comment unused functions
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davidpagnon
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cc25269920
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f446c3b61f
@ -214,37 +214,37 @@ def poseEstimation(config=None):
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raise NotImplementedError('This has not been integrated yet. \nPlease read README.md for further explanation')
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# TODO
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# Determine the level at which the function is called (session:3, participant:2, trial:1)
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level, config_dicts = read_config_files(config)
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# # TODO
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# # Determine the level at which the function is called (session:3, participant:2, trial:1)
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# level, config_dicts = read_config_files(config)
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if type(config)==dict:
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config_dict = config_dicts[0]
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if config_dict.get('project').get('project_dir') == None:
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raise ValueError('Please specify the project directory in config_dict:\n \
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config_dict.get("project").update({"project_dir":"<YOUR_TRIAL_DIRECTORY>"})')
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# if type(config)==dict:
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# config_dict = config_dicts[0]
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# if config_dict.get('project').get('project_dir') == None:
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# raise ValueError('Please specify the project directory in config_dict:\n \
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# config_dict.get("project").update({"project_dir":"<YOUR_TRIAL_DIRECTORY>"})')
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# Set up logging
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session_dir = os.path.realpath(os.path.join(config_dicts[0].get('project').get('project_dir'), '..', '..'))
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setup_logging(session_dir)
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# # Set up logging
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# session_dir = os.path.realpath(os.path.join(config_dicts[0].get('project').get('project_dir'), '..', '..'))
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# setup_logging(session_dir)
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# Batch process all trials
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for config_dict in config_dicts:
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start = time.time()
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project_dir = os.path.realpath(config_dict.get('project').get('project_dir'))
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seq_name = os.path.basename(project_dir)
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frame_range = config_dict.get('project').get('frame_range')
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frames = ["all frames" if frame_range == [] else f"frames {frame_range[0]} to {frame_range[1]}"][0]
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# # Batch process all trials
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# for config_dict in config_dicts:
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# start = time.time()
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# project_dir = os.path.realpath(config_dict.get('project').get('project_dir'))
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# seq_name = os.path.basename(project_dir)
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# frame_range = config_dict.get('project').get('frame_range')
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# frames = ["all frames" if frame_range == [] else f"frames {frame_range[0]} to {frame_range[1]}"][0]
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logging.info("\n\n---------------------------------------------------------------------")
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logging.info("Camera synchronization")
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logging.info("---------------------------------------------------------------------")
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logging.info(f"\nProject directory: {project_dir}")
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# logging.info("\n\n---------------------------------------------------------------------")
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# logging.info("Camera synchronization")
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# logging.info("---------------------------------------------------------------------")
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# logging.info(f"\nProject directory: {project_dir}")
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pose_estimation_all(config_dict)
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# pose_estimation_all(config_dict)
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end = time.time()
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logging.info(f'Pose estimation took {end-start:.2f} s.')
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# end = time.time()
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# logging.info(f'Pose estimation took {end-start:.2f} s.')
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def synchronization(config=None):
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@ -258,37 +258,37 @@ def synchronization(config=None):
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raise NotImplementedError('This has not been integrated yet. \nPlease read README.md for further explanation')
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#TODO
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# Determine the level at which the function is called (session:3, participant:2, trial:1)
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level, config_dicts = read_config_files(config)
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# #TODO
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# # Determine the level at which the function is called (session:3, participant:2, trial:1)
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# level, config_dicts = read_config_files(config)
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if type(config)==dict:
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config_dict = config_dicts[0]
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if config_dict.get('project').get('project_dir') == None:
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raise ValueError('Please specify the project directory in config_dict:\n \
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config_dict.get("project").update({"project_dir":"<YOUR_TRIAL_DIRECTORY>"})')
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# if type(config)==dict:
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# config_dict = config_dicts[0]
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# if config_dict.get('project').get('project_dir') == None:
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# raise ValueError('Please specify the project directory in config_dict:\n \
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# config_dict.get("project").update({"project_dir":"<YOUR_TRIAL_DIRECTORY>"})')
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# Set up logging
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session_dir = os.path.realpath(os.path.join(config_dicts[0].get('project').get('project_dir'), '..', '..'))
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setup_logging(session_dir)
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# # Set up logging
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# session_dir = os.path.realpath(os.path.join(config_dicts[0].get('project').get('project_dir'), '..', '..'))
