diff --git a/poetry.lock b/poetry.lock
index d294491..c09afef 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1012,6 +1012,27 @@ qtconsole = ["qtconsole"]
 test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
 test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
 
+[[package]]
+name = "ipywidgets"
+version = "8.1.5"
+description = "Jupyter interactive widgets"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "ipywidgets-8.1.5-py3-none-any.whl", hash = "sha256:3290f526f87ae6e77655555baba4f36681c555b8bdbbff430b70e52c34c86245"},
+    {file = "ipywidgets-8.1.5.tar.gz", hash = "sha256:870e43b1a35656a80c18c9503bbf2d16802db1cb487eec6fab27d683381dde17"},
+]
+
+[package.dependencies]
+comm = ">=0.1.3"
+ipython = ">=6.1.0"
+jupyterlab-widgets = ">=3.0.12,<3.1.0"
+traitlets = ">=4.3.1"
+widgetsnbextension = ">=4.0.12,<4.1.0"
+
+[package.extras]
+test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
+
 [[package]]
 name = "isoduration"
 version = "20.11.0"
@@ -1362,6 +1383,17 @@ docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pyd
 openapi = ["openapi-core (>=0.18.0,<0.19.0)", "ruamel-yaml"]
 test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-validator (>=0.6.0,<0.8.0)", "pytest (>=7.0,<8)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "ruamel-yaml", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"]
 
+[[package]]
+name = "jupyterlab-widgets"
+version = "3.0.13"
+description = "Jupyter interactive widgets for JupyterLab"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jupyterlab_widgets-3.0.13-py3-none-any.whl", hash = "sha256:e3cda2c233ce144192f1e29914ad522b2f4c40e77214b0cc97377ca3d323db54"},
+    {file = "jupyterlab_widgets-3.0.13.tar.gz", hash = "sha256:a2966d385328c1942b683a8cd96b89b8dd82c8b8f81dda902bb2bc06d46f5bed"},
+]
+
 [[package]]
 name = "kiwisolver"
 version = "1.4.8"
@@ -3932,7 +3964,18 @@ MarkupSafe = ">=2.1.1"
 [package.extras]
 watchdog = ["watchdog (>=2.3)"]
 
+[[package]]
+name = "widgetsnbextension"
+version = "4.0.13"
+description = "Jupyter interactive widgets for Jupyter Notebook"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "widgetsnbextension-4.0.13-py3-none-any.whl", hash = "sha256:74b2692e8500525cc38c2b877236ba51d34541e6385eeed5aec15a70f88a6c71"},
+    {file = "widgetsnbextension-4.0.13.tar.gz", hash = "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"},
+]
+
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10,<3.12,"
-content-hash = "1327d61e8a4f6d1eee7a6bfd234edb71c7165b6c30903d49522afa52252ddcc2"
+content-hash = "d491761d6cdd8952d860e353849f927d0bd951076a976ac0d5636bcecacf14d9"
diff --git a/pyproject.toml b/pyproject.toml
index a6add17..c7a4822 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -47,6 +47,7 @@ shapely = "^1"
 baumer-neoapi = {path = "../../Downloads/Baumer_neoAPI_1.4.1_lin_x86_64_python/wheel/baumer_neoapi-1.4.1-cp34.cp35.cp36.cp37.cp38.cp39.cp310.cp311.cp312-none-linux_x86_64.whl"}
 qrcode = "^8.0"
 pyusb = "^1.3.1"
+ipywidgets = "^8.1.5"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/trap/frame_emitter.py b/trap/frame_emitter.py
index f214b53..dc935c1 100644
--- a/trap/frame_emitter.py
+++ b/trap/frame_emitter.py
@@ -89,7 +89,7 @@ class FrameEmitter:
     def emit_video(self, timer_counter):
         i = 0
 
-        source = get_video_source(self.video_srcs, self.config.camera)
+        source = get_video_source(self.video_srcs, self.config.camera, int(self.config.video_offset))
         for i, img in enumerate(source):
 
             with timer_counter.get_lock():
diff --git a/trap/helios.py b/trap/helios.py
index 3f6e8b1..4383440 100644
--- a/trap/helios.py
+++ b/trap/helios.py
@@ -582,7 +582,7 @@ class HeliosDAC():
 if __name__ == "__main__":
 	a = HeliosDAC()
 
-	a.runQueueThread()
+	# a.runQueueThread()
 
 #	cal = a.generateText("hello World", 20,20,scale=10)
 ##	print(cal)
@@ -592,16 +592,28 @@ if __name__ == "__main__":
 #		a.newFrame(2000,cal)
 #		a.DoFrame()
 
