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image-organizer.py
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image-organizer.py
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import math
import os
import time
import cv2
from datetime import datetime
from database import storeGroup, withoutProcessedPaths, storeProcessedPaths, getAllCameras
from settings import DEBUG, DELETE_PROCESSED, OUTPUT_DIR, DOWNSCALE, DELETE_PROCESSED, BASE_INPUT_DIR, MOVE_FILES, REMOVE_ORIGINAL_QRCODE
from slugify import slugify
from natsort import os_sorted
time.clock = time.time
run_identity = f'{time.clock()}-{datetime.now().strftime("%H:%M:%S-%d/%m/%Y")}'
def debug(msg, show=False):
log_file = open('log.txt', 'a')
if (DEBUG or show):
print(msg)
print(msg, file=log_file)
log_file.close()
debug(f'\n\n--------------------------------------\nRUN {run_identity}\n')
def getInputPaths(path):
absolute_paths = []
file_path = BASE_INPUT_DIR + path
if os.path.isdir(file_path):
absolute_input_dir = os.path.realpath(file_path)
input_relatives = os.listdir(file_path)
for file in input_relatives:
absolute_paths.append(os.path.join(absolute_input_dir, file))
return absolute_paths
def loadImages(paths):
images = []
byte_count = 0
for path in paths:
img = cv2.imread(path)
if hasattr(img, 'shape'):
w, h, colors = img.shape
byte_count += w*h*colors
if (DOWNSCALE and w*h > (2000*1000)):
downscaled = (math.floor(h / 2), math.floor(w / 2))
img = cv2.resize(cv2.imread(path), downscaled)
images.append([path, img])
return [images, byte_count]
def categorizeImagesByQrCode(images):
image_accumulator = []
groups = {}
detector = cv2.QRCodeDetector()
debug('\tStarting QR Code detection proccess...')
for [path, img] in images:
found, qr_rect = detector.detect(img)
debug(f'\t\t{path} detected? ->{ found}')
if (found):
qr_data = detector.decode(img, qr_rect)
code = qr_data[0]
debug(f'\t\t{path} code: {code}')
if (len(code) == 0):
debug(f'\t\t{path} invalid qrcode value, its empty')
image_accumulator += [[path, img]]
continue
if (str(code) in groups):
groups[str(code)] += image_accumulator + [[path, img]]
else:
groups[str(code)] = image_accumulator
if (REMOVE_ORIGINAL_QRCODE):
os.remove(path)
image_accumulator = []
else:
image_accumulator += [[path, img]]
if (len(image_accumulator) > 0):
debug('\n\t\t No QR code found in remaining images')
for [path, img] in image_accumulator:
debug(f'\t\t{path}')
debug('\t\t----------------------------------------\n')
if (len(groups.keys()) == 0):
debug('\t\tNo group was created in this run.')
return groups
def storeGroups(groups, camera_id, user_id):
processed_paths = []
for key in groups:
debug(f'\n\t\tGroup {key} has {len(groups[key])} images \n')
foldername = slugify(key, separator="-")
folderpath = os.path.join(OUTPUT_DIR, foldername)
debug(f'\t\tGroup {key}: path->{folderpath}')
if (not os.path.exists(folderpath)):
os.system(f'mkdir {folderpath}')
else:
debug(f'\t\tNot creating folder {foldername} for it already exists')
if (os.path.exists(folderpath)):
for [path, img] in groups[key]:
# group = groups[key]
processed_paths += [path]
new_imagepath = os.path.join(folderpath, os.path.basename(path))
if (MOVE_FILES):
os.rename(src=path, dst=new_imagepath)
debug(f'\t\Moved {path} to {new_imagepath}')
else:
cv2.imwrite(new_imagepath, img)
debug(f'\t\tCopied {path} to {new_imagepath}')
else:
debug(f'\t\tSomething has gone wrong, folder {foldername} doesnt exist and couldnt be created.')
if (len(processed_paths) > 0):
debug(f'\n\t\tStoring in database which paths were copied.')
storeProcessedPaths(processed_paths)
debug('f\n\t\tDB DONE')
if (DELETE_PROCESSED):
debug('\n\t\t Deleting original files in input directory.')
for path in processed_paths:
if (os.path.exists(path)):
os.remove(path)
debug(f'\t\t {path} Deleted')
else:
debug(f'\t\t {path} Doesnt exist, did nothing.')
if (len(groups) > 0):
debug('\n\t\t Calling main database to store the image groups')
for code in groups:
storeGroup(groups[code], code, camera_id, user_id)
debug ('\t\t DB Done\n')
def processFiles(paths, camera_id, user_id):
byte_count = 0
images = []
# ---------------------------------------------------------------------------- #
image_reading_counter = time.perf_counter()
[images, byte_count] = loadImages(paths)
image_reading_counter = time.perf_counter() - image_reading_counter
debug(f'\n\tRead {byte_count} raw bytes image data in {image_reading_counter} seconds \n')
# ---------------------------------------------------------------------------- #
qr_performance_counter = time.perf_counter()
groups = categorizeImagesByQrCode(images)
qr_performance_counter = time.perf_counter() - qr_performance_counter
debug(f'\n\tFound {len(groups)} groups in {qr_performance_counter} seconds \n')
# ---------------------------------------------------------------------------- #
store_performance_counter = time.perf_counter()
storeGroups(groups, camera_id, user_id)
store_performance_counter = time.perf_counter() - store_performance_counter
return [byte_count, qr_performance_counter, image_reading_counter, store_performance_counter]
if (__name__ == '__main__'):
general_counter = time.perf_counter()
cameras = getAllCameras()
for camera in enumerate(cameras):
cameraObj = camera[1]._data[0]
paths = getInputPaths(cameraObj.diretorio)
# debug('\nConsulting db to discard already processed paths.\n')
pending_paths = withoutProcessedPaths(paths)
# debug('\nDB done\n')
debug('\nCAMERA: ' + cameraObj.diretorio + ', LEN: ' + str(len(paths)))
sorted_paths = os_sorted(pending_paths)
for i, path in enumerate(sorted_paths):
debug(f'\tfile({i}):{path}')
# debug ('\nNow loading images and looking for QR Codes')
[bytes_read, qr_time, image_time, store_time] = processFiles(sorted_paths, cameraObj.id, cameraObj.user_id)
# debug(f'\nRead {bytes_read} bytes of raw image data\n{qr_time} seconds to detect QR Codes\n{image_time} seconds to load images\n{store_time} seconds to store images on their groups')
general_counter = time.perf_counter() - general_counter
debug(f'\nTotal time: {general_counter} seconds\n', True)