marp |
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import cv2 | |
import time | |
CONFIDENCE_THRESHOLD = 0.2 | |
NMS_THRESHOLD = 0.4 | |
COLORS = [(0, 255, 255), (255, 255, 0), (0, 255, 0), (255, 0, 0)] | |
class_names = [] | |
with open("classes.txt", "r") as f: | |
class_names = [cname.strip() for cname in f.readlines()] |
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import tensorflow as tf | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import functools | |
from PIL import Image | |
""" | |
TensorFlow Data Augmentation Example | |
Reference : https://github.com/tensorflow/models/blob/master/research/object_detection/core/preprocessor.py |
Charts are from different sources and thus colors are inconsistent, please carefully read the chart's legends.
Like this? Check React Native vs Flutter: https://gist.github.com/tkrotoff/93f5278a4e8df7e5f6928eff98684979

Before you start, make sure ip
command is available on your system. In modern Linux distributions, ip
replaces older ifconfig
command. If net-tools
package (that includes ifconfig
) is not installed and you prefer using it, you can install it via sudo apt-get install net-tools
.
Use touch /home/pi/wifi-reconnect.sh
to create a shell script file,
with the following content:
#!/bin/bash
sudo apt-get install autoconf automake libtool curl make g++ unzip -y
git clone https://github.com/google/protobuf.git
cd protobuf
git submodule update --init --recursive
./autogen.sh
make
make check
sudo make install
sudo ldconfig
C1 | C2 | C3 | C4 | |
---|---|---|---|---|
CV_8U | 0 | 8 | 16 | 24 |
CV_8S | 1 | 9 | 17 | 25 |
- Download ngrok binary
- https://ngrok.com/download
- unzip to /opt/ngrok
- Create /etc/systemd/system/ngrok.service
- Create /opt/ngrok/ngrok.yml
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package main | |
import ( | |
"fmt" | |
"strings" | |
"gopkg.in/ldap.v2" | |
) | |
const ( | |
ldapServer = "ad.example.com:389" |