diff --git a/TODOS_2024-03-23 b/TODOS_2024-03-23 new file mode 100644 index 0000000000000000000000000000000000000000..e9c3b94327794be2d5173d9a705110667744e4f9 --- /dev/null +++ b/TODOS_2024-03-23 @@ -0,0 +1,15 @@ +in order of priority +-------------------- +1. real-time plotting (need to see what's happening as it's happening, + this is here primarily to aid in debugging) +---> have a list of what's possible to plot and then select what's selected +2. debug dmp end-of-trajectory shennanigans +3. implement compliantMoveL +4. fix getMarkerOffset +5. add waypoints to marker pick up +6. fix anything that looks problematic in drawing +7. switch to robot_manager.step() to ensure you're not double-computing things +8. implement cartesian dmp +9. faster visualizing (process in a different thread) + + diff --git a/python/examples/clik.py b/python/examples/clik.py index 3a32ec245b32caf0e7f670ec1aec9a516bfdd575..cf298c24f8495e6e8a6873f43765b4fd4f4f10df 100644 --- a/python/examples/clik.py +++ b/python/examples/clik.py @@ -3,7 +3,7 @@ import argparse from functools import partial from ur_simple_control.managers import ControlLoopManager, RobotManager # TODO merge the 2 clik files -from ur_simple_control.clik.clik_point_to_point import getClikController, controlLoopClik +from ur_simple_control.clik.clik_point_to_point import getClikController, controlLoopClik, moveL # TODO write this in managers and automate name generation from ur_simple_control.util.logging_utils import saveLog @@ -31,8 +31,10 @@ def get_args(): help="whether you are running the UR simulator", default=False) parser.add_argument('--pinocchio-only', action=argparse.BooleanOptionalAction, help="whether you want to just integrate with pinocchio", default=False) - parser.add_argument('--visualize', action=argparse.BooleanOptionalAction, - help="whether you want to visualize with gepetto, but NOTE: not implemented yet", default=False) + parser.add_argument('--visualize-manipulator', action=argparse.BooleanOptionalAction, + help="whether you want to visualize the manipulator and workspace with meshcat", default=False) + parser.add_argument('--real-time-plotting', action=argparse.BooleanOptionalAction, + help="whether you want to have some real-time matplotlib graphs (parts of log_dict you select)", default=False) parser.add_argument('--gripper', action=argparse.BooleanOptionalAction, \ help="whether you're using the gripper", default=False) parser.add_argument('--goal-error', type=float, \ @@ -73,16 +75,18 @@ if __name__ == "__main__": Mgoal = robot.defineGoalPointCLI() clik_controller = getClikController(args) controlLoop = partial(controlLoopClik, robot, clik_controller) - log_dict = { - 'qs' : np.zeros((args.max_iterations, robot.model.nq)), - 'dqs' : np.zeros((args.max_iterations, robot.model.nq)), + log_item = { + 'qs' : np.zeros(robot.model.nq), + 'dqs' : np.zeros(robot.model.nq), } # we're not using any past data or logging, hence the empty arguments - loop_manager = ControlLoopManager(robot, controlLoop, args, {}, log_dict) + loop_manager = ControlLoopManager(robot, controlLoop, args, {}, log_item) # TODO create a logging function in util. # something that generates a file name from something in args. # also save args there log_dict, final_iteration = loop_manager.run() + if args.save_log: saveLog(log_dict, final_iteration, args) + loop_manager.stopHandler(None, None) diff --git a/python/examples/drawing_from_input_drawing.py b/python/examples/drawing_from_input_drawing.py index a0b8d642c6528d79754ac34332f0e72a11473710..850fd255c8215692608de0309f8eb485d5626b67 100644 --- a/python/examples/drawing_from_input_drawing.py +++ b/python/examples/drawing_from_input_drawing.py @@ -11,6 +11,7 @@ import pinocchio as pin import numpy as np import matplotlib.pyplot as plt +import matplotlib import copy import argparse import time @@ -46,9 +47,10 @@ def getArgs(): help="whether you want to just integrate with pinocchio.