Adding hubconf.py

hubconf.py

@@ -0,0 +1,18 @@
+dependencies = ['torch']
+
+from models.midas_est import MidasNet
+
+def MiDaS(pretrained=True, **kwargs):
+    """ # This docstring shows up in hub.help()
+    MiDaS model for monocular depth estimation
+    pretrained (bool): load pretrained weights into model
+    """
+
+    model = MidasNet()
+
+    if pretrained:
+        checkpoint = "https://drive.google.com/file/d/1nqW_Hwj86kslfsXR7EnXpEWdO2csz1cC"
+        state_dict = torch.hub.load_state_dict_from_url(checkpoint, progress=True)
+        model.load_state_dict(state_dict)
+
+    return model