jerry73204

#!/usr/bin/env bash

if [ $#  -ne 1 ] ; then
    echo "Usage: $0 DIRECTORY"
fi

cd "$1" &&
    find . -type f -name '*.avi' -print0 |
        while IFS= read -r -d $'\0' file; do
            printf "%s\t" "$file"

jerry73204

import rclpy
from rclpy.node import Node

from nav_msgs.msg import Odometry
from lgsvl_msgs.msg import VehicleControlData, Detection3DArray


class Driver(Node):
    def __init__(self):
        super().__init__('Driver')

jerry73204

# Maintainer: acxz <akashpatel2008 at yahoo dot com>
pkgname=darknet-alexeyab
pkgver=r1833.bef28445
pkgrel=1
pkgdesc='YOLO: Real Time Object Detection Neural Network Library (AlexeyAB fork)'
arch=('i686' 'x86_64')
url='https://github.com/AlexeyAB/darknet'
license=('YOLO')
depends=()
optdepends=(opencv)

jerry73204

use failure::Fallible;
use serde::{
    de::Error as DeserializeError, ser::Error as SerializeError, Deserialize, Deserializer,
    Serialize, Serializer,
};
use std::fs;
use tch::{Device, Kind, Tensor};

fn main() -> Fallible<()> {
    let json = fs::read_to_string("example.json")?;

jerry73204

use failure::Fallible;
use ndarray::Array;
use std::convert::TryFrom;
use tch::Tensor;

fn main() -> Fallible<()> {
    let tensor = Tensor::try_from(Array::from_shape_fn(
        (3, 300, 200),
        |(channel, _row, _col)| match channel {
            0 => 1f32,

jerry73204

# Set the version we use
pkgver=4.3.0

# Download and unpack OpenCV source code
# Skip it if you already downloaded the file.
aria2c https://github.com/opencv/opencv/archive/$pkgver.tar.gz
tar -xf opencv-$pkgver.tar.gz

# Download and unpack OpenCV extra and plugins source code
# Skip it if you already downloaded the file.

jerry73204

use gnuplot::{AxesCommon, Figure};
use ndarray::{prelude::*, Array1};
use std::f64::consts::PI;

type RealFn = fn(f64) -> f64;
struct NamedFunction(String, RealFn);

struct Wave<F1, F2>
where
    F1: Fn(f64) -> f64,

jerry73204

use gnuplot::{AxesCommon, Figure};
use ndarray::{prelude::*, Array1};
use std::f64::consts::PI;

type RealFn = fn(f64) -> f64;
struct NamedFunction(String, RealFn);

struct Wave {
    U: Array1<f64>,
    f: Box<dyn Fn(f64) -> f64>,

jerry73204

use gnuplot::{AxesCommon, Figure};
use ndarray::{prelude::*, Array1};
use std::f64::consts::PI;

type RealFn = fn(f64) -> f64;
struct NamedFunction(String, RealFn);

struct Wave {
    U: Array1<f64>,
    f: Box<Fn(f64) -> f64>,

jerry73204

       Fresh cfg-if v0.1.10
       Fresh autocfg v1.0.0
       Fresh unicode-xid v0.2.0
       Fresh pkg-config v0.3.17
       Fresh lazy_static v1.4.0
       Fresh version_check v0.9.1
       Fresh slab v0.4.2
       Fresh smallvec v1.2.0
       Fresh itoa v0.4.5
       Fresh futures-core v0.3.4