(Jul-01-2023, 11:51 AM)deanhystad Wrote: Post your error message and trace.
Did you copy the PIL or OpenCV example? Which package versions are you using? What Python are you using? What is the image file type?
Maybe you should just post your copied version of the code.
The error is the same for both PIL & OpenCV.
The background image is
jpg and the foreground image is
png
I'll put the full code below.
The full error is:
Traceback (most recent call last):
File "D:\Dropbox\My Documents\github\python-poster-mockup\blend_test.py", line 17, in <module>
blended_img_float = soft_light(background_img_float, foreground_img_float, opacity)
File "D:\Dropbox\My Documents\github\python-poster-mockup\venv\lib\site-packages\blend_modes\blending_functions.py", line 175, in soft_light
assert_image_format(img_in, _fcn_name, 'img_in')
File "D:\Dropbox\My Documents\github\python-poster-mockup\venv\lib\site-packages\blend_modes\type_checks.py", line 57, in assert_image_format
raise TypeError(err_msg)
TypeError: The blend_modes function "soft_light" received a numpy array with 3 layers for its argument "img_in". The function however expects a 4-layer array representing red, green, blue, and alpha channel for this argument. Please supply a numpy array that includes all 4 layers to the "img_in" argument.
The versions are:
aenum==3.1.15
blend-modes==2.1.0
click==8.1.3
colorama==0.4.6
deprecation==2.1.0
jsonpickle==3.0.1
markdown-it-py==3.0.0
mdurl==0.1.2
numpy==1.24.4
opencv-python==4.7.0.72
packaging==23.1
Pillow==9.5.0
Pillow-PIL==0.1.dev0
Pygments==2.15.1
rich==13.4.2
shellingham==1.5.0.post1
typer==0.9.0
typing_extensions==4.6.3
The code:
from PIL import Image
import numpy
from blend_modes import soft_light
# Import background image
background_img_raw = Image.open('./photos/template.jpg') # RGBA image
background_img = numpy.array(background_img_raw) # Inputs to blend_modes need to be numpy arrays.
background_img_float = background_img.astype(float) # Inputs to blend_modes need to be floats.
# Import foreground image
foreground_img_raw = Image.open('./photos/item1.png') # RGBA image
foreground_img = numpy.array(foreground_img_raw) # Inputs to blend_modes need to be numpy arrays.
foreground_img_float = foreground_img.astype(float) # Inputs to blend_modes need to be floats.
# Blend images
opacity = 0.7 # The opacity of the foreground that is blended onto the background is 70 %.
blended_img_float = soft_light(background_img_float, foreground_img_float, opacity)
# Convert blended image back into PIL image
blended_img = numpy.uint8(blended_img_float) # Image needs to be converted back to uint8 type for PIL handling.
blended_img_raw = Image.fromarray(blended_img) # Note that alpha channels are displayed in black by PIL by default.
# This behavior is difficult to change (although possible).
# If you have alpha channels in your images, then you should give
# OpenCV a try.
# Display blended image
blended_img_raw.show()
