v1

app.py

@@ -104,9 +104,9 @@ def segment(input_img, dims=(1024, 1024)):
     pred = resize(pred, (w, h), preserve_range=True, clip=True)
     
     bias=.1
-    thres_land = threshold_otsu(pred[:,:,1])-bias
-    print("Coin threshold: %f" % (thres_land))
-    mask = (pred[:,:,1]<=thres_land).astype('uint8')
+    thres_coin = threshold_otsu(pred[:,:,1])-bias
+    print("Coin threshold: %f" % (thres_coin))
+    mask = (pred[:,:,1]<=thres_coin).astype('uint8')
     
     imsave("greyscale.png", mask*255)
 
@@ -168,12 +168,11 @@ title = "Find and measure coins in images of sand!"
 description = "This model demonstration segments beach sediment imagery into two classes: a) background, and b) coin, then measuring the coin. Allows upload of imagery and download of label imagery only one at a time. This model is part of the Doodleverse https://github.com/Doodleverse" 
     
 
-examples = [['examples/20191011_091052.jpg'],
-['examples/20191010_135020.jpg'],
+examples = [
 ['examples/IMG_20210922_170908944.jpg'],
-['examples/IMG_20211121_120533257_HDR.jpg'],
 ['examples/20210208_172834.jpg'],
-['examples/20220101_165359.jpg']] 
+['examples/20220101_165359.jpg']
+] 
 
 inp = gr.Image()
 out1 = gr.Image(type='numpy')