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#!/bin/bash | |
# | |
# script to extract ImageNet dataset | |
# ILSVRC2012_img_train.tar (about 138 GB) | |
# ILSVRC2012_img_val.tar (about 6.3 GB) | |
# make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory | |
# | |
# https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md | |
# | |
# train/ |
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# -*- coding: utf-8 -*- | |
import cv2 | |
import tensorflow as tf | |
import numpy as np | |
# https://www.tensorflow.org/lite/guide/hosted_models | |
# http://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip | |
def detect_from_camera(): |
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from scipy.spatial.distance import pdist, squareform | |
import numpy as np | |
import copy | |
def distcorr(Xval, Yval, pval=True, nruns=500): | |
""" Compute the distance correlation function, returning the p-value. | |
Based on Satra/distcorr.py (gist aa3d19a12b74e9ab7941) | |
>>> a = [1,2,3,4,5] |