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#!/bin/bash
## This gist contains instructions about cuda v10.1 and cudnn 7.6 installation in Ubuntu 18.04 for Tensorflow 2.1.0
### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###
#!/bin/bash
## This gist contains instructions about cuda v10.1 and cudnn 7.6 installation in Ubuntu 18.04 for Tensorflow 2.1.0
### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###
@ShaharGigi
ShaharGigi / calculate_mean_ap.py
Created July 15, 2019 11:32 — forked from tarlen5/calculate_mean_ap.py
Calculate mean Average Precision (mAP) for a set of ground truth and predicted bounding boxes for a set of images.
"""
author: Timothy C. Arlen
date: 28 Feb 2018
Calculate Mean Average Precision (mAP) for a set of bounding boxes corresponding to specific
image Ids. Usage:
> python calculate_mean_ap.py
Will display a plot of precision vs recall curves at 10 distinct IoU thresholds as well as output
@ShaharGigi
ShaharGigi / timeseries_cnn.py
Created June 16, 2018 19:04 — forked from jkleint/timeseries_cnn.py
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""
from __future__ import print_function, division
import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential