Python code how to realize the folder pictures in order every two transverse splices together? Seek-CodePudding

Python code to read how to implement in the folder pictures, and according to the order of the transverse splices together every 2 picture?

Such as folder pictures in this way, each picture size is, wide, 2048, 1024, how to implement in order to cross stitching every two pictures? Seek guidance

CodePudding user response:

Refer to this thread, the original is all stitching, into two splicing,

https://blog.csdn.net/ahaotata/article/details/84027000

CodePudding user response:

reference 1/f, old coconut response:

refer to this thread, the original is all stitching, into two splicing,

https://blog.csdn.net/ahaotata/article/details/84027000

Thank you, I change the path, image size, number, but there is an error operation, I won't change, can you tell me the need to change?

CodePudding user response:

The Windows directory name change, do not have space to try, or change a space to underline,

CodePudding user response:

reference 1/f, old coconut response:

refer to this thread, the original is all stitching, into two splicing,

https://blog.csdn.net/ahaotata/article/details/84027000

Thank you, I change the path and the image size and number of sheets, but running there is an error, I will not change, the error is: OSE rror: [123] WinError filename, directory name, or volume slogan method is not correct, : "G: \ \ data \ two image \ \
My address is in the code: G: \ data \ two image \ \
Could you tell me how to change is needed here?

CodePudding user response:

So try

You two new directory
G: \ data \ test1
G: \ data \ test2

Copy the image to g: \ data \ test1

Code change directory,

IMAGES_PATH='g: \ \ data \ \ test1 \ \' # photo collections address

IMAGE_SAVE_PATH='g: \ \ data \ \ test1 \ \ final JPG' # image converted address

CodePudding user response:

IMAGE_SAVE_PATH='g: \ \ data \ \ test2 \ \ final JPG' # image converted address

CodePudding user response:

Verify the success, and then change back to your target path

CodePudding user response:

Ok ok, I try, thank you

CodePudding user response:

Is, the original image size wide high is 256 in the program, I image size is 2048 wide, high is 1024, here is not the same?

CodePudding user response:

 import PIL. Image as Image # PIP install -i pillow https://pypi.tuna.tsinghua.edu.cn/simple 
The import OS 

Download IMAGES_PATH='E: \ \ \ \ idm \ \ img \ \' # photo collections address 
IMAGES_FORMAT=[' JPG ', 'JPG'] # image format 
IMAGE_SIZE=256 # each picture of small size 
IMAGE_ROW=4 # image interval, which is merged into one picture, there are a few lines 
IMAGE_COLUMN=4 # image interval, which is merged into one picture, there are a few columns 
Download IMAGE_SAVE_PATH='E: \ \ \ \ idm \ \ img \ \ final' # image converted address 
Start=1 
# get all the pictures of photo collections address under the name 
Image_names=[name for the name in OS. Listdir (IMAGES_PATH) for the item in IMAGES_FORMAT if 
OS. Path. Splitext (name) [1]==item] 
Print (image_names) 
# simple for parameter setting and the size of the actual images of the number of 
# if len (image_names)!=IMAGE_ROW * IMAGE_COLUMN: 
# -raise ValueError (" the number of parameters and requirement of synthetic images can't match!" ) 

# define image matching function 
Def image_compose (start) : 
While the int (start) * * IMAGE_ROW IMAGE_COLUMN & lt;=len (image_names) : 
To_image=Image. The new (RGB, (IMAGE_COLUMN * IMAGE_SIZE, IMAGE_ROW * IMAGE_SIZE)) # to create a new 
# to iterate over, stick each image in order to the corresponding position 
IMAGE_ROW for y in range (1, + 1) : 
For x in range (1, IMAGE_COLUMN + 1) : 
Try: 
From_image=Image. Open (IMAGES_PATH + image_names IMAGE_COLUMN [(start - 1) * * IMAGE_ROW + IMAGE_COLUMN * (y - 1) + x - 1]). The resize ((IMAGE_SIZE, IMAGE_SIZE), Image. ANTIALIAS) 
To_image. Paste (from_image, (* IMAGE_SIZE (x - 1), (1) y * IMAGE_SIZE)) 

Except the Exception as e: 
Pass 
Raise e 
To_image. Save (IMAGE_SAVE_PATH + STR (start) + 'JPG') 
Start +=1 
Return # save new 
Image_compose (start) # function call

CodePudding user response:

 import PIL. Image as Image # PIP install -i pillow https://pypi.tuna.tsinghua.edu.cn/simple 
The import OS 

Download IMAGES_PATH='E: \ \ \ \ idm \ \ img \ \' # photo collections address 
IMAGES_FORMAT=[' JPG ', 'JPG'] # image format 
IMAGE_VSIZE=118 # each picture of small size 
IMAGE_HSIZE=256 # each picture of small size 
IMAGE_ROW=4 # image interval, which is merged into one picture, there are a few lines 
IMAGE_COLUMN=4 # image interval, which is merged into one picture, there are a few columns 
Download IMAGE_SAVE_PATH='E: \ \ \ \ idm \ \ img \ \ final' # image converted address 
Start=1 
# get all the pictures of photo collections address under the name 
Image_names=[name for the name in OS. Listdir (IMAGES_PATH) for the item in IMAGES_FORMAT if 
OS. Path. Splitext (name) [1]==item] 
Print (image_names) 
# simple for parameter setting and the size of the actual images of the number of 
# if len (image_names)!=IMAGE_ROW * IMAGE_COLUMN: 
# -raise ValueError (" the number of parameters and requirement of synthetic images can't match!" ) 

# define image matching function 
Def image_compose (start) : 
While the int (start) * * IMAGE_ROW IMAGE_COLUMN & lt;=len (image_names) : 
To_image=Image. The new (RGB, (IMAGE_COLUMN * IMAGE_HSIZE, IMAGE_ROW * IMAGE_VSIZE)) # to create a new 
# to iterate over, stick each image in order to the corresponding position 
IMAGE_ROW for y in range (1, + 1) : 
For x in range (1, IMAGE_COLUMN + 1) : 
Try: 
From_image=Image. Open (IMAGES_PATH + image_names IMAGE_COLUMN [(start - 1) * * IMAGE_ROW + IMAGE_COLUMN * (y - 1) + x - 1]). The resize ((IMAGE_HSIZE, IMAGE_VSIZE), Image. ANTIALIAS) 
To_image. Paste (from_image, (* IMAGE_HSIZE (x - 1), (1) y * IMAGE_VSIZE)) 

Except the Exception as e: 
Pass 
Raise e 
To_image. Save (IMAGE_SAVE_PATH + STR (start) + 'JPG') 
Start +=1 
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