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main_predict_gallaudet.py
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main_predict_gallaudet.py
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from datetime import datetime
import glob
import os
import subprocess
import time
import PySimpleGUI as sg
from fun_microDoppler_2243_complex import microDoppler
# from fun_rangeDoppler_2243_complex import rangeDoppler
from helpers import convert_to_bytes
from prediction import *
fname = 'data/raw_data_Raw_0.bin'
pred_filename = fname.replace('.bin', '_py.png')
# pred_filename = 'train_folder/maybe_04_py.png'
model_path = 'keras_model.h5'
new_model_name = 'keras_custom.h5'
im_size_default = (224, 224)
im_size = (128, 128)
train_path = 'train_folder'
sudo_password = '190396'
cwd = '/home/uarspl/Desktop/77ghz/CLI/CLI/Release'
radar_path = '/home/uarspl/Desktop/77ghz/CLI/open_radar_initiative-new_receive_test/setup_radar/build'
radar_cmd = './setup_radar'
export_cmd = 'LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$pwd'
# env = dict(os.environ)
# env = os.environ.copy()
# env['LD_LIBRARY_PATH'] = cwd + ':' + os.getcwd()
os.environ["LD_LIBRARY_PATH"] = cwd # + ':' + os.getcwd() # error code 127 when not executed
# print(env)
# os.system("LD_LIBRARY_PATH={}".format(os.getcwd()))
# env = dict(os.environ)
# env = os.environ.copy()
# env['LD_LIBRARY_PATH'] = '"{}":{}'.format(
# os.getcwd(), env.get('LD_LIBRARY_PATH', ''))
# print(env)
CREATE_NO_WINDOW = 0x08000000
# startupinfo = None
# if os.name == 'nt':
# startupinfo = subprocess.STARTUPINFO()
# startupinfo.wShowWindow = SW_HIDE
# startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
dca = './DCA1000EVM_CLI_Control'
fpga_cmd = './DCA1000EVM_CLI_Control fpga cf.json'.split()
# fpga_cmd = ["./DCA1000EVM_CLI_Control", "fpga cf.json"]
record_cmd = './DCA1000EVM_CLI_Control record cf.json'.split()
start_cmd = './DCA1000EVM_CLI_Control start_record cf.json'.split()
stop_cmd = './DCA1000EVM_CLI_Control stop_record cf.json'.split()
spect_size = (500, 500)
bcols = ['blue', 'orange', 'green']
BAR_WIDTH = 100
BAR_SPACING = 200
EDGE_OFFSET = 100
GRAPH_SIZE = (700, 500)
DATA_SIZE = (GRAPH_SIZE[0], 120)
graph = sg.Graph(GRAPH_SIZE, (0, 0), DATA_SIZE, background_color='white')
graph.erase()
myfont = "Ariel 18"
font_size = 20
sg.theme("DarkTeal2")
layout = [[sg.Text('Radar User Interface', size=(50, 2), font=('courier', font_size))],
[sg.Button('Setup Radar', button_color=('white', 'black'), size=(18, 2), font=('courier', font_size)),
sg.Text('', key='setup_text', font=('courier', 20)),
sg.Exit(button_color=('white', 'black'), size=(18, 2), font=('courier', font_size))],
[sg.Image(key='-IMAGE-', size=spect_size, background_color='white'),
sg.VSep(),
graph],
[
# sg.Button('1. Start Recording', button_color=('white', 'green'), size=(18, 2), font=('courier', font_size)),
# sg.Text(' ', key='start_text', font=('courier', font_size)),
# sg.VSep(),
sg.InputText(size=(10, 5), key='class_name', font=('courier', font_size), default_text='CLASS_NAME'),
sg.Text('Type the new class name here', # .\n(MAYBE and YOU are the default two classes.)',
key='default_classes', font=('courier', 20))],
[sg.Checkbox('Teaching', default=False, key="teaching_check", size=(10, 1), font=('courier', font_size)),
sg.Checkbox('Testing', default=False, key="testing_check", size=(10, 1), font=('courier', font_size))],
[