+	# cal = a.generateText("hello World", 0, 0,scale=10)
+	# pps = 20000
+	# while(1):
+	# 	a.newFrame(pps,cal)
+	# 	a.DoFrame()
 
-	cal = a.loadILDfile("astroid.ild")
-	while(1):
-		for (t,n1,n2,c),f in cal:
-			print("playing %s,%s, %d" % (n1,n2,c))
-			a.newFrame(5000,f)
+
+	# cal = a.loadILDfile("ildatest.ild")
+	# while(1):
+	# 	for (t,n1,n2,c),f in cal:
+	# 		print("playing %s,%s, %d" % (n1,n2,c))
+	# 		a.newFrame(5000,f)
 #			a.DoFrame()
 
 #			a.plot(f)
-
+	pps = 200
+	while(1):
+		a.newFrame(pps,[HeliosPoint(0,200, c=(255,255,255)), #draw a square
+				HeliosPoint(200,200, c=(255,255,255)),
+				HeliosPoint(200,0, c=(255,255,255)),
+				HeliosPoint(0,0, c=(255,255,255))])
+		a.DoFrame()
 
 #	while(1):
 ##		a.newFrame(1000,[HeliosPoint(16000,16000)])
diff --git a/trap/helios_dac/calibration_points.py b/trap/helios_dac/calibration_points.py
new file mode 100644
index 0000000..6bf6aab
--- /dev/null
+++ b/trap/helios_dac/calibration_points.py
@@ -0,0 +1,253 @@
+# -*- coding: utf-8 -*-
+"""
+Example for using Helios DAC libraries in python (using C library with ctypes)
+
+NB: If you haven't set up udev rules you need to use sudo to run the program for it to detect the DAC.
+"""
+from __future__ import annotations
+
+import ctypes
+import json
+import math
+from typing import Optional
+
+import cv2
+import numpy as np
+
+def lerp(a: float, b: float, t: float) -> float:
+    """Linear interpolate on the scale given by a to b, using t as the point on that scale.
+    Examples
+    --------
+        50 == lerp(0, 100, 0.5)
+        4.2 == lerp(1, 5, 0.8)
+    """
+    return (1 - t) * a + t * b
+
+
+class LaserFrame():
+    def __init__(self, paths: list[LaserPath]):
+        self.paths = paths
+
+    # def closest_path(cls, point, paths):
+    #     distances = [min(p.last()-)]
+    
+    # def optimise_paths_lazy(self, last_point = None):
+    #     """Quick way to optimise order of paths
+    #     last_point can be the ending point of previous frame.
+    #     """
+    #     ordered_paths = []
+    #     if not last_point:
+    #         ordered_paths.append(self.paths.pop(0))
+        
+    #     last_point = endpoint
+    #     pass
+
+    def get_points_interpolated_by_distance(self, point_interval, last_point: Optional[LaserPoint] = None) -> list[LaserPoint]:
+        """
+        Interpolate the gaps between paths (NOT THE PATHS THEMSELVES)
+        point_interval is the maximum interval at which a new point should be added
+        """
+        points: list[LaserPoint] = []
+        for path in self.paths:
+            if last_point:
+                a = last_point
+                b = path.first()
+                dx = b.x - a.x
+                dy = b.y - a.y
+                distance = np.linalg.norm([dx,dy])
+                steps = int(distance // point_interval)
+                for step in range(steps+1): # have both 0 and 1 in the lerp for empty points
+                    t = step/(steps+1)
+                    x = int(lerp(a.x, b.x, t))
+                    y = int(lerp(a.y, b.y, t))
+                    points.append(LaserPoint(x,y, (0,0,0), 0, True))
+                # print('append', steps)
+            
+            points.extend(path.points)
+
+            last_point = path.last()
+
+        return points
+
+
+
+
+class LaserPath():
+    def __init__(self, points: list[LaserPoint] = []):
+        # if len(points) < 1:
+        #     raise RuntimeError("LaserPath should have some points")
+        
+        self.points = points
+
+    def last(self):
+        return self.points[-1]
+    
+    def first(self):
+        return self.points[0]
+    
+class LaserPoint():
+    def __init__(self,x,y,c: Color = (255,0,0),i= 255,blank=False):
+        self.x = x
+        self.y = y
+        self.c = c
+        self._i = i
+        self.blank = blank
+
+    @property
+    def color(self):
+        if self.blank: return (0,0,0)
+        return self.c
+
+    @property
+    def i(self):
+        return 0 if self.blank else self._i
+
+def circle_points(cx, cy, r, c: Color):
+    # r = 100
+    steps = r
+    pointlist: list[LaserPoint] = []
+    for i in range(steps):
+        x = int(cx + math.cos(i * (2*math.pi)/steps) * r)
+        y = int(cy + math.sin(i * (2*math.pi)/steps)* r)
+        pointlist.append(LaserPoint(x, y, c, blank=(i==(steps-1)or i==0)))
+
+    return pointlist
+
+def cross_points(cx, cy, r, c: Color):
+    # r = 100
+    steps = r
+    pointlist: list[LaserPoint] = []
+    for i in range(steps):
+        x = int(cx)
+        y = int(cy + r - i * 2 * r/steps)
+        pointlist.append(LaserPoint(x, y, c, blank=(i==(steps-1)or i==0)))
+    path = LaserPath(pointlist)
+    pointlist: list[LaserPoint] = []
+    for i in range(steps):
+        y = int(cy)
+        x = int(cx + r - i * 2 * r/steps)
+        pointlist.append(LaserPoint(x, y, c, blank=(i==(steps-1)or i==0)))
+    path2 = LaserPath(pointlist)
+
+    return [path, path2]
+
+Color = tuple[int, int, int]
+
+#Define point structure
+class HeliosPoint(ctypes.Structure):
+    #_pack_=1
+    _fields_ = [('x', ctypes.c_uint16),
+                ('y', ctypes.c_uint16),
+                ('r', ctypes.c_uint8),
+                ('g', ctypes.c_uint8),
+                ('b', ctypes.c_uint8),
+                ('i', ctypes.c_uint8)]
+
+#Load and initialize library
+HeliosLib = ctypes.cdll.LoadLibrary("./libHeliosDacAPI.so")
+numDevices = HeliosLib.OpenDevices()
+print("Found ", numDevices, "Helios DACs")
+
+# #Create sample frames
+# frames = [0 for x in range(100)]
+# frameType = HeliosPoint * 1000
+# x = 0
+# y = 0
+# for i in range(100):
+#     y = round(i * 0xFFF / 100)
+#     # y = round(50*0xFFF/100)
+#     frames[i] = frameType()
+#     for j in range(1000):
+#         if (j < 500):
+#             x = round(j * 0xFFF / 500)
+#             offset = 0
+#         else:
+#             offset = 0
+#             x = round(0xFFF - ((j - 500) * 0xFFF / 500))
+
+#         # frames[i][j] = HeliosPoint(int(x),int(y+offset),0,(x%155),0,255)
+#         frames[i][j] = HeliosPoint(int(x),int(y+offset),0,100,0,255)
+
+pct =0xfff/100
+r=50
+
+# TODO)) scriptje met sliders
+
+paths = [
+    # LaserPath(circle_points(10*pct, 45*pct, r, (100,0,100))),
+    # *cross_points(10*pct, 45*pct, r, (100,0,100)), # magenta
+    *cross_points(13.7*pct, 38.9*pct, r, (100,0,100)), # magenta # punt 10
+    *cross_points(44.3*pct, 47.0*pct, r, (0,100,0)), # groen # punt 0
+    *cross_points(82.5*pct, 12.7*pct, r, (100,100,100)), # wit # punt 4
+    *cross_points(89*pct, 49*pct, r, (0,100,100)), # cyan # punt 2
+    *cross_points(36*pct, 81.7*pct, r, (100,100,0)), # geel # punt 7
+]
+
+calibration_points = [
+(13.7*pct, 38.9*pct, 10,),
+(44.3*pct, 47.0*pct, 0),
+(82.5*pct, 12.7*pct, 4),
+(89*pct, 49*pct, 2),
+(36*pct, 81.7*pct, 7),
+]
+
+with open('/home/ruben/suspicion/DATASETS/hof3/irl_points.json') as fp:
+    irl_points = json.load(fp)
+
+src_points = []
+dst_points=[]
+for x, y, index in calibration_points:
+    src_points.append(irl_points[index])
+    dst_points.append([x,y])
+
+print(src_points)
+H, status = cv2.findHomography(np.array(src_points), np.array(dst_points))
+print("LASER HOMOGRAPHY MATRIX")
+print(H)
+dst_img_points = cv2.perspectiveTransform(np.array([[irl_points[1]]]), H)
+print(dst_img_points)
+
+
+paths.extend([
+    *cross_points(dst_img_points[0][0][0], dst_img_points[0][0][1], r, (100,100,0)), # geel # punt 7
+])
+
+
+frame = LaserFrame(paths)
+
+pointlist = frame.get_points_interpolated_by_distance(3)
+
+
+print(len(pointlist))
+#Play frames on DAC
+i=0
+while True:
+
+
+    frameType = HeliosPoint * len(pointlist)
+    frame = frameType()
+
+    # print(len(pointlist), last_laser_point.x, last_laser_point.y)
+
+    for j, point in enumerate(pointlist):
+        frame[j] = HeliosPoint(point.x, point.y, point.color[0],point.color[1], point.color[2], point.i)
+    
+        # Make 512 attempts for DAC status to be ready. After that, just give up and try to write the frame anyway
+    statusAttempts=0
+    
+    while (statusAttempts < 512 and HeliosLib.GetStatus(0) != 1):
+        statusAttempts += 1
+    
+    HeliosLib.WriteFrame(0, 50000, 0, ctypes.pointer(frame), len(pointlist))
+    
+# for i in range(250):
+    # i+=1
+    # for j in range(numDevices):
+    #     statusAttempts = 0
+    #     # Make 512 attempts for DAC status to be ready. After that, just give up and try to write the frame anyway
+    #     while (statusAttempts < 512 and HeliosLib.GetStatus(j) != 1):
+    #         statusAttempts += 1
+    #     HeliosLib.WriteFrame(j, 50000, 0, ctypes.pointer(frames[i % 100]), 1000) #Send the frame
+
+
+HeliosLib.CloseDevices()
diff --git a/trap/laser_renderer.py b/trap/laser_renderer.py
index 1461239..aae43a6 100644
--- a/trap/laser_renderer.py
+++ b/trap/laser_renderer.py
@@ -25,15 +25,107 @@ from pyglet import shapes
 from PIL import Image
 
 from trap.frame_emitter import DetectionState, Frame, Track, Camera
-from trap.helios import HeliosDAC, HeliosPoint
+# from trap.helios import HeliosDAC, HeliosPoint
 from trap.preview_renderer import FrameWriter
 from trap.tools import draw_track, draw_track_predictions, draw_track_projected, draw_trackjectron_history, to_point, track_predictions_to_lines
-from trap.utils import convert_world_points_to_img_points, convert_world_space_to_img_space
+from trap.utils import convert_world_points_to_img_points, convert_world_space_to_img_space, lerp
 
 
 
 logger = logging.getLogger("trap.laser_renderer")
 
+import ctypes
+
+class LaserFrame():
+    def __init__(self, paths: list[LaserPath]):
+        self.paths = paths
+
+    # def closest_path(cls, point, paths):
+    #     distances = [min(p.last()-)]
+    
+    # def optimise_paths_lazy(self, last_point = None):
+    #     """Quick way to optimise order of paths
+    #     last_point can be the ending point of previous frame.
+    #     """
+    #     ordered_paths = []
+    #     if not last_point:
+    #         ordered_paths.append(self.paths.pop(0))
+        
+    #     last_point = endpoint
+    #     pass
+
+    def get_points_interpolated_by_distance(self, point_interval, last_point: Optional[LaserPoint] = None) -> list[LaserPoint]:
+        """
+        Interpolate the gaps between paths (NOT THE PATHS THEMSELVES)
+        point_interval is the maximum interval at which a new point should be added
+        """
+        points: list[LaserPoint] = []
+        for path in self.paths:
+            if last_point:
+                a = last_point
+                b = path.first()
+                dx = b.x - a.x
+                dy = b.y - a.y
+                distance = np.linalg.norm([dx,dy])
+                steps = int(distance // point_interval)
+                for step in range(steps+1): # have both 0 and 1 in the lerp for empty points
+                    t = step/(steps+1)
+                    x = int(lerp(a.x, b.x, t))
+                    y = int(lerp(a.y, b.y, t))
+                    points.append(LaserPoint(x,y, (0,0,0), 0, True))
+                # print('append', steps)
+            
+            points.extend(path.points)
+
+            last_point = path.last()
+
+        return points
+
+
+
+
+class LaserPath():
+    def __init__(self, points: list[LaserPoint] = []):
+        # if len(points) < 1:
+        #     raise RuntimeError("LaserPath should have some points")
+        
+        self.points = points
+
+    def last(self):
+        return self.points[-1]
+    
+    def first(self):
+        return self.points[0]
+    
+class LaserPoint():
+    def __init__(self,x,y,c: Color = (255,0,0),i= 255,blank=False):
+        self.x = x
+        self.y = y
+        self.c = c
+        self._i = i
+        self.blank = blank
+
+    @property
+    def color(self):
+        if self.blank: return (0,0,0)
+        return self.c
+
+    @property
+    def i(self):
+        return 0 if self.blank else self._i
+	
+
+#Define point structure
+class CHeliosPoint(ctypes.Structure):
+    #_pack_=1
+    _fields_ = [('x', ctypes.c_uint16),
+                ('y', ctypes.c_uint16),
+                ('r', ctypes.c_uint8),
+                ('g', ctypes.c_uint8),
+                ('b', ctypes.c_uint8),
+                ('i', ctypes.c_uint8)]
+
+
 class LaserRenderer:
     def __init__(self, config: Namespace, is_running: BaseEvent):
         self.config = config
@@ -68,13 +160,17 @@ class LaserRenderer:
         self.tracks: Dict[str, Track] = {}
         self.predictions: Dict[str, Track] = {}
 
+        self.helios = ctypes.cdll.LoadLibrary("./trap/helios_dac/libHeliosDacAPI.so")
+        numDevices = self.helios.OpenDevices()
+        logger.info(f"Found {numDevices} Helios DACs")
         
-        self.dac = HeliosDAC(debug=False)
-        logger.info(f"{self.dac.dev}")
-        logger.info(f"{self.dac.GetName()}")
-        logger.info(f"{self.dac.getHWVersion()}")
+        
+        # self.dac = HeliosDAC(debug=False)
+        # logger.info(f"{self.dac.dev}")
+        # logger.info(f"{self.dac.GetName()}")
+        # logger.info(f"{self.dac.getHWVersion()}")
 
-        logger.info(f"Helios version: {self.dac.getHWVersion()}")
+        # logger.info(f"Helios version: {self.dac.getHWVersion()}")
 
 	
         # self.init_shapes()
@@ -117,7 +213,48 @@ class LaserRenderer:
         i=0
         first_time = None
 
+        kpps = 50000
+
+        # frames = [0 for x in range(30)]
+        # frameTr= CHeliosPoint(int(x),int(y),20,20,20,255)
+        # print(frames)
+
+        pointlist_test = []
+        # pointlist_test.append(HeliosPoint(10,10, blank=False))
+        for i in range(30):
+            if i < 15:
+                # y = int(i*0xfff/500)
+                y = int(i*10 + 0xfff/2) 
+            else:
+                # y = int((15-i)*0xfff/500)
+                y = int((15-i)*10 + 0xfff/2)
+            pointlist_test.append(LaserPoint(int(0),0xfff-y, blank=False))
+        # pointlist_test.append(HeliosPoint(10,0xfff, blank=False))
+        # pointlist_test.append(HeliosPoint(8000,8000, blank=False))
+        # pointlist_test.append(HeliosPoint(8000,10, blank=False))
+        # pointlist_test.append(HeliosPoint(10,10, blank=True))
+
+        # frameType = CHeliosPoint * len(pointlist_test)
+        # frame = frameType()
+
+        # for j, point in enumerate(pointlist_test):
+        #     frame[j] = CHeliosPoint(point.x, point.y, 0,40,0,0 if point.blank else 255)
+
+        
+
+
+        print(f"RENDER DAC\n\n\n")
+
+        last_laser_point = None
+        # for i in range(150):
         while self.is_running.is_set():
+            # Make 512 attempts for DAC status to be ready. After that, just give up and try to write the frame anyway
+            # statusAttempts=0
+            # while (statusAttempts < 512 and self.helios.GetStatus(0) != 1):
+            #     statusAttempts += 1
+            # self.helios.WriteFrame(0, kpps, 0, ctypes.pointer(frame), len(pointlist))
+            # continue
+
             i+=1
             with timer_counter.get_lock():
                 timer_counter.value+=1
@@ -138,17 +275,47 @@ class LaserRenderer:
             except zmq.ZMQError as e:
                 logger.debug(f'reuse tracks')
 
-            if tracker_frame is None:
-                # might need to wait a few iterations before first frame comes available
-                time.sleep(.1)
-                continue
+            # if tracker_frame is None:
+            #     # might need to wait a few iterations before first frame comes available
+            #     time.sleep(.1)
+            #     continue
 
-            if first_time is None:
+            if first_time is None and tracker_frame is not None:
                     first_time = tracker_frame.time
 
-            pointlist = render_frame_to_dac(self.dac, tracker_frame, prediction_frame, first_time, self.config, self.tracks, self.predictions, self.config.render_clusters)
+            
+            paths = render_frame_to_pointlist( tracker_frame, prediction_frame, first_time, self.config, self.tracks, self.predictions, self.config.render_clusters)
+            laserframe = LaserFrame(paths)
+            # pointlist=pointlist_test
+            # print([(p.x, p.y) for p in pointlist])
+            # pointlist.extend(pointlist_test)
 
