def inventoryshape(classdir):
filecount = len(glob(classdir + "/*.jpg"))
print('determining optimal image resolution...')
db = Base('shape', save_to_file=False)
db.create('filename', 'height', 'width', 'count')
index = 0
for imagePath in glob(classdir + "/*.jpg"):
index = index + 1
try:
img = cv2.imread(imagePath)
filename = os.path.basename(imagePath)
shape = img.shape
h = shape[0]
w = shape[1]
pre = db(height=h, width=w)
# see if there is already an image of this shape in the DB...
if pre:
# ...if so - update the count
rec_id = pre[0]['__id__']
counter = int(pre[0]['count'])
counter = counter + 1
record = db[rec_id]
db.update(record, count=counter)
else:
# ...if not - insert the new shape
db.insert(filename=filename, height=h, width=w, count=1)
sys.stdout.write("reading shape for image #{} of {} \r".format(
index, filecount))
sys.stdout.flush()
time.sleep(0.1)
except Exception, e:
print('error processing image {}: {}'.format(imagePath, e))
continue
def pydblite():
from pydblite.pydblite import Base
db = Base('dummy', save_to_file=False)
# create new base with field names
db.create('name', 'age', 'size')
# insert new record
db.insert(name='homer', age=23, size=1.84)
# records are dictionaries with a unique integer key __id__
# simple selection by field value
records = db(name="homer")
# complex selection by list comprehension
res = [r for r in db if 30 > r['age'] >= 18 and r['size'] < 2]
print("res:", res)
# delete a record or a list of records
r = records[0]
db.delete(r)
list_of_records = []
r = db.insert(name='homer', age=23, size=1.84)
list_of_records.append(db[r])
r = db.insert(name='marge', age=36, size=1.94)
list_of_records.append(db[r])
# or generator expression
for r in (r for r in db if r['name'] in ('homer', 'marge')):
# print "record:", r
pass
db.delete(list_of_records)
rec_id = db.insert(name='Bart', age=15, size=1.34)
record = db[rec_id] # the record such that record['__id__'] == rec_id
# delete a record by its id
del db[rec_id]
# create an index on a field
db.create_index('age')
# update
rec_id = db.insert(name='Lisa', age=13, size=1.24)
# direct access by id
record = db[rec_id]
db.update(record, age=24)
# add and drop fields
db.add_field('new_field', default=0)
db.drop_field('name')
# save changes on disk
db.commit()
def pydblite():
from pydblite.pydblite import Base
db = Base('dummy', save_to_file=False)
# create new base with field names
db.create('name', 'age', 'size')
# insert new record
db.insert(name='homer', age=23, size=1.84)
# records are dictionaries with a unique integer key __id__
# simple selection by field value
records = db(name="homer")
# complex selection by list comprehension
res = [r for r in db if 30 > r['age'] >= 18 and r['size'] < 2]
print "res:", res
# delete a record or a list of records
r = records[0]
db.delete(r)
list_of_records = []
r = db.insert(name='homer', age=23, size=1.84)
list_of_records.append(db[r])
r = db.insert(name='marge', age=36, size=1.94)
list_of_records.append(db[r])
# or generator expression
for r in (r for r in db if r['name'] in ('homer', 'marge')):
# print "record:", r
pass
db.delete(list_of_records)
rec_id = db.insert(name='Bart', age=15, size=1.34)
record = db[rec_id] # the record such that record['__id__'] == rec_id
# delete a record by its id
del db[rec_id]
# create an index on a field
db.create_index('age')
# update
rec_id = db.insert(name='Lisa', age=13, size=1.24)
# direct access by id
record = db[rec_id]
db.update(record, age=24)
# add and drop fields
db.add_field('new_field', default=0)
db.drop_field('name')
# save changes on disk
db.commit()