# sg.Button('2. Stop Recording', button_color=('white', 'red'), size=(18, 2), font=('courier', font_size)),
# sg.Text(' ', key='stop_text', font=('courier', font_size)),
# sg.VSep(),
sg.Button('Start Recording', key='train_start_record', button_color=('white', 'green'),
size=(18, 2), font=('courier', font_size)),
sg.Text('', key='train_start_record_text', font=('courier', font_size))],
[
# sg.Button('3. Micro-Doppler Signature', button_color=('white', 'blue'), size=(18, 2),
# font=('courier', font_size)),
# sg.Text(' ', key='md_text', font=('courier', font_size)),
# sg.VSep(),
sg.Button('Stop Recording', key='train_stop_record', button_color=('white', 'red'),
size=(18, 2), font=('courier', font_size)),
sg.Text('', key='train_stop_record_text', font=('courier', font_size))],
[
# sg.Button('4. Predict', button_color=('black', 'yellow'), size=(18, 2), font=('courier', font_size)),
# sg.Text(' ', key='pred_text', font=('courier', font_size)),
# sg.VSep(),
sg.Button('Train the model', key='train', button_color=('white', 'blue'),
size=(18, 2), font=('courier', font_size)),
# sg.Text('Learning\n Rate:', size=(8, 2), font=('courier', font_size)),
# sg.Combo(values=[0.001, 0.01, 0.1], default_value=0.001, key='learn_rate', size=(5, 12),
# font=('courier', font_size)),
# sg.VSep(),
# sg.Text('Num. of\nEpochs:', size=(7, 2), font=('courier', font_size)),
# sg.Combo(values=[10, 20, 50], default_value=50, key='epochs', size=(5, 12),
# font=('courier', font_size)),
# sg.VSep(),
# sg.Text('Num. of\nLayers:', size=(7, 2), font=('courier', font_size)),
# sg.Combo(values=[1, 3, 5, 10], default_value=3, key='layers', size=(5, 12),
# font=('courier', font_size))
],
[sg.Button('Predict on\nNew Data', key='pred_new', button_color=('black', 'yellow'),
size=(18, 2), font=('courier', font_size)),
sg.Text('', key='pred_new_text', font=('courier', font_size))]]
window = sg.Window('Radar GUI').Layout(layout)
while True: # Event Loop
event, values = window.Read()
if event in (None, 'Exit'):
break
if event == 'Setup Radar':
# window['md_text'].update(' ')
# window['rd_text'].update('')
# window['stop_text'].update(' ')
# window['start_text'].update(' ')
# std = subprocess.run(radar_cmd, cwd=radar_path, shell=True, stdin=subprocess.PIPE, # check=True,
# stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
# print('setup_radar: ', std.stderr)
pwd = subprocess.Popen(['echo', sudo_password], cwd=radar_path, stdout=subprocess.PIPE)
pwd.wait()
print('sudopass: ', pwd.stdout.read())
cmd = subprocess.Popen(['sudo', '-S'] + [radar_cmd], cwd=radar_path, stdin=pwd.stdout,
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
cmd.wait()
print('setup_radar error return code: ', cmd.stderr.read())
cmd = subprocess.Popen(fpga_cmd, cwd=cwd, shell=False, stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE) # , check=True)
cmd.wait()
print('fpga error return code: ', cmd.returncode)
print('fpga error2: ', cmd.stderr.read())
print('fpga stdout: ', cmd.stdout.read())
cmd = subprocess.Popen(record_cmd, cwd=cwd, shell=False, stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE) # , check=True)
cmd.wait()
# cmd.stdin.write("record cf.json")
# cmd.wait()
print('record error return code: ', cmd.returncode)
print('record error2: ', cmd.stderr.read())
print('record stdout: ', cmd.stdout.read())
if cmd.returncode == 0:
window['setup_text'].update('Radar is ready to go!')
else:
window['setup_text'].update('Radar is set already!')
