Value | Color |
---|---|
\e[0;30m | Black |
\e[0;31m | Red |
\e[0;32m | Green |
\e[0;33m | Yellow |
\e[0;34m | Blue |
\e[0;35m | Purple |
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# CAMERA INTERFACE CODE FOR THE HUAWEI ATLAS 200 DK | |
import cffi | |
import numpy as np | |
class AtlasCamera: | |
def __init__(self, cameraId=0, height=720, width=1280, frame_rate=20, | |
debug_print=False, libmedia_path="/usr/lib64/libmedia_mini.so"): | |
super().__init__() |
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// Here is an extremely simple version of work scheduling for multiple | |
// processors. | |
// | |
// The Problem: | |
// We have a lot of numbers that need to be math'ed. Doing this on one | |
// CPU core is slow. We have 4 CPU cores. We would thus like to use those | |
// cores to do math, because it will be a little less slow (ideally | |
// 4 times faster actually). | |
// | |
// The Solution: |
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""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
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package main | |
import ( | |
"bytes" | |
"fmt" | |
"io" | |
"log" | |
"mime/multipart" | |
"net/http" | |
"os" |