| source: https://stackoverflow.com/questions/37987839/how-can-i-run-tensorboard-on-a-remote-server#40413202 | |
| ssh -L 16006:127.0.0.1:6006 user@my_server_ip | |
| $ tensorboard --logdir=/path/ | |
| * open browser on local machine. >> localhost:16006 |
| # gets read from a database, hardwired here | |
| NDVI_COLORMAP="006600 008800 00BB00 00FF00 CCFF00 FFFF00 FFCC00 FF8800 FF0000 EE0000 DD0000 CC0000 BB0000 AA0000 990000 880000 770000" | |
| NIR_INPUT=nir_input.tif | |
| NIR_OUTPUT=nir_output.tif | |
| RED_INPUT=red_input.tif | |
| RED_OUTPUT=red_output.tif | |
| NDVI_IMAGE=new_ndvi.tif |
covariance matrix
numpy http://wiki.scipy.org/Tentative_NumPy_Tutorial
http://stackoverflow.com/a/21759340 Python b1 = np.array([21,78,45,133,12,245,19,148,35,19,149,251,210,168,47,153]).reshape(4, 4) b2 = np.array([41,105,210,148,94,15,32,179,36,14,195,75,84,158,157,255]).reshape(4, 4) b3 = np.array([97,152,87,211,35,147,153,25,98,78,123,14,52,210,96,128]).reshape(4, 4)
| import argparse | |
| import pyexiv2 | |
| import cv2 | |
| import os.path | |
| import numpy as np | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("-i", "--input", required=True, help="input image name.") | |
| args = vars(ap.parse_args()) |
| echo "name, altitude" > output.csv | |
| for tif in ./path/to/images/0003/*.TIF; do | |
| name=$(exiftool $tif | grep 'Original Raw File Name') | |
| alt=$(exiftool $tif | grep 'GPS Altitude :') | |
| echo "$name, $alt" >> output.csv | |
| done |
| var todoList = { | |
| todos: [], | |
| addTodo: function(todoText) { | |
| this.todos.push({ | |
| todoText: todoText, | |
| completed: false | |
| }); | |
| }, | |
| changeTodo: function(position, todoText) { | |
| this.todos[position].todoText = todoText; |