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# setup_logging(session_dir)
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# Batch process all trials
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for config_dict in config_dicts:
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start = time.time()
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project_dir = os.path.realpath(config_dict.get('project').get('project_dir'))
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seq_name = os.path.basename(project_dir)
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frame_range = config_dict.get('project').get('frame_range')
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frames = ["all frames" if frame_range == [] else f"frames {frame_range[0]} to {frame_range[1]}"][0]
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# # Batch process all trials
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# for config_dict in config_dicts:
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# start = time.time()
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# project_dir = os.path.realpath(config_dict.get('project').get('project_dir'))
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# seq_name = os.path.basename(project_dir)
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# frame_range = config_dict.get('project').get('frame_range')
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# frames = ["all frames" if frame_range == [] else f"frames {frame_range[0]} to {frame_range[1]}"][0]
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logging.info("\n\n---------------------------------------------------------------------")
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logging.info("Camera synchronization")
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logging.info("---------------------------------------------------------------------")
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logging.info(f"\nProject directory: {project_dir}")
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# logging.info("\n\n---------------------------------------------------------------------")
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# logging.info("Camera synchronization")
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# logging.info("---------------------------------------------------------------------")
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# logging.info(f"\nProject directory: {project_dir}")
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synchronize_cams_all(config_dict)
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# synchronize_cams_all(config_dict)
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end = time.time()
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logging.info(f'Synchronization took {end-start:.2f} s.')
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# end = time.time()
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# logging.info(f'Synchronization took {end-start:.2f} s.')
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def personAssociation(config=None):
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@ -433,40 +433,40 @@ def opensimProcessing(config=None):
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raise NotImplementedError('This has not been integrated yet. \nPlease read README.md for further explanation')
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# TODO
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from Pose2Sim.opensimProcessing import opensim_processing_all
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# # TODO
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# from Pose2Sim.opensimProcessing import opensim_processing_all
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# Determine the level at which the function is called (session:3, participant:2, trial:1)
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level, config_dicts = read_config_files(config)
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# # Determine the level at which the function is called (session:3, participant:2, trial:1)
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# level, config_dicts = read_config_files(config)
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if type(config)==dict:
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config_dict = config_dicts[0]
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if config_dict.get('project').get('project_dir') == None:
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raise ValueError('Please specify the project directory in config_dict:\n \
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config_dict.get("project").update({"project_dir":"<YOUR_TRIAL_DIRECTORY>"})')
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# if type(config)==dict:
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# config_dict = config_dicts[0]
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# if config_dict.get('project').get('project_dir') == None:
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# raise ValueError('Please specify the project directory in config_dict:\n \
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# config_dict.get("project").update({"project_dir":"<YOUR_TRIAL_DIRECTORY>"})')
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# Set up logging
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session_dir = os.path.realpath(os.path.join(config_dicts[0].get('project').get('project_dir'), '..', '..'))
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setup_logging(session_dir)
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# # Set up logging
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# session_dir = os.path.realpath(os.path.join(config_dicts[0].get('project').get('project_dir'), '..', '..'))
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# setup_logging(session_dir)
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# Batch process all trials
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for config_dict in config_dicts:
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start = time.time()
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project_dir = os.path.realpath(config_dict.get('project').get('project_dir'))
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seq_name = os.path.basename(project_dir)
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frame_range = config_dict.get('project').get('frame_range')
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frames = ["all frames" if frame_range == [] else f"frames {frame_range[0]} to {frame_range[1]}"][0]
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# # Batch process all trials
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# for config_dict in config_dicts:
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# start = time.time()
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# project_dir = os.path.realpath(config_dict.get('project').get('project_dir'))
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# seq_name = os.path.basename(project_dir)
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# frame_range = config_dict.get('project').get('frame_range')
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# frames = ["all frames" if frame_range == [] else f"frames {frame_range[0]} to {frame_range[1]}"][0]
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logging.info("\n\n---------------------------------------------------------------------")
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# if static_file in project_dir:
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# logging.info(f"Scaling model with <STATIC TRC FILE>.")
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# else:
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# logging.info(f"Running inverse kinematics <MOTION TRC FILE>.")
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logging.info("---------------------------------------------------------------------")
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logging.info(f"\nOpenSim output directory: {project_dir}")
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# logging.info("\n\n---------------------------------------------------------------------")
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# # if static_file in project_dir:
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# # logging.info(f"Scaling model with <STATIC TRC FILE>.")
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# # else:
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# # logging.info(f"Running inverse kinematics <MOTION TRC FILE>.")
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# logging.info("---------------------------------------------------------------------")
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# logging.info(f"\nOpenSim output directory: {project_dir}")
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opensim_processing_all(config_dict)
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# opensim_processing_all(config_dict)
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end = time.time()
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logging.info(f'Model scaling took {end-start:.2f} s.')
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# end = time.time()
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# logging.info(f'Model scaling took {end-start:.2f} s.')
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