minor edits

Pose2Sim/Demo_MultiPerson/Config.toml

@@ -34,17 +34,17 @@ exclude_from_batch = [] # List of trials to be excluded from batch analysis, ['<
 
 [pose]
 vid_img_extension = 'mp4' # any video or image extension
-pose_model = 'HALPE_26'  #With RTMLib: HALPE_26 (default, body and feet), COCO_133 (body, feet, hands), COCO_17 (body)
+pose_model = 'HALPE_26'  #With RTMLib: HALPE_26 (body and feet, default), COCO_133 (body, feet, hands), COCO_17 (body)
-						 # /!\ Only RTMPose is natively embeded in Pose2Sim. For all other pose estimation methods, you will have to run them yourself, and then refer to the documentation to convert the files if needed
+                         # /!\ Only RTMPose is natively embeded in Pose2Sim. For all other pose estimation methods, you will have to run them yourself, and then refer to the documentation to convert the files if needed
-						 #With MMPose: HALPE_26 (default), COCO_133, COCO_17, CUSTOM. See example at the end of the file
+                         #With MMPose: HALPE_26, COCO_133, COCO_17, CUSTOM. See CUSTOM example at the end of the file
-						 #With openpose: BODY_25B, BODY_25, BODY_135, COCO, MPII
+                         #With openpose: BODY_25B, BODY_25, BODY_135, COCO, MPII
-						 #With mediapipe: BLAZEPOSE
+                         #With mediapipe: BLAZEPOSE
-						 #With alphapose: HALPE_26, HALPE_68, HALPE_136, COCO_133
+                         #With alphapose: HALPE_26, HALPE_68, HALPE_136, COCO_133
-						 #With deeplabcut: CUSTOM. See example at the end of the file
+                         #With deeplabcut: CUSTOM. See example at the end of the file
-mode = 'balanced' # 'lightweight', 'balanced', 'performance'
+mode = 'performance' # 'lightweight', 'balanced', 'performance'
-det_frequency = 1 # Run person detection only every N frames, and inbetween track previously detected bounding boxes (still run keypoint detection on all frame). 
+det_frequency = 1 # Run person detection only every N frames, and inbetween track previously detected bounding boxes (keypoint detection is still run on all frames). 
-				  #Equal to or greater than 1, can be as high as you want in simple uncrowded cases. Much faster, but might be less accurate. 
+                  # Equal to or greater than 1, can be as high as you want in simple uncrowded cases. Much faster, but might be less accurate. 
-tracking = true # Gives consistent person ID across frames. Slightly slower but might facilitate synchronization if other people are in the background
+tracking = false # Gives consistent person ID across frames. Slightly slower but might facilitate synchronization if other people are in the background
 display_detection = true
 save_video = 'to_video' # 'to_video' or 'to_images', 'none', or ['to_video', 'to_images']
 output_format = 'openpose' # 'openpose', 'mmpose', 'deeplabcut', 'none' or a list of them # /!\ only 'openpose' is supported for now

Pose2Sim/Demo_SinglePerson/Config.toml

@@ -34,17 +34,17 @@ exclude_from_batch = [] # List of trials to be excluded from batch analysis, ['<
 
 [pose]
 vid_img_extension = 'mp4' # any video or image extension
-pose_model = 'HALPE_26'  #With RTMLib: HALPE_26 (default, body and feet), COCO_133 (body, feet, hands), COCO_17 (body)
+pose_model = 'HALPE_26'  #With RTMLib: HALPE_26 (body and feet, default), COCO_133 (body, feet, hands), COCO_17 (body)
-						 # /!\ Only RTMPose is natively embeded in Pose2Sim. For all other pose estimation methods, you will have to run them yourself, and then refer to the documentation to convert the files if needed
+                         # /!\ Only RTMPose is natively embeded in Pose2Sim. For all other pose estimation methods, you will have to run them yourself, and then refer to the documentation to convert the files if needed
-						 #With MMPose: HALPE_26 (default), COCO_133, COCO_17, CUSTOM. See example at the end of the file
+                         #With MMPose: HALPE_26, COCO_133, COCO_17, CUSTOM. See CUSTOM example at the end of the file
-						 #With openpose: BODY_25B, BODY_25, BODY_135, COCO, MPII
+                         #With openpose: BODY_25B, BODY_25, BODY_135, COCO, MPII
-						 #With mediapipe: BLAZEPOSE
+                         #With mediapipe: BLAZEPOSE
-						 #With alphapose: HALPE_26, HALPE_68, HALPE_136, COCO_133
+                         #With alphapose: HALPE_26, HALPE_68, HALPE_136, COCO_133
-						 #With deeplabcut: CUSTOM. See example at the end of the file
+                         #With deeplabcut: CUSTOM. See example at the end of the file
-mode = 'balanced' # 'lightweight', 'balanced', 'performance'
+mode = 'performance' # 'lightweight', 'balanced', 'performance'
-det_frequency = 1 # Run person detection only every N frames, and inbetween track previously detected bounding boxes (still run keypoint detection on all frame). 
+det_frequency = 1 # Run person detection only every N frames, and inbetween track previously detected bounding boxes (keypoint detection is still run on all frames). 
-				  #Equal to or greater than 1, can be as high as you want in simple uncrowded cases. Much faster, but might be less accurate. 
+                  # Equal to or greater than 1, can be as high as you want in simple uncrowded cases. Much faster, but might be less accurate. 
-tracking = true # Gives consistent person ID across frames. Slightly slower but might facilitate synchronization if other people are in the background
+tracking = false # Gives consistent person ID across frames. Slightly slower but might facilitate synchronization if other people are in the background
 display_detection = true
 save_video = 'to_video' # 'to_video' or 'to_images', 'none', or ['to_video', 'to_images']
 output_format = 'openpose' # 'openpose', 'mmpose', 'deeplabcut', 'none' or a list of them # /!\ only 'openpose' is supported for now