Loading zoo/ccip/demo.py +3 −0 Original line number Diff line number Diff line Loading @@ -28,6 +28,7 @@ class Infer: image = self.img_transform(image) return image @torch.no_grad() def infer_one(self, img_list): imgs = torch.stack(img_list).to(self.device) outputs = self.model(imgs) Loading @@ -47,5 +48,7 @@ if __name__ == '__main__': imgs.append(demo.load_img(r'E:\dataset\pixiv\ganyu/91039559171fd81f1ccb54838e1f546a4c3d6e7c.jpg@942w_942h_progressive.webp')) imgs.append(demo.load_img(r'E:\dataset\pixiv\p1/eb7009f1dd5ecc61cf8d55f7d82c1922487b3cfc.jpg@942w_1338h_progressive.webp')) imgs.append(demo.load_img(r'E:\dataset\pixiv\p1/c398774304db7cc737bb57fa2f380295.jpg')) imgs.append(demo.load_img(r'E:\dataset\pixiv\p1/20221215165339_13707.png')) imgs.append(demo.load_img(r'E:\dataset\pixiv\p1/e768ebbb4a116c8b85b39342d3348775.png')) pred = demo.infer_one(imgs) print(pred) No newline at end of file Loading
zoo/ccip/demo.py +3 −0 Original line number Diff line number Diff line Loading @@ -28,6 +28,7 @@ class Infer: image = self.img_transform(image) return image @torch.no_grad() def infer_one(self, img_list): imgs = torch.stack(img_list).to(self.device) outputs = self.model(imgs) Loading @@ -47,5 +48,7 @@ if __name__ == '__main__': imgs.append(demo.load_img(r'E:\dataset\pixiv\ganyu/91039559171fd81f1ccb54838e1f546a4c3d6e7c.jpg@942w_942h_progressive.webp')) imgs.append(demo.load_img(r'E:\dataset\pixiv\p1/eb7009f1dd5ecc61cf8d55f7d82c1922487b3cfc.jpg@942w_1338h_progressive.webp')) imgs.append(demo.load_img(r'E:\dataset\pixiv\p1/c398774304db7cc737bb57fa2f380295.jpg')) imgs.append(demo.load_img(r'E:\dataset\pixiv\p1/20221215165339_13707.png')) imgs.append(demo.load_img(r'E:\dataset\pixiv\p1/e768ebbb4a116c8b85b39342d3348775.png')) pred = demo.infer_one(imgs) print(pred) No newline at end of file