Docs updates: Add Explorer to tab, YOLOv5 in Guides and Usage in Quickstart (#7438)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Haixuan Xavier Tao <tao.xavier@outlook.com>

ultralytics/nn/modules/head.py

@@ -116,6 +116,7 @@ class OBB(Detect):
     """YOLOv8 OBB detection head for detection with rotation models."""
 
     def __init__(self, nc=80, ne=1, ch=()):
+        """Initialize OBB with number of classes `nc` and layer channels `ch`."""
         super().__init__(nc, ch)
         self.ne = ne  # number of extra parameters
         self.detect = Detect.forward
@@ -124,6 +125,7 @@ class OBB(Detect):
         self.cv4 = nn.ModuleList(nn.Sequential(Conv(x, c4, 3), Conv(c4, c4, 3), nn.Conv2d(c4, self.ne, 1)) for x in ch)
 
     def forward(self, x):
+        """Concatenates and returns predicted bounding boxes and class probabilities."""
         bs = x[0].shape[0]  # batch size
         angle = torch.cat([self.cv4[i](x[i]).view(bs, self.ne, -1) for i in range(self.nl)], 2)  # OBB theta logits
         # NOTE: set `angle` as an attribute so that `decode_bboxes` could use it.