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()