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import cv2 |
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from icevision.all import * |
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from icevision import models |
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from fastai.basics import * |
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from fastai.vision.all import * |
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from fastai.callback import * |
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import PIL |
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import gradio as gr |
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model = models.torchvision.faster_rcnn.model(backbone=models.torchvision.faster_rcnn.backbones.resnet18_fpn, |
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num_classes=2) |
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state_dict = torch.load('fasterRCNNkangaroo.pth') |
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model.load_state_dict(state_dict) |
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infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(384),tfms.A.Normalize()]) |
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def predict(img): |
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img = PILImage.create(img) |
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pred_dict = models.torchvision.faster_rcnn.end2end_detect(img, infer_tfms, model.to("cpu"), class_map=ClassMap(['kangaroo']), detection_threshold=0.5) |
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return pred_dict['img'] |
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gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Image(shape=(128, 128)),examples=['00004.jpg','00014.jpg']).launch(share=False) |