update

ultralytics/solutions/ai_gym.py

@@ -0,0 +1,150 @@
+# Ultralytics YOLO 🚀, AGPL-3.0 license
+
+import cv2
+
+from ultralytics.utils.checks import check_imshow
+from ultralytics.utils.plotting import Annotator
+
+
+class AIGym:
+    """A class to manage the gym steps of people in a real-time video stream based on their poses."""
+
+    def __init__(self):
+        """Initializes the AIGym with default values for Visual and Image parameters."""
+
+        # Image and line thickness
+        self.im0 = None
+        self.tf = None
+
+        # Keypoints and count information
+        self.keypoints = None
+        self.poseup_angle = None
+        self.posedown_angle = None
+        self.threshold = 0.001
+
+        # Store stage, count and angle information
+        self.angle = None
+        self.count = None
+        self.stage = None
+        self.pose_type = "pushup"
+        self.kpts_to_check = None
+
+        # Visual Information
+        self.view_img = False
+        self.annotator = None
+
+        # Check if environment support imshow
+        self.env_check = check_imshow(warn=True)
+
+    def set_args(
+        self,
+        kpts_to_check,
+        line_thickness=2,
+        view_img=False,
+        pose_up_angle=145.0,
+        pose_down_angle=90.0,
+        pose_type="pullup",
+    ):
+        """
+        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 (str): "pushup", "pullup" or "abworkout"
+        """
+        self.kpts_to_check = kpts_to_check
+        self.tf = line_thickness
+        self.view_img = view_img
+        self.poseup_angle = pose_up_angle
+        self.posedown_angle = pose_down_angle
+        self.pose_type = pose_type
+
+    def start_counting(self, im0, results, frame_count):
+        """
+        Function used to count the gym steps.
+
+        Args:
+            im0 (ndarray): Current frame from the video stream.
+            results (list): Pose estimation data
+            frame_count (int): store current frame count
+        """
+        self.im0 = im0
+        if frame_count == 1:
+            self.count = [0] * len(results[0])
+            self.angle = [0] * len(results[0])
+            self.stage = ["-" for _ in results[0]]
+        self.keypoints = results[0].keypoints.data
+        self.annotator = Annotator(im0, line_width=2)
+
+        for ind, k in enumerate(reversed(self.keypoints)):
+            if self.pose_type in ["pushup", "pullup"]:
+                self.angle[ind] = self.annotator.estimate_pose_angle(
+                    k[int(self.kpts_to_check[0])].cpu(),
+                    k[int(self.kpts_to_check[1])].cpu(),
+                    k[int(self.kpts_to_check[2])].cpu(),
+                )
+                self.im0 = self.annotator.draw_specific_points(k, self.kpts_to_check, shape=(640, 640), radius=10)
+
+            if self.pose_type == "abworkout":
+                self.angle[ind] = self.annotator.estimate_pose_angle(
+                    k[int(self.kpts_to_check[0])].cpu(),
+                    k[int(self.kpts_to_check[1])].cpu(),
+                    k[int(self.kpts_to_check[2])].cpu(),
+                )
+                self.im0 = self.annotator.draw_specific_points(k, self.kpts_to_check, shape=(640, 640), radius=10)
+                if self.angle[ind] > self.poseup_angle:
+                    self.stage[ind] = "down"
+                if self.angle[ind] < self.posedown_angle and self.stage[ind] == "down":
+                    self.stage[ind] = "up"
+                    self.count[ind] += 1
+                self.annotator.plot_angle_and_count_and_stage(
+                    angle_text=self.angle[ind],
+                    count_text=self.count[ind],
+                    stage_text=self.stage[ind],
+                    center_kpt=k[int(self.kpts_to_check[1])],
+                    line_thickness=self.tf,
+                )
+
+            if self.pose_type == "pushup":
+                if self.angle[ind] > self.poseup_angle:
+                    self.stage[ind] = "up"
+                if self.angle[ind] < self.posedown_angle and self.stage[ind] == "up":
+                    self.stage[ind] = "down"
+                    self.count[ind] += 1
+                self.annotator.plot_angle_and_count_and_stage(
+                    angle_text=self.angle[ind],
+                    count_text=self.count[ind],
+                    stage_text=self.stage[ind],
+                    center_kpt=k[int(self.kpts_to_check[1])],
+                    line_thickness=self.tf,
+                )
+            if self.pose_type == "pullup":
+                if self.angle[ind] > self.poseup_angle:
+                    self.stage[ind] = "down"
+                if self.angle[ind] < self.posedown_angle and self.stage[ind] == "down":
+                    self.stage[ind] = "up"
+                    self.count[ind] += 1
+                self.annotator.plot_angle_and_count_and_stage(
+                    angle_text=self.angle[ind],
+                    count_text=self.count[ind],
+                    stage_text=self.stage[ind],
+                    center_kpt=k[int(self.kpts_to_check[1])],
+                    line_thickness=self.tf,
+                )
+
+            self.annotator.kpts(k, shape=(640, 640), radius=1, kpt_line=True)
+
+        if self.env_check and self.view_img:
+            cv2.imshow("Ultralytics YOLOv8 AI GYM", self.im0)
+            if cv2.waitKey(1) & 0xFF == ord("q"):
+                return
+
+        return self.im0
+
+
+if __name__ == "__main__":
+    AIGym()