fix typos (#9895)

docs/docs/configuration/object_detectors.md

@@ -204,7 +204,7 @@ model:
 
 ### Intel NCS2 VPU and Myriad X Setup
 
-Intel produces a neural net inference accelleration chip called Myriad X. This chip was sold in their Neural Compute Stick 2 (NCS2) which has been discontinued. If intending to use the MYRIAD device for accelleration, additional setup is required to pass through the USB device. The host needs a udev rule installed to handle the NCS2 device.
+Intel produces a neural net inference acceleration chip called Myriad X. This chip was sold in their Neural Compute Stick 2 (NCS2) which has been discontinued. If intending to use the MYRIAD device for acceleration, additional setup is required to pass through the USB device. The host needs a udev rule installed to handle the NCS2 device.
 
 ```bash
 sudo usermod -a -G users "$(whoami)"
@@ -403,7 +403,7 @@ model: # required
 
 Explanation for rknn specific options:
 
-- **core mask** controls which cores of your NPU should be used. This option applies only to SoCs with a multicore NPU (at the time of writing this in only the RK3588/S). The easiest way is to pass the value as a binary number. To do so, use the prefix `0b` and write a `0` to disable a core and a `1` to enable a core, whereas the last digit coresponds to core0, the second last to core1, etc. You also have to use the cores in ascending order (so you can't use core0 and core2; but you can use core0 and core1). Enabling more cores can reduce the inference speed, especially when using bigger models (see section below). Examples:
+- **core mask** controls which cores of your NPU should be used. This option applies only to SoCs with a multicore NPU (at the time of writing this in only the RK3588/S). The easiest way is to pass the value as a binary number. To do so, use the prefix `0b` and write a `0` to disable a core and a `1` to enable a core, whereas the last digit corresponds to core0, the second last to core1, etc. You also have to use the cores in ascending order (so you can't use core0 and core2; but you can use core0 and core1). Enabling more cores can reduce the inference speed, especially when using bigger models (see section below). Examples:
   - `core_mask: 0b000` or just `core_mask: 0` let the NPU decide which cores should be used. Default and recommended value.
   - `core_mask: 0b001` use only core0.
   - `core_mask: 0b011` use core0 and core1.
@@ -609,4 +609,3 @@ Other settings available for the rocm detector
 ### Expected performance
 
 On an AMD Ryzen 3 5400U with integrated GPU (gfx90c) the yolov8n runs in around 9ms per image (about 110 detections per second) and 18ms (55 detections per second) for yolov8s (at 320x320 detector resolution).
-

docs/docs/guides/ha_network_storage.md

@@ -3,7 +3,7 @@ id: ha_network_storage
 title: Home Assistant network storage
 ---
 
-As of Home Asisstant Core 2023.6, Network Mounted Storage is supported for addons.
+As of Home Assistant Core 2023.6, Network Mounted Storage is supported for addons.
 
 ## Setting Up Remote Storage For Frigate
 

docs/docs/integrations/api.md

@@ -43,7 +43,7 @@ Accepts the following query string parameters:
 
 Example parameters:
 
-- `h=300`: resizes the image to 300 pixes tall
+- `h=300`: resizes the image to 300 pixels tall
 
 ### `GET /api/stats`
 

frigate/detectors/plugins/rknn.py

@@ -105,10 +105,10 @@ class Rknn(DetectionApi):
 
             if (config.model.width != 320) or (config.model.height != 320):
                 logger.error(
-                    "Make sure to set the model width and heigth to 320 in your config.yml."
+                    "Make sure to set the model width and height to 320 in your config.yml."
                 )
                 raise Exception(
-                    "Make sure to set the model width and heigth to 320 in your config.yml."
+                    "Make sure to set the model width and height to 320 in your config.yml."
                 )
 
             if config.model.input_pixel_format != "bgr":

frigate/detectors/plugins/rocm.py

@@ -25,7 +25,7 @@ def detect_gfx_version():
 
 
 def auto_override_gfx_version():
-    # If environment varialbe already in place, do not override
+    # If environment variable already in place, do not override
     gfx_version = detect_gfx_version()
     old_override = os.getenv("HSA_OVERRIDE_GFX_VERSION")
     if old_override not in (None, ""):
@@ -116,7 +116,7 @@ class ROCmDetector(DetectionApi):
                 # untested
                 self.model = migraphx.parse_tf(path)
             else:
-                raise Exception(f"AMD/ROCm: unkown model format {path}")
+                raise Exception(f"AMD/ROCm: unknown model format {path}")
             logger.info("AMD/ROCm: compiling the model")
             self.model.compile(
                 migraphx.get_target("gpu"), offload_copy=True, fast_math=True

frigate/test/test_camera_pw.py

@@ -43,7 +43,7 @@ class TestUserPassMasking(unittest.TestCase):
         self.rtsp_log_message = "Did you mean file:rtsp://user:password@192.168.1.3:554"
 
     def test_rtsp_in_log_message(self):
-        """Test that the rtsp url in a log message is espaced."""
+        """Test that the rtsp url in a log message is escaped."""
         escaped = clean_camera_user_pass(self.rtsp_log_message)
         print(f"The escaped is {escaped}")
         assert escaped == "Did you mean file:rtsp://*:*@192.168.1.3:554"

frigate/util/image.py

@@ -347,7 +347,7 @@ def yuv_to_3_channel_yuv(yuv_frame):
     # flatten the image into array
     yuv_data = yuv_frame.ravel()
 
-    # create a numpy array to hold all the 3 chanel yuv data
+    # create a numpy array to hold all the 3 channel yuv data
     all_yuv_data = np.empty((height, width, 3), dtype=np.uint8)
 
     y_count = height * width
@@ -575,7 +575,7 @@ def intersection_over_union(box_a, box_b):
 
     # compute the intersection over union by taking the intersection
     # area and dividing it by the sum of prediction + ground-truth
-    # areas - the interesection area
+    # areas - the intersection area
     iou = inter_area / float(box_a_area + box_b_area - inter_area)
 
     # return the intersection over union value