update docs and add back benchmark

config/config.example.yml

@@ -39,8 +39,6 @@ mqtt:
 #     - -use_wallclock_as_timestamps
 #     - '1'
 #   output_args:
-#     - -vf
-#     - mpdecimate
 #     - -f
 #     - rawvideo
 #     - -pix_fmt
@@ -89,12 +87,15 @@ cameras:
     # width: 720
 
     ################
-    ## Optional mask. Must be the same dimensions as your video feed.
+    ## Optional mask. Must be the same aspect ratio as your video feed.
+    ## 
     ## The mask works by looking at the bottom center of the bounding box for the detected
     ## person in the image. If that pixel in the mask is a black pixel, it ignores it as a
     ## false positive. In my mask, the grass and driveway visible from my backdoor camera 
     ## are white. The garage doors, sky, and trees (anywhere it would be impossible for a 
     ## person to stand) are black.
+    ## 
+    ## Masked areas are also ignored for motion detection.
     ################
     # mask: back-mask.bmp
 
@@ -106,13 +107,14 @@ cameras:
     take_frame: 1
 
     ################
-    # The number of seconds frigate will allow a camera to go without sending a frame before
-    # assuming the ffmpeg process has a problem and restarting.
+    # The expected framerate for the camera. Frigate will try and ensure it maintains this framerate
+    # by dropping frames as necessary. Setting this lower than the actual framerate will allow frigate
+    # to process every frame at the expense of realtime processing.
     ################
-    # watchdog_timeout: 300
+    fps: 5
 
     ################
-    # Configuration for the snapshot sent over mqtt
+    # Configuration for the snapshots in the debug view and mqtt
     ################
     snapshots:
       show_timestamp: True
@@ -128,21 +130,3 @@ cameras:
           min_area: 5000
           max_area: 100000
           threshold: 0.5
-    
-    ################
-    # size: size of the region in pixels
-    # x_offset/y_offset: position of the upper left corner of your region (top left of image is 0,0)
-    # Tips: All regions are resized to 300x300 before detection because the model is trained on that size.
-    #       Resizing regions takes CPU power. Ideally, all regions should be as close to 300x300 as possible.
-    #       Defining a region that goes outside the bounds of the image will result in errors.
-    ################
-    regions:
-      - size: 350
-        x_offset: 0
-        y_offset: 300
-      - size: 400
-        x_offset: 350
-        y_offset: 250
-      - size: 400
-        x_offset: 750
-        y_offset: 250