\ NOTE: doesn't actually work because it's not a physics simulator", \ default=False) - parser.add_argument('--visualize', action=argparse.BooleanOptionalAction, - help="whether you want to visualize with gepetto, but \ - NOTE: not implemented yet", default=False) + parser.add_argument('--visualize-manipulator', action=argparse.BooleanOptionalAction, + help="whether you want to visualize the manipulator and workspace with meshcat", default=False) + parser.add_argument('--real-time-plotting', action=argparse.BooleanOptionalAction, + help="whether you want to have some real-time matplotlib graphs (parts of log_dict you select)", default=False) parser.add_argument('--gripper', action=argparse.BooleanOptionalAction, \ help="whether you're using the gripper", default=False) parser.add_argument('--acceleration', type=float, \ @@ -196,11 +198,11 @@ def getMarker(args, robot): # instantiate controller clik_controller = getClikController(args) controlLoop = partial(controlLoopClik, robot, clik_controller) - log_dict = { - 'qs' : np.zeros((args.max_iterations, robot.model.nq)), - 'dqs' : np.zeros((args.max_iterations, robot.model.nq)), + log_item = { + 'qs' : np.zeros(robot.model.nq), + 'dqs' : np.zeros(robot.model.nq), } - loop_manager = ControlLoopManager(robot, controlLoop, args, {}, log_dict) + loop_manager = ControlLoopManager(robot, controlLoop, args, {}, log_item) print("going to above marker") robot.Mgoal = TgoalUP.copy() @@ -372,10 +374,13 @@ def controlLoopWriting(dmp, tc, controller, robot, i, past_data): log_item['dmp_poss'] = dmp.pos.reshape((6,)) log_item['dqs'] = dq.reshape((6,)) log_item['dmp_vels'] = dmp.vel.reshape((6,)) + log_item['wrench'] = wrench.reshape((6,)) + log_item['tau'] = tau.reshape((6,)) return breakFlag, save_past_dict, log_item if __name__ == "__main__": + ####################################################################### # software setup # ####################################################################### @@ -394,7 +399,10 @@ if __name__ == "__main__": # draw the path on the screen if args.draw_new: + # pure evil way to solve a bug that was pure evil + matplotlib.use('tkagg') pixel_path = drawPath(args) + matplotlib.use('qtagg') # make it 3D else: pixel_path_file_path = './path_in_pixels.csv' @@ -496,10 +504,10 @@ if __name__ == "__main__": # TODO test whether this works (it should, but test it) # test the interplay between this and the speed slider # ---> SPEED SLIDER HAS TO BE AT 1.0 - v_max_ndarray = np.ones(robot.n_joints) * robot.max_qd #* args.speed_slider + v_max_ndarray = np.ones(robot.n_arm_joints) * robot.max_qd #* args.speed_slider # test the interplay between this and the speed slider # args.acceleration is the actual maximum you're using - a_max_ndarray = np.ones(robot.n_joints) * args.acceleration #* args.speed_slider + a_max_ndarray = np.ones(robot.n_arm_joints) * args.acceleration #* args.speed_slider tc = TCVelAccConstrained(args.gamma_nominal, args.gamma_a, v_max_ndarray, a_max_ndarray, args.eps_tc) # TODO and NOTE the weight, TCP and inertial matrix needs to be set on the robot @@ -515,14 +523,14 @@ if __name__ == "__main__": 'wrench' : np.zeros(6), } # here you give it it's initial value - log_dict = { - 'qs' : np.zeros((args.max_iterations, 6)), - 'dmp_poss' : np.zeros((args.max_iterations, 6)), - 'dqs' : np.zeros((args.max_iterations, 6)), - 'dmp_vels' : np.zeros((args.max_iterations, 6)), + log_item = { + 'qs' : np.zeros(robot.n_arm_joints), + 'dmp_poss' : np.zeros(robot.n_arm_joints), + 'dqs' : np.zeros(robot.n_arm_joints), + 'dmp_vels' : np.zeros(robot.n_arm_joints), + 'wrench' : np.zeros(6), + 'tau' : np.zeros(robot.n_arm_joints), } - controlLoop = partial(controlLoopWriting, dmp, tc, controller, robot) - loop_manager = ControlLoopManager(robot, controlLoop, args, save_past_dict, log_dict) ####################################################################### # physical setup # ####################################################################### @@ -545,12 +553,17 @@ if __name__ == "__main__": mtool = robot.getMtool(q_given=first_q) #mtool.translation[1] = mtool.translation[1] - 0.0035 mtool.translation[1] = mtool.translation[1] - 0.012 + if args.debug_prints: + print("im at:", robot.getMtool()) + print("going to:", mtool) print('going to starting write position') # TODO: write a compliantMoveL - be careful that everything is in the body frame # since your jacobian is the body jacobian!!! moveL(args, robot, mtool) #moveJ(args, robot, dmp.pos.reshape((6,))) + controlLoop = partial(controlLoopWriting, dmp, tc, controller, robot) + loop_manager = ControlLoopManager(robot, controlLoop, args, save_past_dict, log_item) # and now we can actually run log_dict, final_iteration = loop_manager.run() #loop_manager.stopHandler(None, None) diff --git a/python/examples/joint_trajectory.csv b/python/examples/joint_trajectory.csv index 2dbab5ec77811f0bc1d807f76d62cb0b9eec2fdc..27c72f430fa4e4ff3f77a6cbf2068d54142a8464 100644 --- a/python/examples/joint_trajectory.csv +++ 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a/python/ur_simple_control/clik/__pycache__/clik_trajectory_following.cpython-311.pyc and b/python/ur_simple_control/clik/__pycache__/clik_trajectory_following.cpython-311.pyc differ diff --git a/python/ur_simple_control/clik/clik_point_to_point.py b/python/ur_simple_control/clik/clik_point_to_point.py index ba8399c1675a5522e05d691cb9155eefdb023440..ca9cc340f3c6f65591ff30ba64b63f11b3c381cf 100644 --- a/python/ur_simple_control/clik/clik_point_to_point.py +++ b/python/ur_simple_control/clik/clik_point_to_point.py @@ -27,6 +27,8 @@ def get_args(): formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument('--simulation', action=argparse.BooleanOptionalAction, help="whether you are running the UR simulator", default=False) + parser.add_argument('--debug_prints', action=argparse.BooleanOptionalAction, + help="print some info for debugging", default=False) parser.add_argument('--pinocchio-only', action=argparse.BooleanOptionalAction, help="whether you want to just integrate with pinocchio", default=False) parser.add_argument('--visualize', action=argparse.BooleanOptionalAction, @@ -225,7 +227,11 @@ def moveL(args, robot, goal_point): clik_controller = getClikController(args) controlLoop = partial(controlLoopClik, robot, clik_controller) # we're not using any past data or logging, hence the empty arguments - loop_manager = ControlLoopManager(robot, controlLoop, args, {}, {}) + log_item = { + 'qs' : np.zeros(robot.model.nq), + 'dqs' : np.zeros(robot.model.nq), + } + loop_manager = ControlLoopManager(robot, controlLoop, args, {}, log_item) log_dict, final_iteration = loop_manager.run() # TODO: remove, this isn't doing anything time.sleep(0.01) diff --git a/python/ur_simple_control/clik/clik_trajectory_following.py b/python/ur_simple_control/clik/clik_trajectory_following.py index c57b099427e0c0c03a5048b52cbfc26c634c43d6..621be7dc9234cc8bc663b6f0d9c5bb9ccc6bf797 100644 --- a/python/ur_simple_control/clik/clik_trajectory_following.py +++ b/python/ur_simple_control/clik/clik_trajectory_following.py @@ -130,7 +130,10 @@ def clikCartesianPathIntoJointPath(path, args, robot, \ else: if i == args.max_running_clik_iterations - 1: print("DID NOT CONVERGE -- exiting") - ControlLoopManager.stopHandler(None, None) + # nothing is moving + # and i'm not even using a manager here + # so no need, right? + #ControlLoopManager.stopHandler(None, None, None) exit() ############################################## diff --git a/python/ur_simple_control/dmp/__pycache__/dmp.cpython-311.pyc b/python/ur_simple_control/dmp/__pycache__/dmp.cpython-311.pyc index b69c2546b2f2d3fb8359d3d6fa2b74bce0dfc2e6..dfdea907d28b992845d18251ccc1b2c9062a2a40 100644 Binary files a/python/ur_simple_control/dmp/__pycache__/dmp.cpython-311.pyc and b/python/ur_simple_control/dmp/__pycache__/dmp.cpython-311.pyc differ diff --git a/python/ur_simple_control/managers.py b/python/ur_simple_control/managers.py index 716a238d6d44df1c272c3c5decf47050f656e220..7d0f8e9a48bc5827029d7a6b2f539d9f9979b0a0 100644 --- a/python/ur_simple_control/managers.py +++ b/python/ur_simple_control/managers.py @@ -16,8 +16,9 @@ import copy import signal from ur_simple_control.util.get_model import get_model from collections import deque -from ur_simple_control.visualize.visualize import plotFromDict +from ur_simple_control.visualize.visualize import plotFromDict, realTimePlotter from pinocchio.visualize import MeshcatVisualizer +from multiprocessing import Process, Queue """ general notes @@ -99,30 +100,51 @@ Other info: """ class ControlLoopManager: - def __init__(self, robot_manager, controlLoop, args, save_past_dict, log_dict): + def __init__(self, robot_manager, controlLoop, args, save_past_item, log_item): signal.signal(signal.SIGINT, self.stopHandler) self.max_iterations = args.max_iterations self.robot_manager = robot_manager self.controlLoop = controlLoop + self.final_iteration = -1 # because we didn't even start yet self.args = args self.past_data = {} # save_past_dict has to have the key and 1 example of what you're saving # so that it's type can be inferred (but we're in python so types don't really work). # the good thing is this way you also immediatelly put in the initial values - for key in save_past_dict: + for key in save_past_item: self.past_data[key] = deque() # immediatelly populate every