Spaces:
Runtime error
Runtime error
| # Portrait Photo Generator App | |
| # Imports | |
| from PIL import Image, ImageFilter | |
| import numpy as np | |
| from transformers import pipeline | |
| import gradio as gr | |
| import os | |
| model = pipeline("image-segmentation", model="facebook/detr-resnet-50-panoptic") | |
| pred = [] | |
| def img_resize(image): | |
| width = 1280 | |
| width_percent = (width / float(image.size[0])) | |
| height = int((float(image.size[1]) * float(width_percent))) | |
| return image.resize((width, height)) | |
| def image_objects(image): | |
| global pred | |
| image = img_resize(image) | |
| pred = model(image) | |
| pred_object_list = [str(i)+'_'+x['label'] for i, x in enumerate(pred)] | |
| return gr.Dropdown.update(choices = pred_object_list, interactive = True) | |
| def get_seg(image): | |
| image = img_resize(image) | |
| pred = model(image) | |
| pred_object_list = [str(i)+'_'+x['label'] for i, x in enumerate(pred)] | |
| seg_box=[] | |
| for i in range(len(pred)): | |
| #object_number = int(object.split('_')[0]) | |
| mask_array = np.asarray(pred[i]['mask'])/255 | |
| image_array = np.asarray(image) | |
| mask_array_three_channel = np.zeros_like(image_array) | |
| mask_array_three_channel[:,:,0] = mask_array | |
| mask_array_three_channel[:,:,1] = mask_array | |
| mask_array_three_channel[:,:,2] = mask_array | |
| segmented_image = image_array*mask_array_three_channel | |
| seg_out=segmented_image.astype(np.uint8) | |
| seg_box.append(seg_out) | |
| return(seg_box,gr.Dropdown.update(choices = pred_object_list, interactive = True)) | |
| app = gr.Blocks() | |
| with app: | |
| gr.Markdown( | |
| """ | |
| ## Image Dissector | |
| """) | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Markdown( | |
| """ | |
| ### Input Image | |
| """) | |
| image_input = gr.Image(type="pil") | |
| with gr.Row(): | |
| with gr.Column(): | |
| object_output = gr.Dropdown(label="Select Object From Dropdown") | |
| with gr.Row(): | |
| with gr.Column(): | |
| seg_btn = gr.Button(label="Run") | |
| gal1=gr.Gallery(type="filepath").style(grid=4) | |
| seg_btn.click(get_seg, inputs=[image_input,object_output], outputs=gal1) | |
| image_input.change(get_seg, inputs=[image_input], outputs=[gal1,object_output]) | |
| #image_input.change(fn=image_objects,inputs=image_input,outputs=object_output) | |
| app.launch() |