diff options
Diffstat (limited to 'docs/use_cases/air_controller_gaze_study/pipeline.md')
| -rw-r--r-- | docs/use_cases/air_controller_gaze_study/pipeline.md | 22 |
1 files changed, 10 insertions, 12 deletions
diff --git a/docs/use_cases/air_controller_gaze_study/pipeline.md b/docs/use_cases/air_controller_gaze_study/pipeline.md index ec1aa59..69fdd2c 100644 --- a/docs/use_cases/air_controller_gaze_study/pipeline.md +++ b/docs/use_cases/air_controller_gaze_study/pipeline.md @@ -1,4 +1,4 @@ -Live processing pipeline +Post processing pipeline ======================== The pipeline processes camera image and gaze data to enable gaze mapping and gaze analysis. @@ -19,7 +19,7 @@ For this use case we need to detect ArUco markers to enable gaze mapping: **ArGa "optic_parameters": "optic_parameters.json", "parameters": { "adaptiveThreshConstant": 20, - "useAruco3Detection": 1 + "useAruco3Detection": true } }, "gaze_movement_identifier": { @@ -182,24 +182,22 @@ For this use case we need to detect ArUco markers to enable gaze mapping: **ArGa } } } - }, - "angle_tolerance": 15.0, - "distance_tolerance": 2.54 + } } }, "observers": { "argaze.utils.UtilsFeatures.LookPerformanceRecorder": { - "path": "_export/look_performance.csv" + "path": "look_performance.csv" }, "argaze.utils.UtilsFeatures.WatchPerformanceRecorder": { - "path": "_export/watch_performance.csv" + "path": "watch_performance.csv" } } } } ``` -All the files mentioned aboved are described below. +All the files mentioned above are described below. The *ScanPathAnalysisRecorder* and *AOIScanPathAnalysisRecorder* observers objects are defined into the [observers.py](observers.md) file that is described in the next chapter. @@ -357,12 +355,12 @@ The video file is a record of the sector screen frame image. ## look_performance.csv -This file contains the logs of *ArUcoCamera.look* method execution info. It is created into an *_export* folder from where the [*load* command](../../user_guide/utils/main_commands.md) is launched. +This file contains the logs of *ArUcoCamera.look* method execution info. It is created into the folder where the [*load* command](../../user_guide/utils/main_commands.md) is launched. -On a MacBookPro (2,3GHz Intel Core i9 8 cores), the *look* method execution time is ~7ms and it is called ~115 times per second. +On a MacBookPro (2.3GHz Intel Core i9 8 cores), the *look* method execution time is ~1ms and it is called ~51 times per second. ## watch_performance.csv -This file contains the logs of *ArUcoCamera.watch* method execution info. It file is created into an *_export* folder from where the [*load* command](../../user_guide/utils/main_commands.md) is launched. +This file contains the logs of *ArUcoCamera.watch* method execution info. It is created into the folder from where the [*load* command](../../user_guide/utils/main_commands.md) is launched. -On a MacBookPro (2,3GHz Intel Core i9 8 cores), the *watch* method execution time is ~60ms and it is called ~10 times per second. +On a MacBookPro (2.3GHz Intel Core i9 8 cores) without CUDA acceleration, the *watch* method execution time is ~52ms and it is called more than 12 times per second. |