Commit 
							
							·
						
						23e4ec1
	
1
								Parent(s):
							
							78efa10
								
support rgba pngs
Browse files
    	
        app.py
    CHANGED
    
    | @@ -35,7 +35,7 @@ def check_input_image(input_image): | |
| 35 | 
             
                    raise gr.Error("No image uploaded!")
         | 
| 36 |  | 
| 37 |  | 
| 38 | 
            -
            def preprocess( | 
| 39 | 
             
                def fill_background(image):
         | 
| 40 | 
             
                    image = np.array(image).astype(np.float32) / 255.0
         | 
| 41 | 
             
                    image = image[:, :, :3] * image[:, :, 3:4] + (1 - image[:, :, 3:4]) * 0.5
         | 
| @@ -43,11 +43,12 @@ def preprocess(image_path, do_remove_background, foreground_ratio): | |
| 43 | 
             
                    return image
         | 
| 44 |  | 
| 45 | 
             
                if do_remove_background:
         | 
| 46 | 
            -
                    image =  | 
|  | |
| 47 | 
             
                    image = resize_foreground(image, foreground_ratio)
         | 
| 48 | 
             
                    image = fill_background(image)
         | 
| 49 | 
             
                else:
         | 
| 50 | 
            -
                    image =  | 
| 51 | 
             
                    if image.mode == "RGBA":
         | 
| 52 | 
             
                        image = fill_background(image)
         | 
| 53 | 
             
                return image
         | 
| @@ -74,8 +75,9 @@ with gr.Blocks() as demo: | |
| 74 | 
             
                        with gr.Row():
         | 
| 75 | 
             
                            input_image = gr.Image(
         | 
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                                label="Input Image",
         | 
|  | |
| 77 | 
             
                                sources="upload",
         | 
| 78 | 
            -
                                type=" | 
| 79 | 
             
                                elem_id="content_image",
         | 
| 80 | 
             
                            )
         | 
| 81 | 
             
                            processed_image = gr.Image(label="Processed Image", interactive=False)
         | 
|  | |
| 35 | 
             
                    raise gr.Error("No image uploaded!")
         | 
| 36 |  | 
| 37 |  | 
| 38 | 
            +
            def preprocess(input_image, do_remove_background, foreground_ratio):
         | 
| 39 | 
             
                def fill_background(image):
         | 
| 40 | 
             
                    image = np.array(image).astype(np.float32) / 255.0
         | 
| 41 | 
             
                    image = image[:, :, :3] * image[:, :, 3:4] + (1 - image[:, :, 3:4]) * 0.5
         | 
|  | |
| 43 | 
             
                    return image
         | 
| 44 |  | 
| 45 | 
             
                if do_remove_background:
         | 
| 46 | 
            +
                    image = input_image.convert("RGB")
         | 
| 47 | 
            +
                    image = remove_background(image, rembg_session)
         | 
| 48 | 
             
                    image = resize_foreground(image, foreground_ratio)
         | 
| 49 | 
             
                    image = fill_background(image)
         | 
| 50 | 
             
                else:
         | 
| 51 | 
            +
                    image = input_image
         | 
| 52 | 
             
                    if image.mode == "RGBA":
         | 
| 53 | 
             
                        image = fill_background(image)
         | 
| 54 | 
             
                return image
         | 
|  | |
| 75 | 
             
                        with gr.Row():
         | 
| 76 | 
             
                            input_image = gr.Image(
         | 
| 77 | 
             
                                label="Input Image",
         | 
| 78 | 
            +
                                image_mode="RGBA",
         | 
| 79 | 
             
                                sources="upload",
         | 
| 80 | 
            +
                                type="pil",
         | 
| 81 | 
             
                                elem_id="content_image",
         | 
| 82 | 
             
                            )
         | 
| 83 | 
             
                            processed_image = gr.Image(label="Processed Image", interactive=False)
         | 
 
			
