feat: update examples

Author: seankmartin

examples/all_data_types.py

@@ -58,7 +58,7 @@ def add_image_layer(state, dtype, **kwargs):
 
 def get_shader():
     return """
-#uicontrol transferFunction colormap(window=[0,120])
+#uicontrol transferFunction colormap
 void main() {
     emitRGBA(colormap());
     }

examples/max_projection.py

@@ -60,4 +60,5 @@ def launch_nglancer():
     print("shot 1 taken")
 
     with open("p1.png", "wb") as f:
+        print(s1.screenshot.resolution_metadata)
         f.write(s1.screenshot.image)

examples/minimal_screenshot.py

@@ -62,6 +62,7 @@ def main():
     with viewer.txn() as s:
         s.layers["image"].volume_rendering_gain = 10.0
     s2 = viewer.screenshot(size=[1000, 1000])
+    print(s2.screenshot.resolutionMetadata.panelResolutionData[0].type)
     print(viewer.state.layers["image"].volumeRenderingGain)
     print("shot 2 taken")
 

examples/serve_default_dir.py

@@ -1,11 +1,15 @@
 from neuroglancer_utils.create_datasets.create_full_cube import create_cube
+from neuroglancer_utils.create_datasets.create_full_cube_16 import (
+    create_cube as create_cube_16,
+)
 from neuroglancer_utils.create_datasets.create_sphere import create_sphere
 from neuroglancer_utils.create_datasets.create_allen_multi import create_allen_multi
 from neuroglancer_utils.create_datasets.create_cdf_example import create_cdf_example
 from neuroglancer_utils.create_datasets.create_border_data import create_border_example
 from neuroglancer_utils.local_server import create_server
 
 create_cube()
+create_cube_16()
 create_sphere()
 create_allen_multi()
 create_cdf_example()

neuroglancer_utils/create_datasets/create_full_cube.py

@@ -2,7 +2,7 @@
 import numpy as np
 
 def create_cube(output_path="file://datasets/cube"):
-    rawdata = np.full(shape=(100, 100, 100), fill_value=255.0).astype(np.float32)
+    rawdata = np.full(shape=(100, 100, 100), fill_value=70.0).astype(np.float32)
     CloudVolume.from_numpy(
         rawdata,
         vol_path=output_path,

neuroglancer_utils/create_datasets/create_full_cube_16.py

@@ -0,0 +1,15 @@
+from cloudvolume import CloudVolume
+import numpy as np
+
+
+def create_cube(output_path="file://datasets/cube-sixteen"):
+    rawdata = np.full(shape=(100, 100, 100), fill_value=70).astype(np.uint32)
+    CloudVolume.from_numpy(
+        rawdata,
+        vol_path=output_path,
+        resolution=(40, 40, 40),
+        chunk_size=(100, 100, 100),
+        layer_type="image",
+        progress=True,
+        compress=False,
+    )