deque with initial values - for i in range(args.past_window_size): + for i in range(self.args.past_window_size): # deepcopy just in case, better safe than sorry plus it's during initialization, # not real time - self.past_data[key].append(copy.deepcopy(save_past_dict[key])) + self.past_data[key].append(copy.deepcopy(save_past_item[key])) # similar story for log_dict as for past_data, # except this is not used in the control loop, - # and we pre-declare the sizes - # TODO the itialization is done on client side, - # but i want to do it here. this is a big ick - self.log_dict = log_dict + # we don't predeclare sizes, but instead + # just shove items into linked lists (python lists) in dictionaries (hash-maps) + self.log_dict = {} + for key in log_item: + self.log_dict[key] = [] + + if self.args.real_time_plotting: + self.plotter_queue = Queue() + if args.debug_prints: + print("CONTROL_LOOP_MANAGER", self.controlLoop, ": i created queue:", self.plotter_queue) + print("CONTROL_LOOP_MANAGER: i am creating and starting the real-time-plotter process") + self.real_time_plotter_process = Process(target=realTimePlotter, + args=(self.args, self.plotter_queue, )) + # give real-time plotter some time to set itself up + self.real_time_plotter_process.start() + if args.debug_prints: + print("CONTROL_LOOP_MANAGER: real_time_plotter started") + # wait for feedback that the thing has started + self.plotter_queue.get() + self.plotter_queue.put(log_item) + if args.debug_prints: + print("CONTROL_LOOP_MANAGER: i managed to put initializing log_item to queue") + # let it boot up, hope you're not in a hurry lmao + time.sleep(1) """ run @@ -138,7 +160,9 @@ class ControlLoopManager: start = time.time() # TODO make the arguments to controlLoop kwargs or whatever # so that you don't have to declare them on client side if you're not using them - breakFlag, latest_to_save_dict, log_entry_dict = self.controlLoop(i, self.past_data) + breakFlag, latest_to_save_dict, log_item = self.controlLoop(i, self.past_data) + self.final_iteration = i + # update past rolling window # TODO: write an assert assuring the keys are what's been promised # (ideally this is done only once, not every time, so think whether/how that can be avoided) @@ -151,21 +175,35 @@ class ControlLoopManager: # log the data # check that you can # TODO only need to check this once, pls enforce better - for key in log_entry_dict: - if key not in self.log_dict.keys(): - break - #self.robot_manager.stopHandler(None, None) - self.log_dict[key][i] = log_entry_dict[key] + #if len(self.log_dict) > 0: + for key in log_item: + #if key not in self.log_dict.keys(): + # raise KeyError("you need to provide log items you promised!") + # break + #self.robot_manager.stopHandler(None, None) + self.log_dict[key].append(log_item[key]) - # TODO: offload this to a different - # process, it's hindering real-time performance (not by a lot, - # but it does) - if self.args.visualize: - if i % 20 == 0: + if i % 20 == 0: + # TODO: offload this to a different + # process, it's hindering real-time performance (not by a lot, + # but it does) + # --> replicate what's done for real_time_plotting + if self.args.visualize_manipulator: self.robot_manager.viz.display(self.robot_manager.q) + if self.args.real_time_plotting: + # don't put new stuff in if it didn't handle the previous stuff. + # it's a plotter, who cares if it's late. + # the number 5 is arbitrary + if self.plotter_queue.qsize() < 5: + self.plotter_queue.put_nowait(log_item) + if self.args.debug_prints: + print("queue size status:", self.plotter_queue.qsize()) + # break if done if breakFlag: break + + # sleep for the rest of the frequency cycle end = time.time() diff = end - start if self.robot_manager.dt < diff: @@ -174,13 +212,29 @@ class ControlLoopManager: continue else: time.sleep(self.robot_manager.dt - diff) - self.final_iteration = i + + if self.args.debug_prints: if i < self.max_iterations -1: print("success in", i, "iterations!") else: print("FAIL: did not succed in", max_iterations, "iterations") + if self.args.real_time_plotting: + if self.args.debug_prints: + print("i am putting befree in plotter_queue to stop the real time visualizer") + self.plotter_queue.put_nowait("befree") + # just fcks me over when i call again from stopHandler, + # and that really needs to work + #self.plotter_queue.close() + # give it time to become free + time.sleep(0.1) + self.real_time_plotter_process.join() + + # now turn the logs into numpy arrays + for key in self.log_dict: + self.log_dict[key] = np.array(self.log_dict[key]) + return self.log_dict, self.final_iteration """ @@ -196,15 +250,30 @@ class ControlLoopManager: print('sending 300 speedjs full of zeros and exiting') for i in range(300): vel_cmd = np.zeros(6) - self.robot_manager.rtde_control.speedJ(vel_cmd, 0.1, 1.0 / 500) + #self.robot_manager.rtde_control.speedJ(vel_cmd, 0.1, 1.0 / 500) + self.robot_manager.sendQd(vel_cmd) # hopefully this actually stops it - self.robot_manager.rtde_control.speedStop(1) - print("sending a stopj as well") - self.robot_manager.rtde_control.stopJ(1) - print("putting it to freedrive for good measure too") - self.robot_manager.rtde_control.freedriveMode() + if not self.args.pinocchio_only: + self.robot_manager.rtde_control.speedStop(1) + print("sending a stopj as well") + self.robot_manager.rtde_control.stopJ(1) + print("putting it to freedrive for good measure too") + self.robot_manager.rtde_control.freedriveMode() + + # need to turn logs into ndarrays here too + for key in self.log_dict: + self.log_dict[key] = np.array(self.log_dict[key]) plotFromDict(self.log_dict, self.final_iteration, self.args) - self.robot_manager.rtde_control.endFreedriveMode() + + if not self.args.pinocchio_only: + self.robot_manager.rtde_control.endFreedriveMode() + # TODO: add visualizer here too + if self.args.real_time_plotting: + if self.args.debug_prints: + print("i am putting befree in plotter_queue to stop the real time visualizer") + self.plotter_queue.put_nowait("befree") + self.real_time_plotter_process.join() + #exit() """ robotmanager: @@ -243,7 +312,7 @@ class RobotManager: # we're using meshcat exclusively. # there are no good options, # but this does work and isn't a dead project - if args.visualize: + if args.visualize_manipulator: # for whatever reason the hand-e files don't have/ # meshcat can't read scaling information. # so we scale manually @@ -256,6 +325,48 @@ class RobotManager: self.viz = MeshcatVisualizer(self.model, self.collision_model, self.visual_model) self.viz.initViewer(open=True) self.viz.loadViewerModel() + # give meshcat some time to start (not really necessary, but + # you yourself need some time to clik on the browser, + # and you probably want the viz to be initialized + # before the robot starts moving) + time.sleep(2) +# if args.real_time_plotting: +# self.plotter_queue = Queue() +# self.real_time_plotter_process = Process(target=realTimePlotter, +# args=(self.plotter_queue, )) +# # give real-time plotter some time to set itself up +# self.real_time_plotter_process.start() +# time.sleep(0.5) + + # ur specific magic numbers + # NOTE: all of this is ur-specific, and needs to be if-ed if other robots are added. + # TODO: this is 8 in pinocchio and that's what you actually use + # if we're being real lmao + # the TODO here is make this consistent obviously + self.n_arm_joints = 6 + # last joint because pinocchio adds base frame as 0th joint. + # and since this is unintuitive, we add the other variable too + # so that the control designer doesn't need to think about such bs + self.JOINT_ID = 6 + self.update_rate = 500 #Hz + self.dt = 1 / self.update_rate + # you better not give me crazy stuff + # and i'm not clipping it, you're fixing it + assert args.acceleration <= 1.7 and args.acceleration > 0.0 + # this is the number passed to speedj + self.acceleration = args.acceleration + # NOTE: this is evil and everything only works if it's set to 1 + # you really should control the acceleration via the acceleration argument. + assert args.speed_slider <= 1.0 and args.acceleration > 0.0 + # TODO: these are almost certainly higher + # NOTE and TODO: speed slider is evil, put it to 1, handle the rest yourself. + # NOTE: i have no idea what's the relationship between max_qdd and speed slider + #self.max_qdd = 1.7 * args.speed_slider + # NOTE: this is an additional kinda evil speed limitation (by this code, not UR). + # we're clipping joint velocities with this. + # if your controllers are not what you expect, you might be commanding a very high velocity, + # which is clipped, resulting in unexpected movement. + self.max_qd = 0.5 * args.speed_slider # TODO: make general @@ -298,38 +409,9 @@ class RobotManager: self.rtde_receive = RTDEReceiveInterface("127.0.0.1") self.rtde_io = RTDEIOInterface("127.0.0.1") - # ur specific magic numbers - # NOTE: all of this