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danmacnish avatar danmacnish commented on July 17, 2024

Yep, this is certainly possible - you're looking for imageprocessor.annotate_image(), and the corresponding call in workflow.py. I commented out this code, as it required matplotlib as a dependency, and it was non-trivial to get it working on the pi.

    def annotate_image(self, image, boxes, classes, scores, threshold=0.5):
        """draws boxes around the detected objects and labels them
        :return: annotated image
        """
        annotated_image = image.copy()
        # vis_util.visualize_boxes_and_labels_on_image_array(
        #     annotated_image,
        #     np.squeeze(boxes),
        #     np.squeeze(classes).astype(np.int32),
        #     np.squeeze(scores),
        #     self._labels,
        #     use_normalized_coordinates=True,
        #     line_thickness=8,
        #     min_score_thresh=threshold)
        return annotated_image

from cartoonify.

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