notes

app.py

@@ -20,7 +20,7 @@ env = {
 }
 
 
-def process(img_path, resolution=128):
+def process(img_path):
     base = os.path.basename(img_path)
     img_name = os.path.splitext(base)[0]
     print("image name", img_name)
@@ -46,14 +46,31 @@ def process(img_path, resolution=128):
 
 examples = [["./examples/" + img] for img in os.listdir("./examples/")]
 description = '''
-### PIFu-upright-standing
-Credits
+# PIFu Clothed Human Digitization
+# PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
+<base target="_blank">
 
-https://stylegan-human.github.io/
-https://phorhum.github.io/
-https://github.com/yuliangxiu/icon
-https://shunsukesaito.github.io/PIFuHD/
+This is a demo for <a href="https://github.com/shunsukesaito/PIFu" target="_blank"> PIFu model </a>.
+The pre-trained model has the following warning:
+> Warning: The released model is trained with mostly upright standing scans with weak perspectie projection and the pitch angle of 0 degree. Reconstruction quality may degrade for images highly deviated from trainining data.
+
+<details> 
+<summary>More</summary>
+
+#### Image Credits
+
+* Julien and Clem
+* [StyleGAN Humans](https://huggingface.co/spaces/hysts/StyleGAN-Human)
+* [Renderpeople: Dennis](https://renderpeople.com)
+
+#### More
+* https://phorhum.github.io/
+* https://github.com/yuliangxiu/icon
+* https://shunsukesaito.github.io/PIFuHD/
+
+</details>
 '''
+
 iface = gr.Interface(
     fn=process,
     description=description,