is ur-specific, and needs to be if-ed if other robots are added. - # TODO: this is 8 in pinocchio and that's what you actually use - # if we're being real lmao - # the TODO here is make this consistent obviously - self.n_arm_joints = 6 - # last joint because pinocchio adds base frame as 0th joint. - # and since this is unintuitive, we add the other variable too - # so that the control designer doesn't need to think about such bs - self.JOINT_ID = 6 - self.update_rate = 500 #Hz - self.dt = 1 / self.update_rate - # you better not give me crazy stuff - # and i'm not clipping it, you're fixing it - assert args.acceleration <= 1.7 and args.acceleration > 0.0 - # this is the number passed to speedj - self.acceleration = args.acceleration - # NOTE: this is evil and everything only works if it's set to 1 - # you really should control the acceleration via the acceleration argument. - assert args.speed_slider <= 1.0 and args.acceleration > 0.0 self.speed_slider = args.speed_slider if not args.pinocchio_only: self.rtde_io.setSpeedSlider(args.speed_slider) - # TODO: these are almost certainly higher - # NOTE and TODO: speed slider is evil, put it to 1, handle the rest yourself. - # NOTE: i have no idea what's the relationship between max_qdd and speed slider - #self.max_qdd = 1.7 * args.speed_slider - # NOTE: this is an additional kinda evil speed limitation (by this code, not UR). - # we're clipping joint velocities with this. - # if your controllers are not what you expect, you might be commanding a very high velocity, - # which is clipped, resulting in unexpected movement. - self.max_qd = 0.5 * args.speed_slider """ calibrateFT @@ -536,7 +618,10 @@ class RobotManager: return wrench def getWrench(self): - self.wrench = np.array(self.rtde_receive.getActualTCPForce()) - self.wrench_offset + if not self.pinocchio_only: + self.wrench = np.array(self.rtde_receive.getActualTCPForce()) - self.wrench_offset + else: + self.wrench = np.random.random(self.n_arm_joints) return self.wrench.copy() """ @@ -559,6 +644,13 @@ class RobotManager: self.rtde_control.speedJ(qd_cmd, self.acceleration, self.dt) else: # this one takes all 8 elements of qd since we're still in pinocchio + # this is ugly, todo: fix + if len(qd) == 6: + qd = qd.reshape((6,)) + qd = list(qd) + qd.append(0.0) + qd.append(0.0) + qd = np.array(qd) self.q = pin.integrate(self.model, self.q, qd * self.dt) diff --git a/python/ur_simple_control/util/__pycache__/calib_board_hacks.cpython-311.pyc b/python/ur_simple_control/util/__pycache__/calib_board_hacks.cpython-311.pyc index 57e83edc7c7b02ed7d437219bc112d7cbf82253b..8d53c29d36e0513077275e824e0101c7fff95fe1 100644 Binary files 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a/python/ur_simple_control/util/draw_path.py b/python/ur_simple_control/util/draw_path.py index 4a54dca26f391b847aa8811f09a76e632748e387..b06db178645e9bdce5a13178429b022089c150a6 100644 --- a/python/ur_simple_control/util/draw_path.py +++ b/python/ur_simple_control/util/draw_path.py @@ -18,6 +18,7 @@ import matplotlib.pyplot as plt # Thus it is the correct tool for the job and there's no need # to reimplement it from mouse events. from matplotlib.widgets import LassoSelector +from ur_simple_control.clik.clik_point_to_point import get_args # Path is the most generic matplotlib class. # It has some convenient functions to handle the draw line, # i.e. collection of points, but just refer to matplotlib @@ -45,7 +46,7 @@ class DrawPathManager: # made to save and exit def accept(self, event): if event.key == "enter": - if args.debug_prints: + if self.args.debug_prints: print("pixel path:") print(self.path) self.disconnect() @@ -74,4 +75,12 @@ def drawPath(args): if __name__ == '__main__': + args = get_args() drawPath(args) + #plt.ion() + #fig = plt.figure() + #canvas = fig.canvas + #ax = fig.add_subplot(111) + #ax.plot(np.arange(100), np.sin(np.arange(100))) + #canvas.draw() + #canvas.flush_events() diff --git a/python/ur_simple_control/util/path_in_pixels.csv b/python/ur_simple_control/util/path_in_pixels.csv new file mode 100644 index 0000000000000000000000000000000000000000..99a805f95b3f92eb11cb419ff1357cc0df1d666e --- /dev/null +++ b/python/ur_simple_control/util/path_in_pixels.csv @@ -0,0 +1,17 @@ +0.19034,0.61585 +0.22610,0.61585 +0.24249,0.61585 +0.25590,0.61585 +0.27229,0.62037 +0.31848,0.62037 +0.33189,0.62037 +0.34828,0.62037 +0.40788,0.62037 +0.42576,0.62490 +0.43321,0.62490 +0.48387,0.63093 +0.49877,0.63093 +0.50771,0.63093 +0.52410,0.63395 +0.52261,0.63395 +0.52261,0.63395 diff --git a/python/ur_simple_control/visualize/__pycache__/make_run.cpython-311.pyc b/python/ur_simple_control/visualize/__pycache__/make_run.cpython-311.pyc index 23e19ea34b35ec3423378895ac32ab709f55df04..00cb31d5333325fb66550d6d78158995c55770a6 100644 Binary files a/python/ur_simple_control/visualize/__pycache__/make_run.cpython-311.pyc and b/python/ur_simple_control/visualize/__pycache__/make_run.cpython-311.pyc differ diff --git a/python/ur_simple_control/visualize/__pycache__/visualize.cpython-311.pyc b/python/ur_simple_control/visualize/__pycache__/visualize.cpython-311.pyc index 44f507b6f1ebdeda62574ea70174ab2afce3bc34..ceacac05da4b5625053574aeb600448166a3a142 100644 Binary files a/python/ur_simple_control/visualize/__pycache__/visualize.cpython-311.pyc and b/python/ur_simple_control/visualize/__pycache__/visualize.cpython-311.pyc differ diff --git a/python/ur_simple_control/visualize/manipulator_visual_motion_analyzer.py b/python/ur_simple_control/visualize/manipulator_visual_motion_analyzer.py index 59952dc1d02ab557f1ff176a436e9bb7495d3802..e949abd66610a22caf14e894e8144b76b539f8f5 100644 --- a/python/ur_simple_control/visualize/manipulator_visual_motion_analyzer.py +++ b/python/ur_simple_control/visualize/manipulator_visual_motion_analyzer.py @@ -879,6 +879,7 @@ if __name__ == "__main__": log_data_file_name = "/home/gospodar/lund/praxis/projects/ur_simple_control/python/examples/data/clik_run_001.pickle" args_file_name = "/home/gospodar/lund/praxis/projects/ur_simple_control/python/examples/data/clik_run_001_args.pickle" log_data, args = loadRunForAnalysis(log_data_file_name, args_file_name) + args.visualize_manipulator = False log_data = cleanUpRun(log_data, log_data['qs'].shape[0], 200) robot = RobotManager(args) log_data = loadRun(args, robot, log_data) diff --git a/python/ur_simple_control/visualize/robot_stuff/__pycache__/InverseKinematics.cpython-311.pyc b/python/ur_simple_control/visualize/robot_stuff/__pycache__/InverseKinematics.cpython-311.pyc index 81bc2f37aa231c526f812026231dd727fce4febf..ae4581af57977272c8b86b55b63a71b9070d48bf 100644 Binary files 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a/python/ur_simple_control/visualize/robot_stuff/__pycache__/webots_api_helper_funs.cpython-311.pyc and b/python/ur_simple_control/visualize/robot_stuff/__pycache__/webots_api_helper_funs.cpython-311.pyc differ diff --git a/python/ur_simple_control/visualize/visualize.py b/python/ur_simple_control/visualize/visualize.py index 4c7f71e165100d56a01d20fcd83d075e6847334e..6d8491efa669a753dab35222a26693e43ede3b93 100644 --- a/python/ur_simple_control/visualize/visualize.py +++ b/python/ur_simple_control/visualize/visualize.py @@ -1,5 +1,36 @@ import numpy as np import matplotlib.pyplot as plt +from collections import deque, namedtuple +import time +import copy + +# tkinter stuff +from matplotlib.backends.backend_tkagg import (FigureCanvasTkAgg, NavigationToolbar2Tk) +from tkinter import * +from tkinter.ttk import * + +# rows and cols are flipped lel +def getNRowsMColumnsFromTotalNumber(n_plots): + if n_plots == 1: + n_cols = 1 + n_rows = 1 + if n_plots == 2: + n_rows = 2 + n_cols = 1 + # i'm not going to bother with differently sized plots + if (n_plots == 3) or (n_plots == 4): + n_cols = 2 + n_rows = 2 + if (n_plots == 5) or (n_plots == 6): + n_cols = 2 + n_rows = 3 + if (n_plots >= 7) and (n_plots <= 9): + n_cols = 3 + n_rows = 3 + if n_plots >= 10: + raise NotImplementedError("sorry, you can only do up to 9 plots. more require tabs, and that's future work") + return n_rows, n_cols + """ plotFromDict @@ -9,18 +40,14 @@ plots logs stored in a dictionary is what you plot """ def plotFromDict(plot_data, final_iteration, args): - # TODO cut zeros from data - # TODO: replace with actual time - # --> you should be able to extract/construct this from dmp data - # or some timing + # TODO: replace with actual time ( you know what dt is from args) t = np.arange(final_iteration) - # TODO make the plot number assignment general - n_cols = 2 - n_rows = 2 + n_cols, n_rows = getNRowsMColumnsFromTotalNumber(len(plot_data)) # this is what subplot wants subplot_col_row = str(n_cols) + str(n_rows) ax_dict ={} - # TODO: choose a nice color palette + # NOTE: cutting off after final iterations is a vestige from a time + # when logs were prealocated arrays, but it ain't