aliyevorkhan

import pymongo


def connect_server():  #connect mongo server
    myclient = pymongo.MongoClient("mongodb://localhost:27017/")
    return myclient

#######################DATABASE UTILS#################################
def create_db():
    mydb = myclient["mydatabase"] #create database

aliyevorkhan

import cv2
# import matplotlib.pyplot as plt
from glob import glob
import sys
import uuid
from tqdm import tqdm
import os

num_of_files = len([x for x in os.listdir(str(sys.argv[1])) if (x.endswith('.txt'))])

aliyevorkhan

import cv2
import sys
import uuid
from tqdm import tqdm

video_name = str(sys.argv[1])
e_rate = int(sys.argv[2])
cap = cv2.VideoCapture(video_name+'.mp4')
frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
count=0

aliyevorkhan

import glob
import sys
import os

lbls = []
frames = []
if_lbl_exists = False

for lbl in glob.glob(str(sys.argv[1])+'/*.txt'):
    lbls.append(lbl.split('/')[1].split('.')[0])

aliyevorkhan

import math

BATCH_SIZE=32

TRAINING_SIZE = 40000

# We take the ceiling because we do not drop the remainder of the batch
compute_steps_per_epoch = lambda x: int(math.ceil(1. * x / BATCH_SIZE))

steps_per_epoch = compute_steps_per_epoch(TRAINING_SIZE)

aliyevorkhan

import os
import cv2

src_path = os.path.abspath(os.path.join(os.getcwd(), "bolu_tunnel_nvr"))
print(src_path)

ch1_dst_path =  os.path.abspath(os.path.join(os.getcwd(), "ch1"))
ch2_dst_path =  os.path.abspath(os.path.join(os.getcwd(), "ch2"))

print(ch1_dst_path)

aliyevorkhan

import os
import cv2

src_path = os.path.abspath(os.path.join(os.getcwd(), "bolu_tunnel_nvr"))
print(src_path)

ch1_dst_path =  os.path.abspath(os.path.join(os.getcwd(), "ch1"))
ch2_dst_path =  os.path.abspath(os.path.join(os.getcwd(), "ch2"))

print(ch1_dst_path)

aliyevorkhan

import os
from PIL import Image

def has_transparency(img):
    if img.mode == "P":
        transparent = img.info.get("transparency", -1)
        for _, index in img.getcolors():
            if index == transparent:
                return True
    elif img.mode == "RGBA":

aliyevorkhan

import cv2
import glob, errno

# Replace mydir with the directory you want
mydir = 'Train1/'

#check if directory exist, if not create it
try:
    os.makedirs(mydir)
except OSError as e:

aliyevorkhan

import cv2

path = '/home/orkhan/Desktop/train/'
cap = cv2.VideoCapture('video.mp4')

i = 0
counter = 0
while cap.isOpened():
    ret, frame = cap.read()
    if not ret: