Got flirpy to work just fine except no color

[pyobox]

I'm running flirpy on my raspberry pi 4 using the example code and a lepton pure thermal 2. Works fine, except the picture is just black and white. How do I add false color? Here is my code: `` Import cv2 from flirpy.camera.lepton import Lepton import numpy as np

with Lepton() as camera:
    while True:
        img = camera.grab().astype(np.float32)

        # Rescale to 8 bit
        img = 255* (img - img.min())/(img.max()- 
 img.min())

        cv2.imshow('Lepton', img.astype(np.uint8))
        if cv2.waitKey(1) == 27:
            break  # esc to quit

cv2.destroyAllWindows()

``

[jveitchmichaelis]

Take a look at cv2.applyColorMap, something like:

with Lepton() as camera:
    while True:
        img = camera.grab().astype(np.float32)

        # Rescale to 8 bit
        img = 255* (img - img.min())/(img.max()- 
 img.min())

        img_col = cv2.applyColorMap(img.astype(np.uint8), cv2.COLORMAP_INFERNO)

        cv2.imshow('Lepton', img_col)
        if cv2.waitKey(1) == 27:
            break  # esc to quit

cv2.destroyAllWindows()

I haven't tested this, so let me know if it works and I'll update the example code on here.

There's a tutorial here: https://www.learnopencv.com/applycolormap-for-pseudocoloring-in-opencv-c-python/. For thermal images, you're probably expecting COLORMAP_MAGMA or COLORMAP_INFERNO.

[jveitchmichaelis]

If you're just using matplotlib then just apply a colormap as normal when you call imshow e.g. plt.imshow(img, cmap='magma')

[pyobox]

I applied the changes to my code that you proposed and I'm getting this error:

img_col = cv2.applyColorMap(img.astype(np.uint8), cv2.COLORMA_INFERNO) AttributeError: module 'cv2.cv2' has no attribute 'COLORMA_INFERNO'

Btw thank you so much for the quick response

[jveitchmichaelis]

oops typo - cv2.COLORMAP_INFERNO (if that still doesn't work, try COLORMAP_JET and check what version of OpenCV you have installed)

[pyobox]

Changed it to COLORMAP_JET works like a charm thank you so much!

[jveitchmichaelis]

No problem. If you can't get INFERNO to work (that's the one that looks most like FLIR's standard "iron" colormap) then you can try running pip install --upgrade opencv-python-headless (you need version > 4.1 I think)

[pyobox]

A little update: I've been using an older version of openCv it was like 3.x.x because that's the only way to get opencv cascade commands to work, but i upgraded it back to 4.1.0.25 and all three Color Maps work perfectly! Again thanks for the help!