Merge pull request #199 from AK391/master

gradio web demo

README.md

@@ -26,6 +26,8 @@ year = {2020}
 
 ## Updates !!!
 
+**(2021-May-5)** [**Gradio Web Demo**](https://gradio.app/hub/AK391/U-2-Net)
+
 **(2021-Apr-29)** Thanks [**Jonathan Benavides Vallejo**](https://www.linkedin.com/in/jonathanbv/) for releasing his App [**LensOCR: Extract Text & Image**](https://apps.apple.com/ch/app/lensocr-extract-text-image/id1549961729?l=en&mt=12), which uses U^2-Net for extracting the image foreground.
 
 ![LensOCR APP](figures/LensOCR.jpg)

gradio/demo.py

@@ -0,0 +1,37 @@
+import cv2
+import paddlehub as hub
+import gradio as gr
+import torch
+
+# Images
+torch.hub.download_url_to_file('https://cdn.pixabay.com/photo/2018/08/12/16/59/ara-3601194_1280.jpg', 'parrot.jpg')
+torch.hub.download_url_to_file('https://cdn.pixabay.com/photo/2016/10/21/14/46/fox-1758183_1280.jpg', 'fox.jpg')
+
+model = hub.Module(name='U2Net')
+
+def infer(img):
+  result = model.Segmentation(
+      images=[cv2.imread(img.name)],
+      paths=None,
+      batch_size=1,
+      input_size=320,
+      output_dir='output',
+      visualization=True)
+  return result[0]['front'][:,:,::-1], result[0]['mask']
+
+inputs = gr.inputs.Image(type='file', label="Original Image")
+outputs = [
+           gr.outputs.Image(type="numpy",label="Front"),
+           gr.outputs.Image(type="numpy",label="Mask")
+           ]
+
+title = "U^2-Net"
+description = "demo for U^2-Net. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2005.09007'>U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection</a> | <a href='https://github.com/xuebinqin/U-2-Net'>Github Repo</a></p>"
+
+examples = [
+  ['fox.jpg'],
+  ['parrot.jpg']
+]
+
+gr.Interface(infer, inputs, outputs, title=title, description=description, article=article, examples=examples).launch()

requirements.txt

@@ -1,5 +1,9 @@
 numpy==1.15.2
 scikit-image==0.14.0
-torch==0.4.1.post2
+torch
-torchvision==0.2.1
+torchvision
 pillow==7.2.0
+opencv-python
+paddlepaddle
+paddlehub
+gradio