Skip to content

GitLab

Commit 9c1f1f1b authored by Josh's avatar Josh
Browse files

changed the structure of the database and updated 'initDB' and 'importAndProcess'

parent 379eff76
Hide whitespace changes
Inline Side-by-side
Scripts/ai4hdrDatabase.py
View file @ 9c1f1f1b
......@@ -5,28 +5,17 @@ from ai4hdr_utils import *
Database file structure example:
|-- ImageDatabase
│   |-- MeanShift
| | |--image_name-id
| | | |--128x128
| | | | |--image_name-128-smap-0-0.<ext> <- segmented map
| | | | |--image_name-128-simage-0-0.<ext> <- segmented image
| | | |--256x256
| | | |--512x512
│   |-- Original
| | |--uniqueImageId <-- dir name with unique id created on import, used for querying
| | | |--uniqueImageId.<ext>
│   |-- Images
| | |--<autoInc>-<imgExt>-<name>
| | | |--<autoInc>-<imgExt>-<name>-Original.<imgExt>
| | | |--Sliced
| | | | |--128x128
| | | | | |--uniqueSliceId.<ext> <-- used to query database
| | | | | |--image_name-128-simage-0-0.<ext> <- segmented image
| | | | | |--<autoInc>-<imgExt>-<name>-128-xPix-yPix
| | | | | | |--<autoInc>-<imgExt>-<name>-128-xPix-yPix-Slice.<imgExt>
| | | | | | |--Processed
| | | | | | | |--<autoInc>-<imgExt>-<name>-128-xPix-yPix-<procType>-Processed.<imgExt>
| | | | |--256x256
| | | | |--512x512
│   |-- Sliced
| | |--image_name-id
| | | |--128x128
| | | | |--image_name-128-0-0.<ext> <- sliced image
| | | |--256x256
| | | |--512x512
'''
def initDB( dbLoc: str, name: str ) -> bool:
......@@ -34,9 +23,7 @@ def initDB( dbLoc: str, name: str ) -> bool:
Initialized the image database at a given directory
File Struture:
|-- ImageDatabase
│   |-- MeanShift
│   |-- Original
│   |-- Sliced
│   |-- Data
'''
dbLoc = pathlib.Path( dbLoc )
......@@ -44,20 +31,20 @@ def initDB( dbLoc: str, name: str ) -> bool:
if dbDir.is_dir():
return False
else:
originalImagesDir = dbDir.joinpath( "Original" )
slicedImagesDir = dbDir.joinpath( "Sliced" )
meanShiftSegDir = dbDir.joinpath( "MeanShift" )
imagesDir = dbDir.joinpath( "Images" )
#slicedImagesDir = dbDir.joinpath( "Sliced" )
#meanShiftSegDir = dbDir.joinpath( "MeanShift" )
os.mkdir( dbDir )
os.mkdir( originalImagesDir )
os.mkdir( slicedImagesDir )
os.mkdir( meanShiftSegDir )
os.mkdir( imagesDir )
#os.mkdir( slicedImagesDir )
#os.mkdir( meanShiftSegDir )
return True
def importAndProcess( imgPath: str, dbPath: str, newImgName: str ):
'''
Returns: Name used to query DB for image
Slices and segments an image and imports it into the database
'''
imgPath = pathlib.Path( imgPath ).absolute()
dbPath = pathlib.Path( dbPath ).absolute()
......@@ -67,13 +54,11 @@ def importAndProcess( imgPath: str, dbPath: str, newImgName: str ):
print( "ERROR: No database exists at {}".format( dbPath ) )
return False
# Internal database directories
originalPath = dbPath.joinpath( "Original" )
meanShiftPath = dbPath.joinpath( "MeanShift" )
slicedPath = dbPath.joinpath( "Sliced" )
# Internal database directory
imagesPath = dbPath.joinpath( "Images" )
# Ensure database was initialized correctly
if not originalPath.is_dir() or not meanShiftPath.is_dir() or not slicedPath.is_dir():
if not imagesPath.is_dir():
print( "ERROR - Database Not Initialized: Use 'initDB.py' to init database.")
return False
......@@ -84,63 +69,66 @@ def importAndProcess( imgPath: str, dbPath: str, newImgName: str ):
fileExt = imgPath.name.split( "." )[-1]
# Auto increment id
dbID = len( [f for f in originalPath.iterdir() ] )
# Step 2: Save to Original, create MS, Sliced dirs
originalFileName = originalPath.joinpath( "{}-{}.{}".format( newImgName, dbID, fileExt ) )
cv2.imwrite( str( originalFileName ), imgArr )
imgSlicedPath = slicedPath.joinpath( "{}-{}".format( newImgName, dbID ) )
imgMSPath = meanShiftPath.joinpath( "{}-{}".format( newImgName, dbID ) )
dbIDs = [int( f.name.split( "-" )[0] ) for f in imagesPath.iterdir() ]
dbID = max( dbIDs ) + 1
# Create dir for image
baseImagePath = imagesPath.joinpath( "{}-{}-{}".format( dbID, fileExt, newImgName ) )
baseImageName = baseImagePath.name
os.mkdir( baseImagePath )
# Step 2: Save Original File
baseImageFilePath = baseImagePath.joinpath( "{}-{}.{}".format( baseImageName, "Original", fileExt ) )
cv2.imwrite( str( baseImageFilePath ), imgArr )
# Create dir for sliced images
slicedImagePath = baseImagePath.joinpath( "Sliced" )
os.mkdir( slicedImagePath )
# Run processing
processedResult = sliceAndMeanShift( imgArr )
# Create slice and meanshift dirs
os.mkdir( imgSlicedPath )
os.mkdir( imgMSPath )
# Save Slices
sizes = [ "128", "256", "512" ]
print( "|--------------- SLICES ---------------|" )
for size in sizes:
imgSlicedSizePath = imgSlicedPath.joinpath( str( size ) )
os.mkdir( imgSlicedSizePath )
for imgRes in processedResult["slices"][size]:
i = imgRes[0]
j = imgRes[1]
slicedImg = imgRes[2]
finalFileName = "{}-{}-{}".format( newImgName, i, j )
sliceSizePath = imgSlicedSizePath.joinpath( "{}.{}".format( finalFileName, fileExt ) )
print( "SAVING IMAGE:", sliceSizePath )
cv2.imwrite( str( sliceSizePath ), slicedImg )
print( "|--------------- MEAN SHIFT ---------------|" )
# Save Mean Shift Results
for size in sizes:
imgMSSizePath = imgMSPath.joinpath( str( size ) )
os.mkdir( imgMSSizePath )
for imgRes in processedResult["meanShift"][size]:
i = imgRes[0]
j = imgRes[1]
numRegions = imgRes[2]
segImage = imgRes[3]
labelImage = imgRes[4]
finalFileName = "{}-{}-{}".format( newImgName, i, j )
segColorPath = imgMSSizePath.joinpath( "{}-color-seg.{}".format( finalFileName, fileExt ) )
labelImgPath = imgMSSizePath.joinpath( "{}-labels-image".format( finalFileName ) )
print( "SAVING IMAGE:", segColorPath )
print( "SAVING IMAGE:", labelImgPath )
## scale labelsImage to [0,255]
#labelsImage = labelsImage.astype( float )
#labelsImage /= labelsImage.max()
#labelsImage *= 255
## save results to image files
cv2.imwrite( str( segColorPath ), segImage )
#cv2.imwrite( str( labelImgPath ), labelImage )
np.save( str( labelImgPath ), labelImage )
\ No newline at end of file
slicedSizePath = slicedImagePath.joinpath( size )
os.mkdir( slicedSizePath )
# Slices and corresponding processed images
sliceList = processedResult["slices"][size]
processedList = processedResult["meanShift"][size]
for i in range( len( sliceList ) ):
# <autoInc>-<imgExt>-<name>-128-xPix-yPix
x = sliceList[i][0]
y = sliceList[i][1]
sliceArr = sliceList[i][2]
sliceBaseName = "{}-{}-{}-{}".format( baseImageName, size, x, y )
sliceBasePath = slicedSizePath.joinpath( sliceBaseName )
os.mkdir( sliceBasePath )
# Save Sliced Image
sliceFilePath = sliceBasePath.joinpath( "{}-{}.{}".format( sliceBaseName, "Sliced", fileExt ) )
cv2.imwrite( str( sliceFilePath ), sliceArr )
# Create Processed Slice Path
sliceProcPath = sliceBasePath.joinpath( "Processed" )
os.mkdir( sliceProcPath )
# Segmented image and label image
msSegArr = processedList[i][3]
msLabImg = processedList[i][4]
msSegFileDir = sliceProcPath.joinpath( "{}-{}-{}.{}".format( sliceBaseName,
"MeanShiftSegmentation",
"Processed",
fileExt ) )
msLabFileDir = sliceProcPath.joinpath( "{}-{}-{}".format( sliceBaseName,
"MeanShiftLabels",
"Processed" ) )
# Save processed image and label array
cv2.imwrite( str( msSegFileDir ), msSegArr )
np.save( str( msLabFileDir ), msLabImg )
\ No newline at end of file
Scripts/importAndProcessImage.py
View file @ 9c1f1f1b
import sys
import pathlib
from ai4hdr_utils import importAndProcess
from ai4hdrDatabase import importAndProcess
if __name__ == "__main__":
'''
......
Scripts/initDB.py
View file @ 9c1f1f1b
import sys
import pathlib
from ai4hdr_utils import initDB
from ai4hdrDatabase import initDB
if __name__ == "__main__":
'''
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment