'list' object has no attribute 'point_within_zone'

Hi there, thanks for the question!

Try to upgrade the PeekingDuck version first by doing the following:

pip install -U peekingduck

and update us on whether it resolves the attribute error you are facing.

Yes you were right, I had an older version, what a dumb ass. Thank you very much!

Also here is a working version of that code in case anyone needs it

import cv2

from peekingduck.pipeline.nodes.draw import bbox, btm_midpoint, zones, legend
from peekingduck.pipeline.nodes.model import yolo
from peekingduck.pipeline.nodes.dabble import bbox_to_btm_midpoint, zone_count
from peekingduck.pipeline.nodes.output import screen

DEFAULT_FILENAME = "temp.mp4"

try:

    def humanDetection(frame):
        yolo_input = {"img": frame}
        yolo_output = yolo_node.run(yolo_input)

        if len(yolo_output["bboxes"]) > 0:

            midpoint_bbox_input = {
                "img": frame,
                "bboxes": yolo_output["bboxes"],
            }
            midpoint_bbox_output = midpoint_bbox_node.run(midpoint_bbox_input)
            zone_count_output = zone_count_node.run(
                {"btm_midpoint": midpoint_bbox_output["btm_midpoint"]}
            )

            bbox_input = {
                "img": frame,
                "bboxes": yolo_output["bboxes"],
                "bbox_labels": yolo_output["bbox_labels"],
            }
            bbox_node.run(bbox_input)

            midpoint_draw_node.run(
                {"img": frame, "btm_midpoint": midpoint_bbox_output["btm_midpoint"]}
            )

            zones = zone_count_output["zones"]
            zone_count = zone_count_output["zone_count"]

            zones_draw_node.run({"img": frame, "zones": zones})

            legend_output = legend_draw_node.run(
                {"img": frame, "filename": DEFAULT_FILENAME, "zone_count": zone_count}
            )

            screen_node.run({"img": legend_output["img"], "filename": DEFAULT_FILENAME})

    yolo_node = yolo.Node(score_threshold=0.25)
    bbox_node = bbox.Node(show_labels=True)
    midpoint_bbox_node = bbox_to_btm_midpoint.Node()
    midpoint_draw_node = btm_midpoint.Node()
    zone_count_node = zone_count.Node()
    zones_draw_node = zones.Node(
        resolution=[1280, 720],
        zones=[
            [[0, 0], [640, 0], [640, 720], [0, 720]],
            [[0.5, 0], [1, 0], [1, 1], [0.5, 1]],
        ],
    )
    legend_draw_node = legend.Node(show=["zone_count"])
    screen_node = screen.Node()

    camera = cv2.VideoCapture(0)

    if __name__ == "__main__":
        while True:
            result, frame = camera.read()
            humanDetection(frame)


except Exception as e:
    print("Exception occurred")
    print(e)

Thanks for the reply! Much appreciated for the active engagement and interest shown 😊 

Just a correction regarding my above code. The resolution and zones should have been declared on the zone_count_node not on the zones_draw_node. Like this

    zone_count_node = zone_count.Node(
        resolution=[1280, 720],
        zones=[
            [[0, 0], [0.2, 0], [0.2, 1], [0, 1]],
            [[0.8, 0], [1, 0], [1, 1], [0.8, 1]],
        ],
    )
    zones_draw_node = zones.Node()