-            self.dac.newFrame(50000, pointlist)
+            pointlist = laserframe.get_points_interpolated_by_distance(2, last_laser_point)
+            # print(len(pointlist))
+
+            if len(pointlist):
+                last_laser_point = pointlist[-1] 
+
+            frameType = CHeliosPoint * len(pointlist)
+            frame = frameType()
+
+            # print(len(pointlist), last_laser_point.x, last_laser_point.y)
+
+            for j, point in enumerate(pointlist):
+                frame[j] = CHeliosPoint(int(point.x), int(point.y), point.color[0],point.color[1], point.color[2], point.i)
+            
+             # Make 512 attempts for DAC status to be ready. After that, just give up and try to write the frame anyway
+            statusAttempts=0
+            
+            while (statusAttempts < 512 and self.helios.GetStatus(0) != 1):
+                statusAttempts += 1
+            
+            self.helios.WriteFrame(0, kpps, 0, ctypes.pointer(frame), len(pointlist))
+            
+            # continue
+            # self.helios.WriteFrame(0, kpps, 0, ctypes.pointer(frame), len(pointlist))
+
+            # self.dac.newFrame(50000, pointlist)
 
             
             # clear out old tracks & predictions:
@@ -162,6 +329,7 @@ class LaserRenderer:
                     self.predictions.pop(prediction_id)
 
         logger.info('Stopping')
+        self.helios.CloseDevices()
 
         # if i>2:
         
@@ -186,22 +354,45 @@ colorset = [
 #     (0,0,0),
 #  ]
 
-def get_animation_position(track: Track, current_frame: Frame):
-    fade_duration = current_frame.camera.fps * 3
+def get_animation_position(track: Track, current_frame: Frame) -> float:
+    fade_duration = current_frame.camera.fps * 2
     diff = current_frame.index - track.history[-1].frame_nr
     return max(0, min(1, diff / fade_duration))
     # track.history[-1].frame_nr < (current_frame.index - current_frame.camera.fps * 3)
     # track.history[-1].frame_nr < (current_frame.index - current_frame.camera.fps * 3)
 
+def circle_points(cx, cy, r, c: Color):
+    r = 100
+    steps = 100
+    pointlist: list[LaserPoint] = []
+    for i in range(steps):
+        x = int(cx + math.cos(i * (2*math.pi)/steps) * r)
+        y = int(cy + math.sin(i * (2*math.pi)/steps)* r)
+        pointlist.append(LaserPoint(x, y, c, blank=(i==(steps-1)or i==0)))
+
+    return pointlist
+    
+Color = tuple[int, int, int]
+
+# derived with trap/helios_dac/calibration_points.py
+# set points in the script to points from hof3/irl_points.json
+laser_H =np.array([[ 2.47442963e+02, -7.01714050e+01, -9.71749119e+01],
+ [ 1.02328119e+01,  1.47185254e+02,  1.96295638e+02],
+ [-1.20921986e-03, -3.32735973e-02,  1.00000000e+00]])
+
+def world_points_to_laser_points(points):
+    return cv2.perspectiveTransform(np.array([points]), laser_H)
 
 # Deprecated
-def render_frame_to_dac(dac: HeliosDAC, tracker_frame: Frame, prediction_frame: Frame, first_time: float, config: Namespace, tracks: Dict[str, Track], predictions: Dict[str, Track], as_clusters = True) -> np.array:
+def render_frame_to_pointlist(tracker_frame: Optional[Frame], prediction_frame: Optional[Frame], first_time: Optional[float], config: Namespace, tracks: Dict[str, Track], predictions: Dict[str, Track], as_clusters = True):
     # TODO: replace opencv with QPainter to support alpha? https://doc.qt.io/qtforpython-5/PySide2/QtGui/QPainter.html#PySide2.QtGui.PySide2.QtGui.QPainter.drawImage
     # or https://github.com/pygobject/pycairo?tab=readme-ov-file
     # or https://pyglet.readthedocs.io/en/latest/programming_guide/shapes.html
     # and use http://code.astraw.com/projects/motmot/pygarrayimage.html or https://gist.github.com/nkymut/1cb40ea6ae4de0cf9ded7332f1ca0d55
     # or https://api.arcade.academy/en/stable/index.html (supports gradient color in line -- "Arcade is built on top of Pyglet and OpenGL.")
-    pointlist = []
+    # pointlist: list[LaserPoint] = []
+    # frame = LaserFrame()
+    paths: list[LaserPath] = []
 
     # pointlist.append(HeliosPoint(x,y, dac.palette[cindex],blank=blank))
     
@@ -215,69 +406,99 @@ def render_frame_to_dac(dac: HeliosDAC, tracker_frame: Frame, prediction_frame:
     #     cv2.imwrite(str(self.config.output_dir / "orig.png"), warpedFrame)
     # cv2.rectangle(img, (0,0), (img.shape[1],25), (0,0,0), -1)
 