elif event == '1. Start Recording':
# window['-IMAGE-'].update('data/md.png', size=spect_size)
# window['-VIDEO-'].update('data/rd.png')
window['md_text'].update(' ')
# window['rd_text'].update('')
window['stop_text'].update(' ')
window['start_text'].update('Go! ')
# window['setup_text'].update(' ')
window.refresh()
cmd = subprocess.Popen(start_cmd, cwd=cwd, shell=False, stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
cmd.wait()
# cmd.stdin.write("start_record cf.json")
# cmd.wait()
print('start error return code: ', cmd.returncode)
print('start error2: ', cmd.stderr.read())
print('start stdout: ', cmd.stdout.read())
elif event == '2. Stop Recording':
window['train_stop_record_text'].update('Stopping... ')
window['train_start_record_text'].update('')
# window['md_text'].update(' ')
# window['rd_text'].update('')
# window['start_text'].update(' ')
# window['setup_text'].update(' ')
window.refresh()
# cmd = subprocess.Popen(['sudo', '-S', 'kill', '`ps -e | grep -i gnome-terminal`'], cwd=cwd, shell=False,
# stdin=pwd.stdout, text=True,
# stdout=subprocess.PIPE, stderr=subprocess.PIPE) # , check=True)
# cmd.wait()
time.sleep(2)
pid = subprocess.check_output(['pgrep gnome-terminal'], shell=True) # , check=True)
print('pid stdoutstr: ' + str(pid.decode())[:-1] + '-')
cmd = subprocess.Popen(['kill', str(pid.decode())[:-1]], cwd=cwd, shell=False,
stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE) # , check=True)
cmd.wait()
print('exit error return code: ', cmd.returncode)
print('exit error2: ', cmd.stderr.read())
print('exit stdout: ', cmd.stdout.read())
cmd = subprocess.Popen(stop_cmd, cwd=cwd, shell=False, stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE) # , check=True)
cmd.wait()
# cmd.stdin.write("stop_record cf.json")
# cmd.wait()
print('stop error return code: ', cmd.returncode)
print('stop error2: ', cmd.stderr.read())
print('stop stdout: ', cmd.stdout.read())
window['train_stop_record_text'].update('Done! ')
window.refresh()
# elif event == '3. Micro-Doppler Signature':
window['train_stop_record_text'].update('Generating Micro-Doppler Signature...')
# window['stop_text'].update(' ')
window.refresh()
microDoppler(fname)
window['-IMAGE-'].update(data=convert_to_bytes(fname[:-4] + '_py.png', resize=spect_size))
window['train_stop_record_text'].update('Done! ')
window.refresh()
elif event == '4. Predict':
window['pred_text'].update('Predicting... ')
window['md_text'].update(' ')
window.refresh()
pred = prediction(model_path, pred_filename, im_size_default)
maybe = pred[0][0] * 100
you = pred[0][1] * 100
# add offset for visualization purposes
offset = 3
if maybe > you:
you += offset
you_offset = offset
maybe_offset = 0
else:
maybe += offset
you_offset = 0
maybe_offset = offset
graph.erase()
graph.draw_rectangle(top_left=(0 * BAR_SPACING + EDGE_OFFSET, maybe),
bottom_right=(0 * BAR_SPACING + EDGE_OFFSET + BAR_WIDTH, 0), fill_color=bcols[0])
graph.draw_rectangle(top_left=(1 * BAR_SPACING + EDGE_OFFSET, you),
bottom_right=(1 * BAR_SPACING + EDGE_OFFSET + BAR_WIDTH, 0), fill_color=bcols[1])
graph.draw_text(text='MAYBE --> ' + str(round(maybe - maybe_offset, 2))+'%',
location=(0 * BAR_SPACING + EDGE_OFFSET + 70, maybe + 10), color=bcols[0], font=myfont)
graph.draw_text(text='YOU --> ' + str(round(you - you_offset, 2)) + '%',
location=(1 * BAR_SPACING + EDGE_OFFSET + 70, you + 10), color=bcols[1], font=myfont)
window['pred_text'].update('Predicted! ')
window.refresh()
elif event == 'train_start_record':
# window['-IMAGE-'].update('data/md.png', size=spect_size)
# window['-VIDEO-'].update('data/rd.png')
# window['md_text'].update(' ')
# window['rd_text'].update('')
# window['stop_text'].update(' ')
window['train_start_record_text'].update('Go!')
