kunalgoyal9

import plotly.graph_objects as go

# Create the figure
fig = go.Figure()

# Add the text annotation
annotation = go.layout.Annotation(
    x=-0.047,
    y=1.025,
    xref="paper",

kunalgoyal9

// SPDX-License-Identifier: MIT

pragma solidity ^0.7.0;

/**
 * @dev Wrappers over Solidity's arithmetic operations with added overflow
 * checks.
 *
 * Arithmetic operations in Solidity wrap on overflow. This can easily result
 * in bugs, because programmers usually assume that an overflow raises an

kunalgoyal9

import requests
import sys
import getopt

def send_slack_message(message):
    payload = '{"text": "%s"}' % message
    response = requests.post("https://hooks.slack.com/services/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", 
                             data = payload)
    print(response.text)

kunalgoyal9

class Point:
    def __init__(self, x, y):
        self.x = x
        self.y = y

def onSegment(p, q, r): 
    if ( (q.x <= max(p.x, r.x)) and (q.x >= min(p.x, r.x)) and(q.y <= max(p.y, r.y)) and (q.y >= min(p.y, r.y))): 
        return True
    return False

kunalgoyal9

import cv2
import os
frames_path = "/home/kunal/Vehicle_detection_tflite/Data-dashboard-Frames"
videos_path = "/home/kunal/Vehicle_detection_tflite/Data-dashboard"

videos = os.listdir(videos_path)
idx = 0

for video in videos:
    path = os.path.join(videos_path, video)

kunalgoyal9

#
# Copyright 1993-2019 NVIDIA Corporation.  All rights reserved.
#
# NOTICE TO LICENSEE:
#
# This source code and/or documentation ("Licensed Deliverables") are
# subject to NVIDIA intellectual property rights under U.S. and
# international Copyright laws.
#
# These Licensed Deliverables contained herein is PROPRIETARY and

kunalgoyal9

import pycuda.driver as cuda
import pycuda.autoinit
import numpy as np
from PIL import Image
import ctypes
import tensorrt as trt

from slowfast.config.defaults import get_cfg
from slowfast.datasets import loader