-    c = dac.palette[4] # Green
-    pointlist.append(HeliosPoint(10,10, c,blank=False))
-    pointlist.append(HeliosPoint(10,100, c,blank=False))
-    pointlist.append(HeliosPoint(100,100, c,blank=False))
-    pointlist.append(HeliosPoint(100,10, c,blank=False))
-    pointlist.append(HeliosPoint(10,10, c,blank=True))
+    intensity = 100 # range 0-255
+    test_r = 100
+    base_c = (0,0, intensity)
+    track_c = (intensity,0,0)
+    pred_c = (0,intensity,0)
 
+    if not tracker_frame and not prediction_frame:
+        paths.append(
+            LaserPath(circle_points(0xFFF/2, 0xFFF/2, test_r, base_c))
+            )
+    # c = (0,intensity,0)#, dac.palette[4] # Green
+    # r = 100
+    # steps = 100
+    # for i in range(steps):
+    #     x = int(0xFFF/2 + math.cos(i * (2*math.pi)/steps) * r)
+    #     y = int(0xFFF/2 + math.sin(i * (2*math.pi)/steps)* r)
+    #     pointlist.append(HeliosPoint(x, y, c, blank=i==99))
+    
+    # pointlist.append(HeliosPoint(10,10, c,blank=False))
+    # pointlist.append(HeliosPoint(10,100, c,blank=False))
+    # pointlist.append(HeliosPoint(10,200, c,blank=False))
+    # pointlist.append(HeliosPoint(100,200, c,blank=False))
+    # pointlist.append(HeliosPoint(200,200, c,blank=False))
+    # pointlist.append(HeliosPoint(200,100, c,blank=False))
+    # pointlist.append(HeliosPoint(200,10, c,blank=False))
+    # pointlist.append(HeliosPoint(100,10, c,blank=False))
+    # pointlist.append(HeliosPoint(10,10, c,blank=True))
+
+    # return pointlist
+
+    # print(not tracker_frame, not prediction_frame)
+    
     if not tracker_frame:
-        c = dac.palette[3] # yellow
-        pointlist.append(HeliosPoint(110,10, c,blank=False))
-        pointlist.append(HeliosPoint(110,100, c,blank=False))
-        pointlist.append(HeliosPoint(200,100, c,blank=False))
-        pointlist.append(HeliosPoint(200,10, c,blank=False))
-        pointlist.append(HeliosPoint(110,10, c,blank=True))
+        c = (intensity, intensity, 0) #dac.palette[3] # yellow
+        paths.append(
+            LaserPath(circle_points(0xFFF/2+2*test_r, 0xFFF/2, test_r, track_c))
+            )
     else:
         for track_id, track in tracks.items():
             inv_H = np.linalg.pinv(tracker_frame.H)
             history = track.get_projected_history(camera=config.camera)
-            history = convert_world_points_to_img_points(history)
+            history = world_points_to_laser_points(history)[0]
+            
             # point_color = bgr_colors[color_index % len(bgr_colors)]
             points = np.rint(history.reshape((-1,1,2))).astype(np.int32)
+            # print('point len',len(points))
+            laserpoints = []
             for i, point in enumerate(points):
-                blank = i+1 == len(points) # last point blank
-                pointlist.append(HeliosPoint(point[0][0], point[0][1], dac.palette[2], blank=blank))
-            
+                laserpoints.append(LaserPoint(point[0][0], point[0][1], track_c, blank=False))
+            path = LaserPath(laserpoints)
+            paths.append(path)
             # draw_track_projected(img, track, int(track_id), config.camera, convert_world_points_to_img_points)
     
     if not prediction_frame:
-        c = dac.palette[7] # magenta
-        pointlist.append(HeliosPoint(210,10, c,blank=False))
-        pointlist.append(HeliosPoint(210,100, c,blank=False))
-        pointlist.append(HeliosPoint(300,100, c,blank=False))
-        pointlist.append(HeliosPoint(300,10, c,blank=False))
-        pointlist.append(HeliosPoint(210,10, c,blank=True))
+        c = (intensity,0,intensity) # dac.palette[7] # magenta
+        paths.append(
+            LaserPath(circle_points(0xFFF/2+4*test_r, 0xFFF/2, test_r, pred_c))
+            )
         # cv2.putText(img, f"Waiting for prediction...", (500,17), cv2.FONT_HERSHEY_PLAIN, 1, (255,255,0), 1)
         # continue
+    # elif True:
+    #     pass
     else:
         for track_id, track in predictions.items():
             inv_H = np.linalg.pinv(prediction_frame.H)
             # For debugging:
             # draw_trackjectron_history(img, track, int(track.track_id), convert_world_points_to_img_points)
-            anim_position = get_animation_position(track, tracker_frame)
+            anim_position = 1 # TODO)) calculate without video frame: get_animation_position(track, tracker_frame)
             lines = track_predictions_to_lines(track, config.camera, anim_position)
             
             if not lines:
                 continue
             
-            lines = [convert_world_points_to_img_points(points) for points in lines]
             
