From 83804cf00e535ee1c8139cd0c5312c1a3be09671 Mon Sep 17 00:00:00 2001 From: mahipalimkar Date: Tue, 15 Oct 2024 19:56:44 +0530 Subject: [PATCH 1/2] Added file for 3d pose estimation --- Computer Vision/3d_pose_estimation.py | 75 +++++++++++++++++++++++++++ 1 file changed, 75 insertions(+) create mode 100644 Computer Vision/3d_pose_estimation.py diff --git a/Computer Vision/3d_pose_estimation.py b/Computer Vision/3d_pose_estimation.py new file mode 100644 index 00000000..b8ef0698 --- /dev/null +++ b/Computer Vision/3d_pose_estimation.py @@ -0,0 +1,75 @@ +import cv2 +import mediapipe as mp +import numpy as np +import json +import socket + +# Set up the UDP socket +sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) +server_address = ('localhost', 12345) # Port for Unity to listen to + +# Function to read and return 3D landmark positions +def read_landmark_positions_3d(results): + if results.pose_world_landmarks is None: + return None + else: + # Extract 3D landmark positions + landmarks = [results.pose_world_landmarks.landmark[lm] for lm in mp.solutions.pose.PoseLandmark] + return np.array([(lm.x, lm.y, lm.z) for lm in landmarks]) + +# Function to draw landmarks on the image +def draw_landmarks_on_image(frame, results): + if results.pose_landmarks is not None: + mp_drawing = mp.solutions.drawing_utils + mp_pose = mp.solutions.pose + mp_drawing.draw_landmarks( + frame, + results.pose_landmarks, + mp_pose.POSE_CONNECTIONS, + mp_drawing.DrawingSpec(color=(245, 117, 66), thickness=2, circle_radius=2), + mp_drawing.DrawingSpec(color=(245, 66, 230), thickness=2, circle_radius=2), + ) + +# Real-time 3D pose estimation function +def real_time_pose_estimation(): + # Initialize webcam or video + cap = cv2.VideoCapture(0) # Use 0 for webcam + + # Initialize Mediapipe Pose model + mp_pose = mp.solutions.pose + pose_detector = mp_pose.Pose(static_image_mode=False, model_complexity=2) + + while cap.isOpened(): + ret, frame = cap.read() + if not ret: + break + + # Convert the frame to RGB (required by Mediapipe) + frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) + + # Process the frame to obtain pose landmarks + results = pose_detector.process(frame_rgb) + + # Draw landmarks on the frame (optional for visualization) + draw_landmarks_on_image(frame, results) + + # Extract 3D landmarks + landmark_positions_3d = read_landmark_positions_3d(results) + if landmark_positions_3d is not None: + # Send landmark positions to Unity via UDP + data = json.dumps(landmark_positions_3d.tolist()) # Convert to JSON format + sock.sendto(data.encode('utf-8'), server_address) # Send data to Unity + print(f'3D Landmarks: {landmark_positions_3d}') # Optional: Print landmarks to console + + # Display the frame with landmarks drawn + cv2.imshow('Real-Time 3D Pose Estimation', frame) + + # Exit loop when 'q' key is pressed + if cv2.waitKey(1) & 0xFF == ord('q'): + break + + cap.release() + cv2.destroyAllWindows() + +if __name__ == "__main__": + real_time_pose_estimation() From 4a8f4784a5b1cc8b6611da05e30be28aaad9e0af Mon Sep 17 00:00:00 2001 From: mahipalimkar Date: Tue, 15 Oct 2024 21:29:10 +0530 Subject: [PATCH 2/2] Added file for 3d pose estimation --- .../3d_pose_estimation.py | 0 Computer Vision/3d_pose_estimation/Result.mp4 | Bin 0 -> 2066982 bytes Computer Vision/3d_pose_estimation/readme.md | 24 ++++++++++++++++++ 3 files changed, 24 insertions(+) rename Computer Vision/{ => 3d_pose_estimation}/3d_pose_estimation.py (100%) create mode 100644 Computer Vision/3d_pose_estimation/Result.mp4 create mode 100644 Computer Vision/3d_pose_estimation/readme.md diff --git a/Computer Vision/3d_pose_estimation.py b/Computer Vision/3d_pose_estimation/3d_pose_estimation.py similarity index 100% rename from Computer Vision/3d_pose_estimation.py rename to Computer Vision/3d_pose_estimation/3d_pose_estimation.py diff --git a/Computer Vision/3d_pose_estimation/Result.mp4 b/Computer Vision/3d_pose_estimation/Result.mp4 new file mode 100644 index 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