Samples: Automatic updates to public repository

README.md

@@ -112,8 +112,6 @@ from the camera can be used.
           - [get\_checkerboard\_pose\_from\_zdf](https://github.com/zivid/zivid-python-samples/tree/master/source/applications/advanced/get_checkerboard_pose_from_zdf.py) - Read point cloud data of a Zivid calibration board from a
             ZDF file, estimate the
           - [hand\_eye\_calibration](https://github.com/zivid/zivid-python-samples/tree/master/source/applications/advanced/hand_eye_calibration/hand_eye_calibration.py) - Perform Hand-Eye calibration.
-          - [mask\_point\_cloud](https://github.com/zivid/zivid-python-samples/tree/master/source/applications/advanced/mask_point_cloud.py) - Read point cloud data from a ZDF file, apply a binary
-            mask, and visualize it.
           - [project\_and\_find\_marker](https://github.com/zivid/zivid-python-samples/tree/master/source/applications/advanced/project_and_find_marker.py) - Show a marker using the projector, capture a set of 2D
             images to find the marker coordinates (2D and 3D).
           - [read\_project\_and\_capture\_image](https://github.com/zivid/zivid-python-samples/tree/master/source/applications/advanced/read_project_and_capture_image.py) - Read a 2D image from file and project it using the camera
@@ -205,10 +203,10 @@ Note that Open3D is not available for Python 3.13 and later.
 -----
 
 1.  [Install Zivid
-    Software](https://support.zivid.com/latest//getting-started/software-installation.html).
+    Software](https://support.zivid.com/en/latest//camera/getting-started/software-installation.html).
 
 2.  [Download Zivid Sample
-    Data](https://support.zivid.com/latest//api-reference/samples/sample-data.html).
+    Data](https://support.zivid.com/en/latest//camera/api-reference/samples/sample-data.html).
 
 3.  Check out the Zivid Python samples repository:
 
@@ -252,9 +250,9 @@ Note that Open3D is not available for Python 3.13 and later.
 ## Support
 
 For more information about the Zivid cameras, please visit our
-[Knowledge Base](https://support.zivid.com/latest). If you run into any
-issues please check out
-[Troubleshooting](https://support.zivid.com/latest/support/troubleshooting.html).
+[Knowledge Base](https://support.zivid.com/en/latest). If you run into
+any issues please check out
+[Troubleshooting](https://support.zivid.com/en/latest/camera/support/troubleshooting.html).
 
 ## License
 

modules/zividsamples/gui/preparation/warmup_gui.py

@@ -292,16 +292,24 @@ def rate_of_change_data(self) -> NDArray[Shape["N"], Float32]:  # type: ignore
         return self.df["average_rate_of_change"].to_numpy()
 
     def temperature_is_stable(self) -> bool:
+        if not self.has_enough_data_to_analyze():
+            return False
+
+        # Ensure minimum warmup time of 1 minute has passed
         now = self.df["timestamp"].iloc[-1]
+        warmup_start_time = self.df["timestamp"].iloc[0]
+        elapsed_time = now - warmup_start_time
+        if elapsed_time < timedelta(minutes=1):
+            return False
+
         one_minute_ago = now - timedelta(minutes=1)
         last_minute_of_data = self.df[self.df["timestamp"] >= one_minute_ago]
-        max_rate_of_change_in_the_last_minute = last_minute_of_data["average_rate_of_change"].max()
-        if self.has_enough_data_to_analyze():
-            return (
-                self.df["average_rate_of_change"].iloc[-1] is not None
-                and max_rate_of_change_in_the_last_minute <= self.temperature_change_threshold_degrees_per_minute
-            )
-        return False
+        max_rate_of_change_in_the_last_minute = float(last_minute_of_data["average_rate_of_change"].max())
+
+        return (
+            self.df["average_rate_of_change"].iloc[-1] is not None
+            and max_rate_of_change_in_the_last_minute <= self.temperature_change_threshold_degrees_per_minute
+        )
 
     def temperature_is_changing_fast(self) -> bool:
         return self.df["average_rate_of_change"].iloc[-1] > 2 * self.temperature_change_threshold_degrees_per_minute

modules/zividsamples/gui/widgets/live_2d_widget.py

@@ -61,7 +61,7 @@ def update_exposure_based_on_relative_brightness(self, settings_2d: zivid.Settin
         rgba_with_projector = self.capture_function(settings_2d).image_srgb().copy_data()
         grayscale_with_projector = self.rgb_to_grayscale(rgba_with_projector)
         for acquisition in settings_2d.acquisitions:
-            acquisition.brightness = 0.0
+            acquisition.brightness = 0.1
         rgba_without_projector = self.capture_function(settings_2d).image_srgb().copy_data()
         grayscale_without_projector = self.rgb_to_grayscale(rgba_without_projector)
         grayscale_without_projector[grayscale_without_projector == 0] = np.nan
@@ -82,7 +82,7 @@ def update_exposure_based_on_relative_brightness(self, settings_2d: zivid.Settin
                 else relative_brightness / (exposure_increase / current_exposure_time)
             )
             acquisition.gain = max(1.0, min(acquisition.gain * remaining_relative_brightness, 16.0))
-            acquisition.brightness = 0.0
+            acquisition.brightness = 0.1
         return settings_2d
 
     def update_settings_2d(self, settings_2d: zivid.Settings2D, camera_model: str):

source/applications/advanced/stitch_using_robot_mounted_camera.py

@@ -56,6 +56,7 @@ def _options() -> argparse.Namespace:
     parser.add_argument(
         "--full-resolution",
         action="store_true",
+        default=False,
         help="Use full resolution for stitching. If not set, downsampling is applied.",
     )
 
@@ -77,8 +78,8 @@ def _stitch_point_clouds(directory: Path, full_resolution: bool) -> zivid.Unorga
         ValueError: If the number of ZDF files and robot pose files do not match.
 
     """
-    zdf_files = list(directory.rglob("capture_*.zdf"))
-    pose_files = list(directory.rglob("robot_pose_*.yaml"))
+    zdf_files = sorted(list(directory.rglob("capture_*.zdf")))
+    pose_files = sorted(list(directory.rglob("robot_pose_*.yaml")))
 
     if not zdf_files or not pose_files or not (directory / "hand_eye_transform.yaml").exists():
         raise FileNotFoundError("Required files are missing in the directory.")