-            # cv2 only draws to integer coordinates
-            lines = [np.rint(points).astype(int) for points in lines]
             
             # draw in a single pass
             # line_points = line_points.reshape((1, -1,1,2))
             for line in lines:
+                # print('prediction line')
+                line = world_points_to_laser_points(line)[0]
+                # line = convert_world_points_to_img_points(line)
+                line = np.rint(line).astype(int) 
+                laserpoints = []
                 for i, point in enumerate(line):
-                    blank = i+1 == len(points) # last point blank
-                    pointlist.append(HeliosPoint(point[0], point[1], dac.palette[4], blank=blank))
+                    laserpoints.append(LaserPoint(point[0], point[1], pred_c, blank=False))
+                path = LaserPath(laserpoints)
+                paths.append(path)
             # draw_track_predictions(img, track, int(track.track_id)+1, config.camera, convert_world_points_to_img_points, anim_position=anim_position, as_clusters=as_clusters)
             # cv2.putText(img, f"{len(track.predictor_history) if track.predictor_history else 'none'}", to_point(track.history[0].get_foot_coords()), cv2.FONT_HERSHEY_COMPLEX, 1, (255,255,255), 1)
         
 
-    return pointlist
+    # print(len(paths))
+    return paths
 
     
 def run_laser_renderer(config: Namespace, is_running: BaseEvent, timer_counter):
diff --git a/trap/video_sources.py b/trap/video_sources.py
index 380d981..1c10ca4 100644
--- a/trap/video_sources.py
+++ b/trap/video_sources.py
@@ -84,7 +84,7 @@ class RtspSource(SingleCvVideoSource):
         
 
 class FilelistSource(SingleCvVideoSource):
-    def __init__(self, video_sources: Iterable[UrlOrPath], camera: Camera = None, delay = True):
+    def __init__(self, video_sources: Iterable[UrlOrPath], camera: Camera = None, delay = True, offset = 0):
         # store current position
         self.video_sources = video_sources
         self.camera = camera
@@ -94,6 +94,7 @@ class FilelistSource(SingleCvVideoSource):
         self.frame_idx = None
         self.n = 0
         self.delay_generation = delay
+        self.offset = offset
 
     def recv(self):
         prev_time = time.time()
@@ -110,10 +111,10 @@ class FilelistSource(SingleCvVideoSource):
                 self.frame_count = math.inf
             self.frame_idx = 0
             # TODO)) Video offset
-            # if self.config.video_offset:
-            #     logger.info(f"Start at frame {self.config.video_offset}")
-            #     video.set(cv2.CAP_PROP_POS_FRAMES, self.config.video_offset)
-            #     self.frame_idx = self.config.video_offset
+            if self.offset:
+                logger.info(f"Start at frame {self.offset}")
+                video.set(cv2.CAP_PROP_POS_FRAMES, self.offset)
+                self.frame_idx = self.offset
             
             while True:
                 ret, img = video.read()
@@ -155,16 +156,22 @@ class CameraSource(SingleCvVideoSource):
         self.video.set(cv2.CAP_PROP_FPS, self.camera.fps)
         self.frame_idx = 0
  
-def get_video_source(video_sources: List[UrlOrPath], camera: Camera):
+def get_video_source(video_sources: List[UrlOrPath], camera: Camera, frame_offset=0):
     if str(video_sources[0]).isdigit():
         # numeric input is a CV camera
+        if frame_offset:
+            logger.info("video-offset ignored for camera source")
         return CameraSource(int(str(video_sources[0])), camera)
     elif video_sources[0].url.scheme == 'rtsp':
-        video_sources[0].url.hostname
+        # video_sources[0].url.hostname
+        if frame_offset:
+            logger.info("video-offset ignored for rtsp source")
         return RtspSource(video_sources[0])
     elif video_sources[0].url.scheme == 'gige':
+        if frame_offset:
+            logger.info("video-offset ignored for gige source")
         return GigE(video_sources[0].url.hostname)
     else:
-        return FilelistSource(video_sources)
+        return FilelistSource(video_sources, offset = frame_offset)
         # os.environ["OPENCV_FFMPEG_CAPTURE_OPTIONS"] = "fflags;nobuffer|flags;low_delay|avioflags;direct|rtsp_transport;udp"