cosolve_report Namespace Reference

This module focuses on analyzing the cosolve data collected to generate a report. More...

Functions
def	analyze_human_effort (file_path, mask)
def	analyze_human_tending (file_path)
def	analyze_progress (file_path)
def	analyze_robot_effort (file_path, mask, progress_start_time=None, output_figure_path="robot_effort_over_time.png")
def	classify_action (row, mask)
def	compute_duration (row)
def	generate_plots (solve_effort, progress, output_figure_path, mask)
def	getCameraExtrinsics ()
def	label_at_pixel (x_coord, y_coord, mask)
def	main (args)
def	normalize_timestamp (timestamp, reference_time)
def	parse_arguments ()
def	robot_estimate (perf_model_file, effort_file, mask)

Variables
def	arguments = parse_arguments()
	home = str(Path.home())
	manCfg = ROSConfig()
	manipulation_cfg_file = os.path.join(mary_autonomy, "config", "manipulation.yaml")
	mary_autonomy = rpkg.get_path("mary_autonomy")
	maryCalPath = rpkg.get_path("mary_calibrate")
string	PERF_MODEL = home + "/visman/mary_ws/src/Mary_ROS/ros/analysis/performance.yaml"
string	PROGRESS = home + "visman/Research_Data/Nihit_trial/Direct_Place_Tending/trial_1/progress_20260505_140920.csv"
	rpkg = rospkg.RosPack()
int	SOLUTION_LABEL = 5
string	SOLVE_EFFORT = home + "/visman/mary_ws/src/Mary_ROS/ros/analysis/trial_1/solve_effort_20260505_140920.csv"
string	TEND = home + "/visman/Research_Data/Nihit_trial/Direct_Place_Tending/trial_1/tending_times_20260505_140920.csv"
int	UNORGANIZED_LABEL = 6
	zoneDet = regact.imageRegions.load(zoneFile)
	zoneFile = os.path.join(maryCalPath, "config", manCfg.perception.sort)
list	ZONES = [i for i in range(1, SOLUTION_LABEL)]
	zones_mask = zoneDet.imRegions

Detailed Description

This module focuses on analyzing the cosolve data collected to generate a report.

Co-Solve stats : robot activity counts (# sort actions, # place actions, # direct place actions) human activity counts - estimates: # sort actions, # place actions. Human: total time sort, total time place. Human: total tend time Robot: total time sort, total time place, total time direct place. Robot model to estimate time spent picking and placing given number of pieces.

Function Documentation

analyze_human_effort()

def analyze_human_effort	(		file_path,
			mask
	)

analyze_human_tending()

def analyze_human_tending

(

file_path

)

analyze_progress()

def analyze_progress

(

file_path

)

analyze_robot_effort()

def analyze_robot_effort	(		file_path,
			mask,
			progress_start_time = None,
			output_figure_path = "robot_effort_over_time.png"
	)

classify_action()

def classify_action	(		row,
			mask
	)

compute_duration()

def compute_duration

(

row

)

generate_plots()

def generate_plots	(		solve_effort,
			progress,
			output_figure_path,
			mask
	)

getCameraExtrinsics()

def getCameraExtrinsics

(

)

label_at_pixel()

def label_at_pixel	(		x_coord,
			y_coord,
			mask
	)

main()

def main

(

args

)

normalize_timestamp()

def normalize_timestamp	(		timestamp,
			reference_time
	)

parse_arguments()

def parse_arguments

(

)

robot_estimate()

def robot_estimate	(		perf_model_file,
			effort_file,
			mask
	)

Variable Documentation

arguments

def arguments = parse_arguments()

home

home = str(Path.home())

manCfg

manCfg = ROSConfig()

manipulation_cfg_file

manipulation_cfg_file = os.path.join(mary_autonomy, "config", "manipulation.yaml")

mary_autonomy

mary_autonomy = rpkg.get_path("mary_autonomy")

maryCalPath

maryCalPath = rpkg.get_path("mary_calibrate")

PERF_MODEL

string PERF_MODEL = home + "/visman/mary_ws/src/Mary_ROS/ros/analysis/performance.yaml"

PROGRESS

string PROGRESS = home + "visman/Research_Data/Nihit_trial/Direct_Place_Tending/trial_1/progress_20260505_140920.csv"

rpkg

rpkg = rospkg.RosPack()

SOLUTION_LABEL

int SOLUTION_LABEL = 5

SOLVE_EFFORT

string SOLVE_EFFORT = home + "/visman/mary_ws/src/Mary_ROS/ros/analysis/trial_1/solve_effort_20260505_140920.csv"

TEND

string TEND = home + "/visman/Research_Data/Nihit_trial/Direct_Place_Tending/trial_1/tending_times_20260505_140920.csv"

UNORGANIZED_LABEL

int UNORGANIZED_LABEL = 6

zoneDet

zoneDet = regact.imageRegions.load(zoneFile)

zoneFile

zoneFile = os.path.join(maryCalPath, "config", manCfg.perception.sort)

ZONES

list ZONES = [i for i in range(1, SOLUTION_LABEL)]

zones_mask

zones_mask = zoneDet.imRegions