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| -rw-r--r-- | src/argaze/utils/demo_environment_run.py | 115 |
1 files changed, 0 insertions, 115 deletions
diff --git a/src/argaze/utils/demo_environment_run.py b/src/argaze/utils/demo_environment_run.py deleted file mode 100644 index efd795b..0000000 --- a/src/argaze/utils/demo_environment_run.py +++ /dev/null @@ -1,115 +0,0 @@ -#!/usr/bin/env python - -import argparse - -from argaze import ArFeatures, GazeFeatures - -import cv2 - -def main(): - """ - Load AR environment from .json file, detect ArUco markers into camera device frames and estimate environment pose. - """ - - # Manage arguments - parser = argparse.ArgumentParser(description=main.__doc__.split('-')[0]) - parser.add_argument('environment', metavar='ENVIRONMENT', type=str, help='ar environment filepath') - - parser.add_argument('-d', '--device', metavar='DEVICE', type=int, default=0, help='video capture device id') - args = parser.parse_args() - - # Load AR enviroment - demo_environment = ArFeatures.ArEnvironment.from_json(args.environment) - - print('ArEnvironment:\n', demo_environment) - - # Access to main AR scene - demo_scene = demo_environment.scenes["AR Scene Demo"] - - # Create a window to display AR environment - cv2.namedWindow(demo_environment.name, cv2.WINDOW_AUTOSIZE) - - # Init mouse interaction - pointer = (0, 0) - - # Update pointer position - def on_mouse_event(event, x, y, flags, param): - - nonlocal pointer - - # Update pointer - pointer = (x, y) - - # Attach mouse callback to window - cv2.setMouseCallback(demo_environment.name, on_mouse_event) - - # Enable camera video capture - video_capture = cv2.VideoCapture(args.device) - - # Waiting for 'ctrl+C' interruption - try: - - # Capture frames - while video_capture.isOpened(): - - success, video_frame = video_capture.read() - - if success: - - # Draw pointer as gaze position - gaze_position = GazeFeatures.GazePosition(pointer, precision=10) - gaze_position.draw(video_frame) - - # Detect markers - demo_environment.aruco_detector.detect_markers(video_frame) - - # Draw detected markers - demo_environment.aruco_detector.draw_detected_markers(video_frame) - - # Try to project scene - try: - - try: - # Try to build AOI scene from detected ArUco marker corners - aoi_scene_projection = demo_scene.build_aruco_aoi_scene(demo_environment.aruco_detector.detected_markers) - - except: - - # Estimate scene markers poses - demo_environment.aruco_detector.estimate_markers_pose(demo_scene.aruco_scene.identifiers) - - # Estimate scene pose from detected scene markers - tvec, rmat, _, _ = demo_scene.estimate_pose(demo_environment.aruco_detector.detected_markers) - - # Project AOI scene into frame according estimated pose - aoi_scene_projection = demo_scene.project(tvec, rmat) - - # Draw AOI scene projection with gaze - aoi_scene_projection.draw_circlecast(video_frame, gaze_position) - - # Catch exceptions raised by estimate_pose and project methods - except (ArFeatures.PoseEstimationFailed, ArFeatures.SceneProjectionFailed) as e: - - cv2.rectangle(video_frame, (0, 50), (700, 100), (127, 127, 127), -1) - cv2.putText(video_frame, f'Error: {e}', (20, 80), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) - - # Draw frame - cv2.imshow(demo_environment.name, video_frame) - - # Stop calibration by pressing 'Esc' key - if cv2.waitKey(10) == 27: - break - - # Stop calibration on 'ctrl+C' interruption - except KeyboardInterrupt: - pass - - # Close camera video capture - video_capture.release() - - # Stop frame display - cv2.destroyAllWindows() - -if __name__ == '__main__': - - main() |