isnet-anime"]], |
| enable_queue=True |
| ).launch() |
