Comments (1)
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.
Related Issues (20)
- turn camera off when not capturing
- What is pi?
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- Wiring diagram issue - AA noted in text, AAA noted in diagram HOT 2
- Cheaper Hardware HOT 3
- Update interface reference for greater compatibility HOT 1
- requirements_desktop.txt
- connecting using a 4 pin button to the circuit
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- some questions
- Simple typo in the docstring for build_non_max_suppressor
- What an adorable idea.
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- ImportError: cannot import name run HOT 8
- Add some examples? HOT 6
- How to use it? HOT 1
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from cartoonify.