out = []
for im in self:
if im.iscolor:
R = gamma_decode(m.red, gamma)
G = gamma_decode(im.green, gamma)
B = gamma_decode(im.blue, gamma)
out.append(np.dstack((R, G, B)))
else:
out.append(gamma_decode(im.image, gamma))
return self.__class__(out)
# --------------------------------------------------------------------------#
if __name__ == '__main__':
# test run ImageProcessingColor.py
print('ImageProcessingColor.py')
from machinevisiontoolbox.Image import Image
im = Image('monalisa.png')
im.disp()
imcs = Image.showcolorspace()
imcs.disp()
import code
code.interact(local=dict(globals(), **locals()))
for i in range(len(b)):
icont[i] = i
colors[i] = (rng.randint(0,
256), rng.randint(0,
256), rng.randint(0, 256))
cv.rectangle(drawing, (b[i].umin, b[i].vmin), (b[i].umax, b[i].vmax),
colors[i],
thickness=2)
# cv.putText(drawing, str(i), (int(b[i].uc), int(b[i].vc)),
# fontFace=cv.FONT_HERSHEY_SIMPLEX, fontScale=1,
# color=colors, thickness=2)
drawing = b.drawBlobs(im,
drawing,
icont,
colors,
contourthickness=cv.FILLED)
# mvt.idisp(drawing)
# import matplotlib.pyplot as plt
# plt.imshow(d2)
# plt.show()
# mvt.idisp(d2)
im2 = Image('images/multiblobs_edgecase.png')
im2.disp()
# press Ctrl+D to exit and close the image at the end
import code
code.interact(local=dict(globals(), **locals()))