commit aca9604bc76f27fb90c17efe65b78b2f430131b6
Author: SOULOFCINDER <841135647@qq.com>
Date:   Wed Mar 29 17:29:30 2023 +0800

    initial

diff --git a/beit_base_patch16_224_pt22k_ft22k/Masahiro.png b/beit_base_patch16_224_pt22k_ft22k/Masahiro.png
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diff --git a/beit_base_patch16_224_pt22k_ft22k/app.py b/beit_base_patch16_224_pt22k_ft22k/app.py
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+import gradio as gr
+from PIL import Image
+
+from transformers import BeitImageProcessor, BeitForImageClassification
+from PIL import Image
+
+
+def inference(img):
+    pretrained_model_path = "beit-base-patch16-224-pt22k-ft22k"
+
+    processor = BeitImageProcessor.from_pretrained(pretrained_model_path)
+    model = BeitForImageClassification.from_pretrained(pretrained_model_path)
+
+    inputs = processor(images=img, return_tensors="pt")
+    outputs = model(**inputs)
+    logits = outputs.logits
+    # model predicts one of the 21,841 ImageNet-22k classes
+    predicted_class_idx = logits.argmax(-1).item()
+    # print("Predicted class:", model.config.id2label[predicted_class_idx])
+
+    return model.config.id2label[predicted_class_idx]
+
+title = "beit-base-patch16-224-pt22k-ft22k"
+description = "Gradio Demo for beit-base-patch16-224-pt22k-ft22k. To use it, simply upload your image, or click one of the examples to load them."
+article = "<p style='text-align: center'><a href='https://github.com/bryandlee/animegan2-pytorch' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_animegan' alt='visitor badge'></center></p>"
+examples=[['example_cat.jpg'],['Masahiro.png']]
+
+demo = gr.Interface(
+    fn=inference,
+    inputs=[gr.inputs.Image(type="pil")],
+    outputs=gr.outputs.Textbox(),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples)
+
+demo.launch()
+
+
+##
+
+
+# model_dir = "hub/animegan2-pytorch-main"
+# model_dir_weight = "hub/checkpoints/face_paint_512_v1.pt"
+#
+# model2 = torch.hub.load(
+#     model_dir,
+#     "generator",
+#     pretrained=True,
+#     progress=False,
+#     source="local"
+# )
+# model1 = torch.load(model_dir_weight)
+# face2paint = torch.hub.load(
+#     model_dir, 'face2paint',
+#     size=512,side_by_side=False,
+#     source="local"
+# )
+#
+# def inference(img, ver):
+#     if ver == 'version 2 (🔺 robustness,🔻 stylization)':
+#         out = face2paint(model2, img)
+#     else:
+#         out = face2paint(model1, img)
+#     return out
+#
diff --git a/beit_base_patch16_224_pt22k_ft22k/beit-base-patch16-224-pt22k-ft22k b/beit_base_patch16_224_pt22k_ft22k/beit-base-patch16-224-pt22k-ft22k
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+Subproject commit 9da301148150e37e533abef672062fa49f6bda4f
diff --git a/beit_base_patch16_224_pt22k_ft22k/example_cat.jpg b/beit_base_patch16_224_pt22k_ft22k/example_cat.jpg
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