def images_to_single_fruit_centroid(fruit_number, image_path):
import PIL
image = PIL.Image.open(image_path).resize((320,240), PIL.Image.NEAREST)
# fruit = (Image(image_path, grey=True)==fruit_number)*1.0
fruit = Image(image)==fruit_number
# import pdb; pdb.set_trace()
blobs = fruit.blobs()
# plt.imshow(fruit.image)
# plt.annotate(str(fruit_number), np.array(blobs[0].centroid).reshape(2,))
# plt.show()
# assert len(blobs) == 1, "Must have only 1 fruit of the given fruit type in this photo"
return np.array(blobs[0].centroid).reshape(2,) # (2,)
>>> im = Image('shark2.png')
>>> blobs = im.blobs()
>>> print(blobs)
"""
return Blob(self, **kwargs)
if __name__ == "__main__":
from machinevisiontoolbox import Image
import matplotlib.pyplot as plt
im = Image('shark2.png')
blobs = im.blobs()
print(blobs)
im.disp()
blobs.plot_labelbox(color='yellow')
blobs.plot_centroid()
plt.show()
# # read image
# from machinevisiontoolbox import Image
# im = Image(cv.imread('images/multiblobs.png', cv.IMREAD_GRAYSCALE))
# # call Blobs class
# b = Blob(image=im)
# # plot image
# # plot centroids of blobs