Fix solution functions description + `integrations/openvino.md` cover image update (#8170)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

docs/en/integrations/openvino.md

@@ -6,7 +6,7 @@ keywords: ultralytics docs, YOLOv8, export YOLOv8, YOLOv8 model deployment, expo
 
 # Intel OpenVINO Export
 
-<img width="1024" src="https://user-images.githubusercontent.com/26833433/252345644-0cf84257-4b34-404c-b7ce-eb73dfbcaff1.png" alt="OpenVINO Ecosystem">
+<img width="1024" src="https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/2b181f68-aa91-4514-ba09-497cc3c83b00" alt="OpenVINO Ecosystem">
 
 In this guide, we cover exporting YOLOv8 models to the [OpenVINO](https://docs.openvino.ai/) format, which can provide up to 3x [CPU](https://docs.openvino.ai/nightly/openvino_docs_OV_UG_supported_plugins_CPU.html) speedup as well as accelerating on other Intel hardware ([iGPU](https://docs.openvino.ai/nightly/openvino_docs_OV_UG_supported_plugins_GPU.html), [dGPU](https://docs.openvino.ai/nightly/openvino_docs_OV_UG_supported_plugins_GPU.html), [VPU](https://docs.openvino.ai/2022.3/openvino_docs_OV_UG_supported_plugins_VPU.html), etc.).
 

ultralytics/solutions/ai_gym.py

@@ -46,14 +46,15 @@ class AIGym:
         pose_type="pullup",
     ):
         """
-        Configures the AIGym line_thickness, save image and view image parameters
+        Configures the AIGym line_thickness, save image and view image parameters.
+
         Args:
             kpts_to_check (list): 3 keypoints for counting
             line_thickness (int): Line thickness for bounding boxes.
             view_img (bool): display the im0
             pose_up_angle (float): Angle to set pose position up
             pose_down_angle (float): Angle to set pose position down
-            pose_type: "pushup", "pullup" or "abworkout"
+            pose_type (str): "pushup", "pullup" or "abworkout"
         """
         self.kpts_to_check = kpts_to_check
         self.tf = line_thickness
@@ -64,11 +65,12 @@ class AIGym:
 
     def start_counting(self, im0, results, frame_count):
         """
-        Function used to count the gym steps
+        Function used to count the gym steps.
+
         Args:
             im0 (ndarray): Current frame from the video stream.
-            results: Pose estimation data
-            frame_count: store current frame count
+            results (list): Pose estimation data
+            frame_count (int): store current frame count
         """
         self.im0 = im0
         if frame_count == 1:

ultralytics/solutions/distance_calculation.py

@@ -107,7 +107,8 @@ class DistanceCalculation:
 
     def calculate_centroid(self, box):
         """
-        Calculate the centroid of bounding box
+        Calculate the centroid of bounding box.
+
         Args:
             box (list): Bounding box data
         """
@@ -115,7 +116,8 @@ class DistanceCalculation:
 
     def calculate_distance(self, centroid1, centroid2):
         """
-        Calculate distance between two centroids
+        Calculate distance between two centroids.
+
         Args:
             centroid1 (point): First bounding box data
             centroid2 (point): Second bounding box data
@@ -125,7 +127,8 @@ class DistanceCalculation:
 
     def start_process(self, im0, tracks):
         """
-        Calculate distance between two bounding boxes based on tracking data
+        Calculate distance between two bounding boxes based on tracking data.
+
         Args:
             im0 (nd array): Image
             tracks (list): List of tracks obtained from the object tracking process.

ultralytics/solutions/speed_estimation.py

@@ -124,7 +124,8 @@ class SpeedEstimator:
 
     def calculate_speed(self, trk_id, track):
         """
-        Calculation of object speed
+        Calculation of object speed.
+
         Args:
             trk_id (int): object track id.
             track (list): tracking history for tracks path drawing
@@ -155,7 +156,8 @@ class SpeedEstimator:
 
     def estimate_speed(self, im0, tracks):
         """
-        Calculate object based on tracking data
+        Calculate object based on tracking data.
+
         Args:
             im0 (nd array): Image
             tracks (list): List of tracks obtained from the object tracking process.