Working version 1

app.py

@@ -1,7 +1,27 @@
+from fastai.vision.all import *
 import gradio as gr
+import numpy as np
+from skimage import color
 
-def greet(name):
-    return "Hello " + name + "!!"
+# import pathlib
+# temp = pathlib.PosixPath
+# pathlib.PosixPath = pathlib.WindowsPath
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def get_label(filepath):
+    return None
+
+learn = load_learner("resnet18_5epochs.pkl")
+
+def segment(img):
+	mask, _, _ = learn.predict(img)
+	result = color.label2rgb(np.array(mask),img, colors=['red', 'green', 'blue', 'chocolate', 'cyan', 'purple', 'yellow', 'darkorange', 'turquoise', 'lime'] , bg_label=0)
+	return result
+
+TITLE = "Pixel-level Face Segmentation"
+DESCRIPTION = "Resnet18 fine-tuned for face features segmentation via fastai and Mut1ny's Face Segmentation Dataset"
+INPUT = gr.Image(shape=(224, 224))
+OUTPUT = gr.ImageMask(shape=(224, 224), label='Resnet18')
+EXAMPLES = [f for f in pathlib.Path('examples').iterdir()]
+
+intf = gr.Interface(fn=segment, inputs=INPUT, outputs=OUTPUT, examples=EXAMPLES, title=TITLE, description=DESCRIPTION)
+intf.launch(inline=False)

requirements.txt

@@ -1,9 +1,10 @@
 pip
+numpy = 1.21.6
 torch
 gradio
 Pillow
 imageio
 torchvision
 opencv_python
-numpy
-tqdm
+tqdm
+fastai

resnet18_5epochs.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15524ef73b50041924c98e233ba4f61e0965c194da3f10fa666cbd8bf7e52808
+size 129432459