ownerer

#!/bin/sh

# anything added here gets executed as the final step of the /etc/rc.local file
# before it gets called rc.local will make sure this script is executable, yay!

chmod +x /persistent/script/loop.sh
chmod +x /persistent/script/process_texts.sh
/persistent/script/loop.sh /persistent/script/process_texts.sh 10 &

mixalbl4-127

Setup

Install xfce4

sudo apt update
sudo apt install xfce4 xfce4-goodies

Install TigerVNC -

h0bbel

# See http://help.ubuntu.com/community/UpgradeNotes for how to upgrade to
# newer versions of the distribution.
deb http://us.archive.ubuntu.com/ubuntu/ bionic main restricted
# deb-src http://us.archive.ubuntu.com/ubuntu/ bionic main restricted

## Major bug fix updates produced after the final release of the
## distribution.
deb http://us.archive.ubuntu.com/ubuntu/ bionic-updates main restricted
# deb-src http://us.archive.ubuntu.com/ubuntu/ bionic-updates main restricted

salihkaragoz

import json
data = json.load(open('instances_train2017.json'))

print data.keys()
#OUTPUT :
#  [u'info', u'licenses', u'images', u'annotations', u'categories']

print data['categories']

'''

vokiel

echo '{"id":8}' | http --verify=no POST https://service.dev/api/id Content-Type:application/json 'Cookie:XDEBUG_SESSION=PHPSTORM'

jkjung-avt

# --------------------------------------------------------
# Camera sample code for Tegra X2/X1
#
# This program could capture and display video from
# IP CAM, USB webcam, or the Tegra onboard camera.
# Refer to the following blog post for how to set up
# and run the code:
#   https://jkjung-avt.github.io/tx2-camera-with-python/
#
# Written by JK Jung <[email protected]>

pierrejoubert73

How to add a collapsible section in markdown

1. Example

Click me

Heading

1. Foo
2. Bar
   • Baz

• Qux

DrSleep

## http://cvlibs.net/datasets/kitti/eval_semantics.php
## https://omnomnom.vision.rwth-aachen.de/data/rwth_kitti_semantics_dataset.zip

### DATASET FOR SEMANTIC SEGMENTATION

kalaspuffar

def _load_simple_annotation(self, index):
    """
    Load image and bounding boxes info from txt space separeted values where you have
    lines in the format of
    classification x1 y1 x2 y2
    """
    filename = os.path.join(self._data_path, 'Annotations', index + '.txt')
    # print 'Loading: {}'.format(filename)
    
    with open(filename) as f:

lukebussey

Direct copy of pre-encoded file:

$ ffmpeg -i filename.mp4 -codec: copy -start_number 0 -hls_time 10 -hls_list_size 0 -f hls filename.m3u8