Ah, I see, thanks! I was confused because when I use matplotlib to display the PIL.Image object, it gives me a 4 channel uint8 image. But if I do plt.imshow(np.array(a)), it works perfectly.
Code:
depth_map is a 2d float32 np array
a = Image.fromarray(depth_map, mode='F')
plt.imshow(a) # gives me a 4 channel uint8 image
plt.imshow(np.array(a)) # gives the correct visualization
Code:
depth_map is a 2d float32 np array
a = Image.fromarray(depth_map, mode='F')
plt.imshow(a) # gives me a 4 channel uint8 image
plt.imshow(np.array(a)) # gives the correct visualization
edited_image_bytes = BytesIO()
image = Image.open(BytesIO(await request.read()))
frames = []
for frame in ImageSequence.Iterator(image):
d = ImageDraw.Draw(frame)
d.text((10, 100), "Hello World")
del d
b = BytesIO()
frame.save(b, format="GIF")
frames.append(Image.open(b))
frames[0].save(edited_image_bytes, format='GIF', save_all=True, append_images=frames[1:])
The file is empty
I have PIL specified in the external library thing
Project > Properties > PYDEV - PYTHONPATH
I have it pointed to the folder I extracted from the download on the Pillow website
Do I need to point to Pillow - 7.0.0 or PIL in the scr folder of Pillow - 7.0.0
attempting to copy just the PIL folder and use that changes nothing
I think if I do that and restart I get a different error though
In the "project references" it shows that it is indeed referencing PIL
Parent module '' not loaded, cannot perform relative import
When I stick these in a folder and then call from there
using from folder import Image
i get this: ImportError: cannot import name '_imaging'
from . import ImageMode, TiffTags, UnidentifiedImageError, __version__, _plugins
from ._binary import i8, i32le
from ._util import deferred_error, isPath
Parent module '' not loaded, cannot perform relative import
Which i think is just from running Image.py when its inside the package / whatever
but I thought that might help
so thats working
it appears to be an error with something in Image.py
and idk what to do about it. I'm assuming it's becuase its just the PIL folder and not anything else
i have now imported the entire pillow folder
have made a test py function, and have imported it
so I know that works and that I can import files from the PIL folder
when I try to import Image though i get this
ImportError: cannot import name '_imaging'
Is there a way to identify the exact settings for Image.save from original image (to avoid image size on disk inflation)?
img_path = Path("my_image.jpeg")
o = Image.open(img_path)
print(f"Original image size: {img_path.lstat().st_size}")
... # perform lossless transformations like crop
o.save("transformed_img.jpeg", quality=100, subsampling=0)This approach leads to an increase in size. I'm not sure how to achieve this.
Complete code which for now does not do any transformations but opens and saves the image back to disk - https://colab.research.google.com/drive/1pCtAcbZD6YsIzA7vKn7xktF7Hp-leqo7
@Nithanaroy considering that even saving and opening a JPG can result in different pixel values - https://github.com/python-pillow/Pillow/issues/3015#issuecomment-368218971 - I wouldn’t think this is possible at the moment with Pillow
@Peaceful-Whale https://github.com/python-pillow/Pillow/issues/3115#issuecomment-385713336 is someone with a similar problem in the past, if that’s of any help
For example I want to read only the text with red (0.66133) , green(0.65608) , gray (0.65995) or blue (0.65773) background from this image: https://www.tradingview.com/x/e37LLsNZ Using pytesseract to get text from image
To give you a quick answer - if I rephrase your request, you want to crop out parts of an image within a rectangle outline of a certain color. This problem is solved for a different situation in python-pillow/Pillow#4049, using https://pillow.readthedocs.io/en/stable/reference/PixelAccess.html to read individual pixel colors
from PIL import Image
colors = ((0,160,0),(33,150,243),(88,88,88),(255,0,0))
with Image.open('tradingview.png') as im:
px = im.load()
x, y = 0, 0
currentColor = None
processedPixels = []
i = 0
# Start searching through all the pixels
for y in range(0, im.height):
for x in range(0, im.width + 1):
def getColor(x, y):
try:
return px[x, y]
except IndexError:
return
if (x, y) in processedPixels:
continue
color = getColor(x, y)
if color != currentColor:
if currentColor is not None:
max_x = x
# The color line has ended, from min_x to max_x
x_range = min_x, max_x
# The left side of our rectangle must also be a solid color
# So search from the top left until we have a solid left side
for y2 in range(y+1, im.height+1):
for x2 in range(min_x, max_x+1):
if getColor(x2, y2) == currentColor:
min_x = x2
break
else:
# No color in this line, so we have hit the bottom of the rectangle
max_y = y2
break
# The same for the right side
for y2 in range(y+1, max_y+1):
for x2 in range(max_x+1, min_x, -1):
if getColor(x2, y2) == currentColor:
max_x = x2
break
# Check that this rectangle is of a reasonable size
if max_x - min_x > 10 and max_y - y > 10:
# Record that we've processed these pixels, to save time
for y2 in range(y, max_y+1):
for x2 in range(x_range[0], x_range[1]+1):
processedPixels.append((x2, y2))
# Check that the box is not purely one color
singleColor = True
for y2 in range(y, max_y+1):
for x2 in range(min_x, max_x+1):
if getColor(x2, y2) != currentColor:
singleColor = False
break
if not singleColor:
break
if not singleColor:
i += 1
# Save the cropped image
im.crop((min_x, y, max_x, max_y)).save("out_"+str(i)+".png")
if color in colors:
# Start a line with a relevant color
currentColor = color
min_x = x
else:
currentColor = None
Actually, I’ve just realised that you’ll want to increase the minimum size of the rectangles, otherwise it will identify parts of the TradingView logo. You get the idea though
