moodoki

#!/bin/bash

count=0

if [ $# -ne 2 ]; then
    >&2 echo "Usage: $0 <input_file> <output_dir>"
    >&2 echo "This script downloads all the tar files listed in the text file from https://ai.facebook.com/datasets/segment-anything-downloads/"
    >&2 echo "To use this, accept the terms there, download the text file and run this script with it"
    exit 1
fi

moodoki

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>BackgroundColor</key>
	<data>
	YnBsaXN0MDDUAQIDBAUGBwpYJHZlcnNpb25ZJGFyY2hpdmVyVCR0b3BYJG9iamVjdHMS
	AAGGoF8QD05TS2V5ZWRBcmNoaXZlctEICVRyb290gAGjCwwTVSRudWxs0w0ODxAREldO
	U1doaXRlXE5TQ29sb3JTcGFjZVYkY2xhc3NNMCAwLjg5OTk5OTk4ABADgALSFBUWF1ok
	Y2xhc3NuYW1lWCRjbGFzc2VzV05TQ29sb3KiFhhYTlNPYmplY3QIERokKTI3SUxRU1dd

moodoki

import streamlit as st
#CameraThread is a sub-class of threading.Thread

@st.cache(allow_output_mutation=True)
def get_or_create_camera_thread():
    for th in threading.enumerate():
        if th.name == 'CameraThread':
            th.stop()
            th.join()
    cw = CameraThread(name='CameraThread')

moodoki

import threading
import numpy as np
import cv2

class CameraThread(threading.Thread):
    def __init__(self, name='CameraThread'):
        super().__init__(name=name, daemon=True)
        self.stop_event = False
        self.open_camera()
        self.setup_inference_engine()

moodoki

import streamlit as st
import cv2
import tflite_runtime.interpreter as tflite
import numpy as np
import threading
from zipfile import ZipFile

BOX_COLOR = (0, 255, 255) #Yellow
TF_LITE_MODEL = './lite-model_ssd_mobilenet_v1_1_metadata_2.tflite'
CLASSES_OF_INTEREST = ['person', 'car', 'cat', 'dog']

moodoki

moodoki

<div>
    <div style="position:relative;padding-top:56.25%">
        <iframe src="<youtube-embed-url-here" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe>
    </div>
</div>

moodoki

#!/usr/bin/env bash

if [ "$#" -ne 1 ]; then
    echo "Usage download_dataset <path_to_save>"
    exit 1
fi

SCRIPT_PATH="$( cd "$(dirname "$0")" ; pwd -P )"
TEMP_DIR=`mktemp -d 2>/dev/null || mktemp -d -t 'mytmpdir'`
echo $SCRIPT_PATH

moodoki

import os, argparse

import tensorflow as tf
from tensorflow.python.framework import graph_util

dir = os.path.dirname(os.path.realpath(__file__))

def freeze_graph(model_folder, output_nodes='y_hat', 
                 output_filename='frozen-graph.pb', 
                 rename_outputs=None):

moodoki

SET(CMAKE_SYSTEM_NAME Linux)

SET(CMAKE_SYSROOT /path/to/rootfs)

#debian dependencies required for building:
# libpthread-stubs0-dev_0.3-2_armel.deb
# libx11-6_1.3.3-4+squeeze1_armel.deb
# libx11-dev_1.3.3-4+squeeze1_armel.deb
# libxau-dev_1.0.6-1_armel.deb
# libxcb1_1.6-1+squeeze1_armel.deb