diff options
| -rw-r--r-- | src/argaze/utils/demo_ar_features_run.py | 17 | ||||
| -rw-r--r-- | src/argaze/utils/demo_gaze_features_run.py | 74 |
2 files changed, 40 insertions, 51 deletions
diff --git a/src/argaze/utils/demo_ar_features_run.py b/src/argaze/utils/demo_ar_features_run.py index 22b0d89..d7854e3 100644 --- a/src/argaze/utils/demo_ar_features_run.py +++ b/src/argaze/utils/demo_ar_features_run.py @@ -32,8 +32,6 @@ def main(): # Load AR enviroment ar_environment = ArFeatures.ArEnvironment.from_json(args.environment) - print(ar_environment) - # Create a window to display AR environment cv2.namedWindow(ar_environment.name, cv2.WINDOW_AUTOSIZE) @@ -47,7 +45,12 @@ def main(): timestamp = int((time.time() - start_time) * 1e3) # Project gaze position into environment - ar_environment.look(timestamp, GazeFeatures.GazePosition((x, y))) + for scene_name, scene_looking_data in ar_environment.look(timestamp, GazeFeatures.GazePosition((x, y))): + + for frame_name, frame_looking_data in scene_looking_data: + + # Do nothing with frame looking data + pass # Attach mouse callback to window cv2.setMouseCallback(ar_environment.name, on_mouse_event) @@ -86,8 +89,14 @@ def main(): # Draw and display each frames in separate window for scene_name, frame_name, frame in ar_environment.frames: + # Create frame image + frame_image = frame.image + + # Draw frame info + frame.draw(frame_image) + # Display frame - cv2.imshow(f'{scene_name}:{frame_name}', frame.image) + cv2.imshow(f'{scene_name}:{frame_name}', frame_image) # Stop by pressing 'Esc' key if cv2.waitKey(10) == 27: diff --git a/src/argaze/utils/demo_gaze_features_run.py b/src/argaze/utils/demo_gaze_features_run.py index b9ffcf8..4b4dc12 100644 --- a/src/argaze/utils/demo_gaze_features_run.py +++ b/src/argaze/utils/demo_gaze_features_run.py @@ -68,39 +68,19 @@ def main(): # Waiting for 'ctrl+C' interruption try: - # Analyse mouse positions + # Draw frame and mouse position analysis while True: - # Draw frame - image = ar_frame.background.copy() + # Create frame image + frame_image = ar_frame.image - # Draw heatmap - if ar_frame.heatmap: + # Draw frame info + ar_frame.draw(frame_image) - image = cv2.addWeighted(ar_frame.heatmap.image, 0.5, image, 1., 0) - - # Write heatmap buffer manual - buffer_on_off = 'on' if enable_heatmap_buffer else 'off' - buffer_display_disable = 'disable' if enable_heatmap_buffer else 'enable' - cv2.putText(image, f'Heatmap buffer: {buffer_on_off} (Press \'b\' key to {buffer_display_disable})', (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255) if enable_heatmap_buffer else (255, 255, 255), 1, cv2.LINE_AA) - - # Draw AOI - ar_frame.aoi_2d_scene.draw(image, color=(0, 0, 0)) - - # Draw gaze position - ar_frame.current_gaze_position.draw(image, color=(255, 255, 255)) - - # Draw gaze movements - current_gaze_movement = ar_frame.current_gaze_movement - - current_gaze_movement.draw(image, color=(0, 255, 255)) - current_gaze_movement.draw_positions(image) - - # Check frame fixation - if GazeFeatures.is_fixation(current_gaze_movement): - - # Draw looked AOI - ar_frame.aoi_2d_scene.draw_circlecast(image, current_gaze_movement.focus, current_gaze_movement.deviation_max, base_color=(0, 0, 0), matching_color=(255, 255, 255)) + # Write heatmap buffer manual + buffer_on_off = 'on' if enable_heatmap_buffer else 'off' + buffer_display_disable = 'disable' if enable_heatmap_buffer else 'enable' + cv2.putText(frame_image, f'Heatmap buffer: {buffer_on_off} (Press \'b\' key to {buffer_display_disable})', (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255) if enable_heatmap_buffer else (255, 255, 255), 1, cv2.LINE_AA) # Write last 5 steps of aoi scan path path = '' @@ -110,14 +90,14 @@ def main(): path += f'> {ar_frame.aoi_scan_path.current_aoi}' - cv2.putText(image, path, (20, ar_frame.size[1]-40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, path, (20, ar_frame.size[1]-40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 1, cv2.LINE_AA) # Display Transition matrix analysis if loaded try: transition_matrix_analyzer = ar_frame.aoi_scan_path_analyzers["TransitionMatrix"] - cv2.putText(image, f'Transition matrix density: {transition_matrix_analyzer.transition_matrix_density:.2f}', (20, ar_frame.size[1]-160), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'Transition matrix density: {transition_matrix_analyzer.transition_matrix_density:.2f}', (20, ar_frame.size[1]-160), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) # Iterate over indexes (departures) for from_aoi, row in transition_matrix_analyzer.transition_matrix_probabilities.iterrows(): @@ -133,8 +113,8 @@ def main(): color = [int(probability*200) + 55, int(probability*200) + 55, int(probability*200) + 55] - cv2.line(image, start_line, to_center, color, int(probability*10) + 2) - cv2.line(image, from_center, to_center, [55, 55, 55], 