Display And Download Image.py

label_id_offset = 0
image_np_with_detections = image_np.copy()

# Use keypoints if available in detections
keypoints, keypoint_scores = None, None
if 'detection_keypoints' in result:
  keypoints = result['detection_keypoints'][0]
  keypoint_scores = result['detection_keypoint_scores'][0]

viz_utils.visualize_boxes_and_labels_on_image_array(
      image_np_with_detections[0],
      result['detection_boxes'][0],
      (result['detection_classes'][0] + label_id_offset).astype(int),
      result['detection_scores'][0],
      category_index,
      use_normalized_coordinates=True,
      max_boxes_to_draw=200,
      min_score_thresh=.30,
      agnostic_mode=False,
      keypoints=keypoints,
      keypoint_scores=keypoint_scores,
      keypoint_edges=COCO17_HUMAN_POSE_KEYPOINTS,
      line_thickness=4)

fig = plt.figure(figsize=(24,32))
plt.imshow(image_np_with_detections[0])
plt.show()
fig.savefig('/content/frame.png', dpi=300, bbox_inches='tight')
#DPI is the quality of the image. It is set to 300, but if you want it to be higher quality you can set it to 1000, it will take longer to download the image.