how to print the segmentation mask value#

Great packages! amazed! So, my question is that I’m going through your tutorial got the code but didn’t work for me. I want to print the Instance segmentation mask value ?? my output code is given below Another one is how to serve this through an API ??

import pixellib
from pixellib.instance import custom_segmentation
import cv2

instance_seg = custom_segmentation()
instance_seg.inferConfig(num_classes= 2, class_names= ["BG", "butterfly", "squirrel"])
instance_seg.load_model("/content/mask_rcnn_models/mask_rcnn_model.027-0.335725.h5")
segmask, output = instance_seg.segmentImage("/content/Nature/test/butterfly (10).jpg", show_bboxes= True, output_image_name="e_out.jpg")
cv2.imwrite("img.jpg", output)
print(segmask.get('rois'))
for item in segmask.items():
    print(item)

output mask is Flase not get the value. Let me know please

[[ 42  32 172 232]]
('rois', array([[ 42,  32, 172, 232]], dtype=int32))
('class_ids', array([1], dtype=int32))
('scores', array([0.98511064], dtype=float32))
('masks', array([[[False],
        [False],
        [False],
        ...,
        [False],
        [False],
        [False]],

       [[False],
        [False],
        [False],
        ...,
        [False],
        [False],
        [False]],

       [[False],
        [False],
        [False],
        ...,
        [False],
        [False],
        [False]],

       ...,

       [[False],
        [False],
        [False],
        ...,
        [False],
        [False],
        [False]],

       [[False],
        [False],
        [False],
        ...,
        [False],
        [False],
        [False]],

       [[False],
        [False],
        [False],
        ...,
        [False],
        [False],
        [False]]]))

[wisi-testpilot]

Dear ayoolaolafenwa

Thank you for the very nice program. I want to use the Instance segmentation mask values to count and meassure the objects, but with the recently introduced command mask_points_values=True I get an error message, see below.

Without mask_points_values=True it works, but I only get [False False False].

Alternatively, is it possible to generate an output without the original image overlay, like it is possible in the semantic segmentation? You may implement the command: overlay = False in the Instance Segmentation. Then I will investigate the areas with Opencv.

My program:

import cv2
import pixellib
from pixellib.instance import instance_segmentation

segment_image = instance_segmentation()
segment_image.load_model("mask_rcnn_coco.h5")
seg, output = segment_image.segmentImage("k.jpg", extract_segmented_objects=True, save_extracted_objects =True,
                                         show_bboxes=True, output_image_name= "a.jpg", mask_points_values=True)

print(seg['masks'])

…

Processed image saved successfully in your current working directory.
Traceback (most recent call last):
  File "C:\Users\User\Desktop\ki\in2.py", line 22, in <module>
    seg, output = segment_image.segmentImage("k.jpg", extract_segmented_objects=True, save_extracted_objects =True,
  File "C:\Users\User\AppData\Roaming\Python\Python39\site-packages\pixellib\instance.py", line 284, in segmentImage
    for a in range(extract_mask.shape[2]):
IndexError: tuple index out of range

C:\Users\User\Desktop\ki>

[whoafridi]

Amazing & thank you for great success in the upcoming time . Take care