2) + cv2.line(frame_image, start_line, to_center, color, int(probability*10) + 2) + cv2.line(frame_image, from_center, to_center, [55, 55, 55], 2) except KeyError: pass @@ -147,11 +127,11 @@ def main(): # Write raw Kc analysis if kc_analyzer.K < 0.: - cv2.putText(image, f'K coefficient: Ambient attention', (20, ar_frame.size[1]-120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'K coefficient: Ambient attention', (20, ar_frame.size[1]-120), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) elif kc_analyzer.K > 0.: - cv2.putText(image, f'K coefficient: Focal attention', (20, ar_frame.size[1]-120), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 0), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'K coefficient: Focal attention', (20, ar_frame.size[1]-120), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 0), 1, cv2.LINE_AA) except KeyError: pass @@ -164,11 +144,11 @@ def main(): # Write aoi Kc analysis if aoi_kc_analyzer.K < 0.: - cv2.putText(image, f'K-modified coefficient: Ambient attention', (20, ar_frame.size[1]-80), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'K-modified coefficient: Ambient attention', (20, ar_frame.size[1]-80), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) elif aoi_kc_analyzer.K > 0.: - cv2.putText(image, f'K-modified coefficient: Focal attention', (20, ar_frame.size[1]-80), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 0), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'K-modified coefficient: Focal attention', (20, ar_frame.size[1]-80), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 0), 1, cv2.LINE_AA) except KeyError: pass @@ -178,7 +158,7 @@ def main(): lzc_analyzer = ar_frame.aoi_scan_path_analyzers["LempelZivComplexity"] - cv2.putText(image, f'Lempel-Ziv complexity: {lzc_analyzer.lempel_ziv_complexity}', (20, ar_frame.size[1]-200), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'Lempel-Ziv complexity: {lzc_analyzer.lempel_ziv_complexity}', (20, ar_frame.size[1]-200), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) except KeyError: pass @@ -190,7 +170,7 @@ def main(): # Display only 3-gram analysis start = ar_frame.size[1] - ((len(ngram_analyzer.ngrams_count[3]) + 1) * 40) - cv2.putText(image, f'{ngram_analyzer.n_max}-Gram:', (ar_frame.size[0]-700, start-40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'{ngram_analyzer.n_max}-Gram:', (ar_frame.size[0]-700, start-40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) for i, (ngram, count) in enumerate(ngram_analyzer.ngrams_count[3].items()): @@ -198,7 +178,7 @@ def main(): for g in range(1, 3): ngram_string += f'>{ngram[g]}' - cv2.putText(image, f'{ngram_string}: {count}', (ar_frame.size[0]-700, start+(i*40)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'{ngram_string}: {count}', (ar_frame.size[0]-700, start+(i*40)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) except KeyError: pass @@ -208,8 +188,8 @@ def main(): entropy_analyzer = ar_frame.aoi_scan_path_analyzers["Entropy"] - cv2.putText(image, f'Stationary entropy: {entropy_analyzer.stationary_entropy:.3f},', (20, ar_frame.size[1]-280), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) - cv2.putText(image, f'Transition entropy: {entropy_analyzer.transition_entropy:.3f},', (20, ar_frame.size[1]-240), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'Stationary entropy: {entropy_analyzer.stationary_entropy:.3f},', (20, ar_frame.size[1]-280), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'Transition entropy: {entropy_analyzer.transition_entropy:.3f},', (20, ar_frame.size[1]-240), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) except KeyError: pass @@ -219,7 +199,7 @@ def main(): nni_analyzer = ar_frame.scan_path_analyzers["NearestNeighborIndex"] - cv2.putText(image, f'Nearest neighbor index: {nni_analyzer.nearest_neighbor_index:.3f}', (20, ar_frame.size[1]-320), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'Nearest neighbor index: {nni_analyzer.nearest_neighbor_index:.3f}', (20, ar_frame.size[1]-320), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) except KeyError: pass @@ -229,14 +209,14 @@ def main(): xxr_analyser = ar_frame.scan_path_analyzers["ExploitExploreRatio"] - cv2.putText(image, f'Exploit explore ratio: {xxr_analyser.exploit_explore_ratio:.3f}', (20, ar_frame.size[1]-360), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) + cv2.putText(frame_image, f'Exploit explore ratio: {xxr_analyser.exploit_explore_ratio:.3f}', (20, ar_frame.size[1]-360), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255), 1, cv2.LINE_AA) except KeyError: pass - # Draw image - cv2.imshow(ar_frame.name, image) + # Display frame image + cv2.imshow(ar_frame.name, frame_image) key_pressed = cv2.waitKey(10) @@ -264,7 +244,7 @@ def main(): except KeyboardInterrupt: pass - # Stop image display + # Stop frame image display cv2.destroyAllWindows() if __name__ == '__main__': |