AlexFWulff

import SoapySDR
from SoapySDR import *
import numpy as np

fsamp = 8e6
fcenter = 107.9e6
nsamp = 2**20
# Apparently it takes AGC a while to settle in?
throwaway_time = 0.02

AlexFWulff

import SoapySDR
from SoapySDR import *
import numpy
import time

args = dict(driver="plutosdr", hostname="192.168.2.1")
sdr = SoapySDR.Device(args)

# Setup device
sdr.setSampleRate(SOAPY_SDR_RX, 0, 10e6)

AlexFWulff

// HackRF lib
#include <hackrf.h>
// Normal system libs
#include <stdio.h>
#include <stdlib.h>
#include <stdbool.h>
#include <unistd.h>
#include <signal.h>

// Device object

AlexFWulff

import numpy as np
from os import environ
environ["KERAS_BACKEND"] = "plaidml.keras.backend"
import keras
from keras.layers import Dense
from matplotlib import pyplot as plt

# Params
num_samples = 100000; vect_len = 20; max_int = 10; min_int = 1;

AlexFWulff

if ~exist('port','var')
    ports = serialportlist;
    port = serialport(ports(end),115200);
end

configureTerminator(port,"CR");
x = input('Sample Name to Write: \n','s');

count = 1; sample_len = 500; plotWinSize = 100;
data = NaN(1,sample_len); plot(data)

AlexFWulff

n02099601-golden_retriever | 0.88617605
n02104029-kuvasz | 0.027797867
n02099267-flat-coated_retriever | 0.02071613
n02100735-English_setter | 0.011913459
n02102318-cocker_spaniel | 0.010424928
n02102177-Welsh_springer_spaniel | 0.0103628095
...

AlexFWulff

let model = try? VNCoreMLModel(for: DogNet().model)
let request = VNCoreMLRequest(model: model!) { (request, error) in
let results = request.results as! [VNClassificationObservation]
    for result in results {
        print("\(result.identifier) | \(result.confidence)")
    }
}
        
let handler = VNImageRequestHandler.init(cgImage: UIImage(named: "Chelsea.JPG")!.cgImage!, options: [:])
try? handler.perform([request])

AlexFWulff

+------------------+--------------+------------------+
| Images Processed | Elapsed Time | Percent Complete |
+------------------+--------------+------------------+
| 1                | 8.62s        | 0%               |
| 2                | 8.69s        | 0%               |
| 3                | 8.76s        | 0%               |
| 4                | 8.82s        | 0%               |
...                ...            ...
| 20400            | 21m 49s      | 99%              |
| 20450            | 21m 52s      | 99.25%           |

AlexFWulff

import CreateMLUI
let builder = MLImageClassifierBuilder()
builder.showInLiveView()