hurtin' nobody as it is for i, data_key in enumerate(plot_data): colors = plt.cm.jet(np.linspace(0, 1, plot_data[data_key].shape[1])) ax_dict[data_key] = plt.subplot(int(subplot_col_row + str(i + 1))) @@ -30,9 +57,102 @@ def plotFromDict(plot_data, final_iteration, args): plt.show() -# you need to write out specifications for this. -# only then implement. -# this is too fucked to try to do it from your head -#class RealTimePlotter: -# def __init__(self, TODO): +""" +realTimePlotter +--------------- +- true to its name +""" +# STUPID MATPLOTLIB CAN'T HANDLE MULTIPLE FIGURES FROM DIFFERENT PROCESS +# LITERALLY REFUSES TO GET ME A FIGURE +def realTimePlotter(args, queue): + if args.debug_prints: +# print("REAL_TIME_PLOTTER: real time visualizer has been summoned") + print("REAL_TIME_PLOTTER: i got this queue:", queue) + plt.ion() + fig = plt.figure() + canvas = fig.canvas + queue.put("success") + logs_deque = {} + logs_ndarrays = {} + AxisAndArtists = namedtuple("AxAndArtists", "ax artists") + axes_and_updating_artists = {} + if args.debug_prints: + print("REAL_TIME_PLOTTER: i am waiting for the first log_item to initialize myself") + log_item = queue.get() + if args.debug_prints: + print("REAL_TIME_PLOTTER: got log_item, i am initializing the desired plots") + ROLLING_BUFFER_SIZE = 100 + t = np.arange(ROLLING_BUFFER_SIZE) + + n_cols, n_rows = getNRowsMColumnsFromTotalNumber(len(log_item)) + # this is what subplot wants + subplot_col_row = str(n_cols) + str(n_rows) + # preload some zeros and initialize plots + for i, data_key in enumerate(log_item): + # you give single-vector numpy arrays, i instantiate and plot lists of these + # so for your (6,) vector, i plot (N, 6) ndarrays resulting in 6 lines of length N. + # i manage N because plot data =/= all data for efficiency reasons. + assert type(log_item[data_key]) == np.ndarray + assert len(log_item[data_key].shape) == 1 + # prepopulate with zeros via list comperhension (1 item is the array, the queue is + # ROLLING_BUFFER_SIZE of such arrays, and these go in and out at every time step) + logs_deque[data_key] = deque([log_item[data_key] for index in range(ROLLING_BUFFER_SIZE)]) + # i can only plot np_arrays, so these queues will have to be turned to nparray at every timestep + # thankfull, deque is an iterable + logs_ndarrays[data_key] = np.array(logs_deque[data_key]) + colors = plt.cm.jet(np.linspace(0, 1, log_item[data_key].shape[0])) + ax = fig.add_subplot(int(subplot_col_row + str(i + 1))) + # some hacks, i'll have to standardize things somehow + if data_key == 'qs': + ax.set_ylim(bottom=-6.14, top=6.14) + if data_key == 'dmp_poss': + ax.set_ylim(bottom=-6.14, top=6.14) + if data_key == 'dqs': + ax.set_ylim(bottom=-1.7, top=1.7) + if data_key == 'dmp_vels': + ax.set_ylim(bottom=-1.7, top=1.7) + if data_key == 'wrench': + ax.set_ylim(bottom=-20.0, top=20.0) + if data_key == 'tau': + ax.set_ylim(bottom=-2.0, top=2.0) + axes_and_updating_artists[data_key] = AxisAndArtists(ax, {}) + for j in range(log_item[data_key].shape[0]): + # the comma is because plot retuns ax, sth_unimportant. + # and python let's us assign iterable return values like this + axes_and_updating_artists[data_key].artists[str(data_key) + str(j)], = \ + axes_and_updating_artists[data_key].ax.plot(t, logs_ndarrays[data_key][:,j], + color=colors[j], label=data_key + "_" + str(j)) + axes_and_updating_artists[data_key].ax.legend() + + # need to call it once + canvas.draw() + canvas.flush_events() + #plt.show(block=False) + n_of_calls = 0 + # can't get background, idk how to get it to work + #background = ? + background = fig.bbox + while True: + log_item = queue.get() + if log_item == "befree": + if args.debug_prints: + print("REAL_TIME_PLOTTER: got befree, visualizer out") + break + n_of_calls += 1 + for data_key in log_item: + # remove oldest + logs_deque[data_key].popleft() + # put in new one + logs_deque[data_key].append(log_item[data_key]) + # make it an ndarray (plottable) + logs_ndarrays[data_key] = np.array(logs_deque[data_key]) + # now shape == (ROLLING_BUFFER_SIZE, vector_dimension) + for j in range(logs_ndarrays[data_key].shape[1]): + axes_and_updating_artists[data_key].artists[str(data_key) + str(j)].set_data(t, logs_ndarrays[data_key][:,j]) + axes_and_updating_artists[data_key].ax.draw_artist(\ + axes_and_updating_artists[data_key].artists[str(data_key) + str(j)]) + canvas.blit(fig.bbox) + canvas.flush_events() + plt.close(fig) +