diff options
author | Théo de la Hogue | 2023-08-07 13:38:32 +0200 |
---|---|---|
committer | Théo de la Hogue | 2023-08-07 13:38:32 +0200 |
commit | e3bb97370f869397b2e25dec90beeef36f22bb2c (patch) | |
tree | e102fa6d38b29afc7a605ac18c35e46d1ae2210a | |
parent | b753744b7aa4b815c3170d7d7620702db971e394 (diff) | |
download | argaze-e3bb97370f869397b2e25dec90beeef36f22bb2c.zip argaze-e3bb97370f869397b2e25dec90beeef36f22bb2c.tar.gz argaze-e3bb97370f869397b2e25dec90beeef36f22bb2c.tar.bz2 argaze-e3bb97370f869397b2e25dec90beeef36f22bb2c.tar.xz |
Loading heatmap parameters from JSON for ArFrame. Scaling gaze value according ArFrame size and Heatmap size.
-rw-r--r-- | src/argaze/ArFeatures.py | 28 |
1 files changed, 18 insertions, 10 deletions
diff --git a/src/argaze/ArFeatures.py b/src/argaze/ArFeatures.py index 6727928..03082e6 100644 --- a/src/argaze/ArFeatures.py +++ b/src/argaze/ArFeatures.py @@ -99,11 +99,6 @@ class ArFrame(): # Init looked aoi data self.__init_looked_aoi_data() - # Init heatmap if required - if self.heatmap: - - self.heatmap.init() - # Init lock to share looked data wit hmultiples threads self.__look_lock = threading.Lock() @@ -316,11 +311,19 @@ class ArFrame(): # Load heatmap try: - new_heatmap_value = frame_data.pop('heatmap') + new_heatmap_data = frame_data.pop('heatmap') + + # Default heatmap size equals frame size + if 'size' not in new_heatmap_data.keys(): + + new_heatmap_data['size'] = new_frame_size + + new_heatmap = AOIFeatures.Heatmap(**new_heatmap_data) except KeyError: - new_heatmap_value = False + new_heatmap_data = {} + new_heatmap = None # Create frame return ArFrame(new_frame_name, \ @@ -334,7 +337,7 @@ class ArFrame(): new_scan_path_analyzers, \ new_aoi_scan_path, \ new_aoi_scan_path_analyzers, \ - AOIFeatures.Heatmap(new_frame_size) if new_heatmap_value else None \ + new_heatmap \ ) @classmethod @@ -379,7 +382,8 @@ class ArFrame(): # Draw heatmap if self.heatmap: - image = cv2.addWeighted(self.heatmap.image, 0.5, image, 1., 0) + heatmap_image = cv2.resize(self.heatmap.image, dsize=(image.shape[1], image.shape[0]), interpolation=cv2.INTER_LINEAR) + image = cv2.addWeighted(heatmap_image, 0.5, image, 1., 0) # Unlock frame exploitation self.__look_lock.release() @@ -601,7 +605,11 @@ class ArFrame(): # Store heatmap start date heatmap_start = time.time() - self.heatmap.update(self.__gaze_position.value, sigma=0.05) + # Scale gaze position value + scale = numpy.array([self.heatmap.size[0] / self.size[0], self.heatmap.size[1] / self.size[1]]) + + # Update heatmap image + self.heatmap.update(self.__gaze_position.value * scale) # Assess heatmap time in ms times['heatmap'] = (time.time() - heatmap_start) * 1e3 |