ashnair1

"""
Script for visualising the size comparison between the object and the image to determine accurate anchor sizes
"""

from PIL import Image 
import numpy as np

img_size = (1024,1024)
obj_size = (16,16)

ashnair1

import image_slicer
from PIL import Image

def parser():
    arg_parser = argparse.ArgumentParser('Image Slicer')
    arg_parser.add_argument('--image', help='Image to be sliced')
    arg_parser.add_argument('--num_tiles', help='Number of tiles')
    arg_parser.add_argument('--save_tiles', help="Save tiles",action='store_true')
    arg_parser.add_argument('--tiles_dir',help="Directory to store tiles",type=str)
    return arg_parser.parse_args()

ashnair1

import numpy as np
import json
import matplotlib.pyplot as plt
from collections import Counter

# For jupyter notebook
#%matplotlib inline

# TODO: Clean up this code

ashnair1

# -*- coding:utf-8 -*-
import os
import cv2
import json
import pprint
import numpy as np
from PIL import Image

category_dict = {'plane': 0, 'ship': 1, 'storage-tank': 2, 'baseball-diamond': 3, 'tennis-court': 4, 'basketball-court': 5,
            'ground-track-field': 6, 'harbor': 7, 'bridge': 8, 'small-vehicle': 9, 'large-vehicle': 10,

ashnair1

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

ashnair1

from json import load, dump
from argparse import ArgumentParser
from re import compile
import sys
import os


parser = ArgumentParser(description="Group (merge) multiple GeoJSON files.")

defaults = dict(outfile=sys.stdout)

ashnair1

1. Rescale specfic bands and write them to output tiff

gdal_translate -ot Byte -b 5 -b 3 -b 2 -scale_1 0 1970 0 255 -scale_2 0 1860 0 255 -scale_3 0 1174 0 255 WV.TIF WV_RGB.TIF

We take bands 5 (red), 3 (green) and 2(blue), scale them to 8 bit range and write it to an output file. Things to note:

a. Output scale by default is 0 to 255, so there's no real reason to specify. 
b. Once we pick the bands, they are thereafter referred w.r.t output. This is why we specify `scale_1` to rescale band 5 because band 5 in the input is band 1 of output.

ashnair1

import os 
import shutil


src_dir = "./Files"
dst_dir = "./Result"



"""

ashnair1

ashnair1

Geospatial

Contents

• Software Installation Notes
• Editing GeoJSONs using QGIS
• Image Registration

Software Installation Notes

• SNAP
  • For MacOS