AsharFatmi

click==7.1.2
gurobipy==9.1.2
itsdangerous==1.1.0
Jinja2==2.11.3
llist==0.8
MarkupSafe==1.1.1
natsort==7.1.1
numpy==1.19.5
orderedset==2.0.3
pkg-resources==0.0.0

AsharFatmi

import logging


def logInfoDetils(info):

    logging.basicConfig(
        format='%(asctime)s -- {%(levelname)s}  ==>  %(message)s', level=logging.INFO)

    logging.info(info)
    pass

AsharFatmi

from itertools import cycle
from shutil import get_terminal_size
from threading import Thread
from time import sleep


class Loader:
    def __init__(self, desc="Loading...", end="Done!", timeout=0.1):
        """
        A loader-like context manager

AsharFatmi

import numpy as np
from PIL import Image
import cv2
from src.keras_utils import reconstruct
import pycuda.driver as cuda
import pycuda.autoinit # For automatic creation and cleanup of CUDA context

import tensorrt as trt

import utils

AsharFatmi

import numpy as np
import cv2
import time

from os.path import splitext

from src.label import Label
from src.utils import getWH, nms
from src.projection_utils import getRectPts, find_T_matrix

AsharFatmi

#!/usr/bin/env python3

# Copyright 2019 NVIDIA Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#

AsharFatmi

import numpy as np
import cv2

cap = cv2.VideoCapture(0)  # for IPCamera format : rtsp://admin:[email protected]:554/1

# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter('traffic_video_back.mp4',fourcc, 15.0, (1920,1080))
frame_count = 0
while(cap.isOpened()):