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| from openvino.runtime import Core | |
| import gradio as gr | |
| import numpy as np | |
| from PIL import Image | |
| def normalize(img): | |
| img=img.astype(np.float32) | |
| mean=(0.485, 0.456, 0.406) | |
| std=(0.229, 0.224, 0.225) | |
| img/=255.0 | |
| img-=mean | |
| img/std | |
| return img | |
| def segment_image(filepath): | |
| image=cv2.imread(filepath) | |
| image=cv2.cvtColor(image,cv2.COLOR_BGR2RGB) | |
| image = cv2.resize(image, (512,512)) | |
| x=tfms(image.copy()/255.) | |
| #ort_input={ort_session.get_inputs()[0].name:x.cpu().unsqueeze(0).float().numpy()} | |
| #out=ort_session.run(None,ort_input) | |
| out = compiled_model_onnx([x.unsqueeze(0).float().cpu().numpy()]) | |
| pred_mask=np.squeeze(np.argmax(out[0],1)).astype(np.uint8) | |
| color_mask=cv2.applyColorMap(pred_mask,cv2.COLORMAP_MAGMA)*10 | |
| masked_image=cv2.addWeighted(image,0.6,color_mask,0.4,0.1) | |
| return Image.fromarray(masked_image),Image.fromarray((color_mask)) | |
| demo=gr.Interface(fn=segment_image,inputs=gr.Image(type='filepath'), | |
| outputs=[gr.Image(type="pil"),gr.Image(type="pil")], | |
| examples=['/content/miccai2022_sisvse_dataset/images/real/R002_ch1_video_01_01-07-25-19.jpg', | |
| "/content/miccai2022_sisvse_dataset/images/real/R003_ch1_video_01_01-14-13-15.jpg", | |
| "/content/miccai2022_sisvse_dataset/images/real/R013_ch1_video_01_00-50-27-19.jpg", | |
| "/content/miccai2022_sisvse_dataset/images/real/R010_ch1_video_03_00-26-28-05.jpg", | |
| "/content/miccai2022_sisvse_dataset/images/real/R007_ch1_video_04_00-15-54-18.jpg", | |
| "/content/miccai2022_sisvse_dataset/images/real/R013_ch1_video_03_00-55-16-10.jpg", | |
| "/content/miccai2022_sisvse_dataset/images/real/R006_ch1_video_01_00-49-32-01.jpg", | |
| "/content/miccai2022_sisvse_dataset/images/real/R005_ch1_video_03_00-18-54-00.jpg"], | |
| themes=gr.themes.Soft(primary_hue=gr.themes.colors.amber,secondary_hue=gr.themes.colors.blue), | |
| title="Davinci Eye(CPU version)") | |
| demo.launch() |