# window['setup_text'].update
graph.erase()
window.refresh()
if values['teaching_check'] and not values['testing_check']:
cmd = subprocess.Popen(start_cmd, cwd=cwd, shell=False, stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
cmd.wait()
# cmd.stdin.write("start_record cf.json")
# cmd.wait()
print('train record start error return code: ', cmd.returncode)
print('train record start error2: ', cmd.stderr.read())
print('train record start stdout: ', cmd.stdout.read())
else:
# event = '1. Start Recording'
print('start testing record...')
# window['-IMAGE-'].update('data/md.png', size=spect_size)
# window['-VIDEO-'].update('data/rd.png')
# window['md_text'].update(' ')
# window['rd_text'].update('')
# window['stop_text'].update(' ')
window['train_start_record_text'].update('Go! ')
# window['setup_text'].update(' ')
window.refresh()
cmd = subprocess.Popen(start_cmd, cwd=cwd, shell=False, stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
cmd.wait()
# cmd.stdin.write("start_record cf.json")
# cmd.wait()
print('start error return code: ', cmd.returncode)
print('start error2: ', cmd.stderr.read())
print('start stdout: ', cmd.stdout.read())
elif event == 'train_stop_record':
if values['teaching_check'] and not values['testing_check']:
window['train_stop_record_text'].update('Stopping...')
# window['md_text'].update(' ')
# window['rd_text'].update('')
window['train_start_record_text'].update('')
# window['setup_text'].update(' ')
window.refresh()
time.sleep(2)
# cmd = subprocess.Popen(['sudo', '-S', 'kill', '`ps -e | grep -i gnome-terminal`'], cwd=cwd, shell=False,
# stdin=pwd.stdout, text=True,
# stdout=subprocess.PIPE, stderr=subprocess.PIPE) # , check=True)
# cmd.wait()
# time.sleep(2)
pid = subprocess.check_output(['pgrep gnome-terminal'], shell=True) # , check=True)
print('pid stdoutstr: ' + str(pid.decode())[:-1] + '-')
cmd = subprocess.Popen(['kill', str(pid.decode())[:-1]], cwd=cwd, shell=False,
stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE) # , check=True)
cmd.wait()
print('exit error return code: ', cmd.returncode)
print('exit error2: ', cmd.stderr.read())
print('exit stdout: ', cmd.stdout.read())
cmd = subprocess.Popen(stop_cmd, cwd=cwd, shell=False, stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE) # , check=True)
cmd.wait()
# cmd.stdin.write("stop_record cf.json")
# cmd.wait()
print('stop error return code: ', cmd.returncode)
print('stop error2: ', cmd.stderr.read())
print('stop stdout: ', cmd.stdout.read())
window['train_stop_record_text'].update('Generating Micro-Doppler Signature...')
