Update pages/videostream.py

pages/videostream.py

@@ -1,116 +1,31 @@
-"""The VideoStreamInterface provides an easy way to apply transforms to a video stream"""
-import numpy as np
+import hvplot.pandas
+import holoviews as hv
 import panel as pn
-import param
-import skimage
-from PIL import Image, ImageFilter
-from skimage import data, filters
-from skimage.color.adapt_rgb import adapt_rgb, each_channel
-from skimage.draw import rectangle
-from skimage.exposure import rescale_intensity
-from skimage.feature import Cascade
-from videostream_utils import PILImageTransform, NumpyImageTransform, VideoStreamInterface
+from bokeh.sampledata.iris import flowers
 
-pn.extension("terminal", sizing_mode="stretch_width")
+pn.extension(sizing_mode="stretch_width")
+hv.extension("bokeh")
 
-ACCENT = "#fef3c7"
+accent_color = "#ff286e"
 
+scatter = flowers.hvplot.scatter(
+    x="sepal_length", y="sepal_width", c=accent_color, responsive=True, height=350
+)
+hist = flowers.hvplot.hist("petal_width", c=accent_color, responsive=True, height=350)
 
-class GaussianBlur(PILImageTransform):
-    """Gaussian Blur
-
-    https://pillow.readthedocs.io/en/stable/reference/ImageFilter.html#PIL.ImageFilter.GaussianBlur
-    """
-
-    radius = param.Integer(default=2, bounds=(0, 10))
-
-    def transform(self, image: Image):
-        return image.filter(ImageFilter.GaussianBlur(radius=self.radius))
-
-
-class GrayscaleTransform(NumpyImageTransform):
-    """GrayScale transform
-
-    https://scikit-image.org/docs/0.15.x/auto_examples/color_exposure/plot_rgb_to_gray.html
-    """
-
-    def transform(self, image: np.ndarray):
-        grayscale = skimage.color.rgb2gray(image[:, :, :3])
-        return skimage.color.gray2rgb(grayscale)
-
-
-class SobelTransform(NumpyImageTransform):
-    """Sobel Transform
-
-    https://scikit-image.org/docs/0.15.x/auto_examples/color_exposure/plot_adapt_rgb.html
-    """
-
-    def transform(self, image):
-        @adapt_rgb(each_channel)
-        def sobel_each(image):
-            return filters.sobel(image)
-
-        return rescale_intensity(1 - sobel_each(image))
-
-
-@pn.cache()
-def get_detector():
-    """Returns the Cascade detector"""
-    trained_file = data.lbp_frontal_face_cascade_filename()
-    return Cascade(trained_file)
-
-class FaceDetectionTransform(NumpyImageTransform):
-    """Face detection using a cascade classifier.
-
-    https://scikit-image.org/docs/0.15.x/auto_examples/applications/plot_face_detection.html
-    """
-
-    scale_factor = param.Number(1.4, bounds=(1.0, 2.0), step=0.1)
-    step_ratio = param.Integer(1, bounds=(1, 10))
-    size_x = param.Range(default=(60, 322), bounds=(10, 500))
-    size_y = param.Range(default=(60, 322), bounds=(10, 500))
-
-    def transform(self, image):
-        detector = get_detector()
-        detected = detector.detect_multi_scale(
-            img=image,
-            scale_factor=self.scale_factor,
-            step_ratio=self.step_ratio,
-            min_size=(self.size_x[0], self.size_y[0]),
-            max_size=(self.size_x[1], self.size_y[1]),
-        )
-
-        for patch in detected:
-            rrr, ccc = rectangle(
-                start=(patch["r"], patch["c"]),
-                extent=(patch["height"], patch["width"]),
-                shape=image.shape[:2],
-            )
-            image[rrr, ccc, 0] = 200
-
-        return image
+scatter.opts(size=10)
 
+selection_linker = hv.selection.link_selections.instance()
 
-component = VideoStreamInterface(
-    transforms=[
-        GaussianBlur,
-        GrayscaleTransform,
-        SobelTransform,
-        FaceDetectionTransform,
-    ]
-)
+scatter = selection_linker(scatter)
+hist = selection_linker(hist)
 
-component.video_stream.timeout=1000
-component.video_stream.param.timeout.bounds=(250, 2000)
+scatter.opts(tools=["hover"], active_tools=["box_select"])
+hist.opts(tools=["hover"], active_tools=["box_select"])
 
 pn.template.FastListTemplate(
-    site="Awesome Panel 🤗",
-    title="VideoStream with transforms",
-    sidebar=[component.settings],
-    main=[
-        """Try a much, much faster version <a href="https://sharing.awesome-panel.org/MarcSkovMadsen/videostream-interface/app.html" target="_blank">here</a> powered by Webassembly.""",
-        component],
-    favicon="https://sharing.awesome-panel.org/favicon.ico",
-    accent=ACCENT,
-    header_color="#4b5563"
-).servable()
+    site="Awesome Panel and HoloViews",
+    title="Cross Filtering/ Linked Brushing",
+    header_background=accent_color,
+    main=[scatter, hist],
+).servable()