| import pickle | |
| import cv2 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| im_size = (1152, 768) | |
| with open("learn.pkl", 'rb') as f: | |
| model = pickle.load(f) | |
| def predict_mask(file): | |
| img = cv2.imdecode(np.frombuffer(file.read(), np.uint8), cv2.IMREAD_GRAYSCALE) | |
| img = cv2.resize(img, im_size) | |
| pred = model.predict(img) | |
| return pred[0] | |
| iface = gr.Interface(fn=predict_mask, | |
| inputs=gr.inputs.Image(label="Upload Image"), | |
| outputs="image", | |
| capture_session=True, | |
| interpretation="default") | |
| if __name__ == "__main__": | |
| iface.launch() | |