window.refresh()
microDoppler(fname)
window['-IMAGE-'].update(data=convert_to_bytes(fname[:-4] + '_py.png', resize=spect_size))
# rename to move it to the data folder
now = datetime.now()
date_time = now.strftime("_%Y_%m_%d_%H_%M_%S_")
src = fname[:-4] + '_py.png'
dst = src.replace('data', train_path).replace('raw', values['class_name'] + date_time)
os.rename(src, dst)
files = glob.glob(train_path + '/' + values['class_name'] + '*.png')
window['train_stop_record_text'].update('Done! Num. of files: ' + str(len(files)))
else:
# event = '2. Stop Recording'
window['train_stop_record_text'].update('Stopping... ')
window['train_start_record_text'].update('')
window.refresh()
time.sleep(2)
pid = subprocess.check_output(['pgrep gnome-terminal'], shell=True) # , check=True)
print('pid stdoutstr: ' + str(pid.decode())[:-1] + '-')
cmd = subprocess.Popen(['kill', str(pid.decode())[:-1]], cwd=cwd, shell=False,
stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE) # , check=True)
cmd.wait()
print('exit error return code: ', cmd.returncode)
print('exit error2: ', cmd.stderr.read())
print('exit stdout: ', cmd.stdout.read())
cmd = subprocess.Popen(stop_cmd, cwd=cwd, shell=False, stdin=subprocess.PIPE, text=True,
stdout=subprocess.PIPE, stderr=subprocess.PIPE) # , check=True)
cmd.wait()
# cmd.stdin.write("stop_record cf.json")
# cmd.wait()
print('stop error return code: ', cmd.returncode)
print('stop error2: ', cmd.stderr.read())
print('stop stdout: ', cmd.stdout.read())
window['train_stop_record_text'].update('Done! ')
window.refresh()
# elif event == '3. Micro-Doppler Signature':
window['train_stop_record_text'].update('Generating Micro-Doppler Signature...')
# window['stop_text'].update(' ')
window.refresh()
microDoppler(fname)
window['-IMAGE-'].update(data=convert_to_bytes(fname[:-4] + '_py.png', resize=spect_size))
window['train_stop_record_text'].update('Done! ')
window.refresh()
elif event == 'train':
is_split = True # whether train/test split enabled
data = preprocess(train_path, values['class_name'], im_size, is_split)
model, history = CNN_train(data, is_split, 3, 0.001, 1, 50,
new_model_name)
elif event == 'pred_new':
if values['testing_check'] and not values['teaching_check']:
# window['pred_text'].update(' ')
window['pred_new_text'].update('Predicting...')
window.refresh()
pred = prediction(new_model_name, pred_filename, im_size)
maybe = pred[0][0] * 100
you = pred[0][1] * 100
custom_class = pred[0][2] * 100
# add offset for visualization purposes
offset = 3
if maybe > you and maybe > custom_class:
you += offset
custom_class += offset
you_offset = offset
custom_class_offset = offset
maybe_offset = 0
elif you > maybe and you > custom_class:
maybe += offset
custom_class += offset
you_offset = 0
maybe_offset = offset
custom_class_offset = offset
elif custom_class > you and custom_class > maybe:
maybe += offset
you += offset
custom_class_offset = 0
maybe_offset = offset
you_offset = offset
graph.erase()
graph.draw_rectangle(top_left=(0 * BAR_SPACING + EDGE_OFFSET, maybe),
bottom_right=(0 * BAR_SPACING + EDGE_OFFSET + BAR_WIDTH, 0), fill_color=bcols[0])
graph.draw_text(text='MAYBE --> ' + str(round(maybe - maybe_offset, 2)) + '%',
location=(0 * BAR_SPACING + EDGE_OFFSET + 70, maybe + 10), color=bcols[0], font=myfont)
graph.draw_rectangle(top_left=(1 * BAR_SPACING + EDGE_OFFSET, you),
bottom_right=(1 * BAR_SPACING + EDGE_OFFSET + BAR_WIDTH, 0), fill_color=bcols[1])
graph.draw_text(text='YOU --> ' + str(round(you - you_offset, 2)) + '%',
location=(1 * BAR_SPACING + EDGE_OFFSET + 70, you + 10), color=bcols[1], font=myfont)
graph.draw_rectangle(top_left=(2 * BAR_SPACING + EDGE_OFFSET, custom_class),
bottom_right=(2 * BAR_SPACING + EDGE_OFFSET + BAR_WIDTH, 0), fill_color=bcols[2])
graph.draw_text(text=values['class_name'].upper() + ' --> ' + str(round(custom_class - custom_class_offset, 2)) + '%',
location=(2 * BAR_SPACING + EDGE_OFFSET + 80, custom_class + 10), color=bcols[2], font=myfont)
window.refresh()
window['pred_new_text'].update('Predicted!')
else:
window['pred_new_text'].update('Please check Testing and\nuncheck Teaching to make a prediction')
window.Close()