Skip to content

Nervotec_GUI

Nervotec GUI

CameraWorker

Bases: QObject

A worker class to handle camera operations in a separate thread.

Parameters:

Name Type Description Default
cam_id int

The camera ID to capture video from.

 required
Signals

changePixmap: Signal emitted when a new frame is captured.

Attributes:

Name Type Description
camera_id int

The camera ID to capture video from.
running bool

Flag indicating whether the worker is running.
Source code in redesign_pipeline/nervotec_gui.py 
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
class CameraWorker(QObject):
    """
    A worker class to handle camera operations in a separate thread.

    Args:
        cam_id (int): The camera ID to capture video from.

    Signals:
        changePixmap: Signal emitted when a new frame is captured.

    Attributes:
        camera_id (int): The camera ID to capture video from.
        running (bool): Flag indicating whether the worker is running.

    """

    changePixmap = pyqtSignal(QImage)
    def __init__(self, cam_id):
        super(CameraWorker, self).__init__()
        self.camera_id = cam_id
        self.running = True

    def run(self):
        """
        The main method that captures frames from the camera and emits the changePixmap signal.

        """
        if platform.system() == "Linux":
            cap = cv2.VideoCapture(self.camera_id)
        else:
            cap = cv2.VideoCapture(self.camera_id,cv2.CAP_DSHOW)

        while self.running:
            ret, frame = cap.read()
            if ret:
                rgbImage = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
                h, w, ch = rgbImage.shape
                bytesPerLine = ch * w
                convertToQtFormat = QImage(rgbImage.data, w, h, bytesPerLine, QImage.Format_RGB888)
                p = convertToQtFormat.scaled(256, 144, Qt.KeepAspectRatio)
                self.changePixmap.emit(p)

    def stop(self):
        """
        Stop the worker by setting the running flag to False.

        """
        self.running = False

run()

The main method that captures frames from the camera and emits the changePixmap signal.

Source code in redesign_pipeline/nervotec_gui.py 
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
def run(self):
    """
    The main method that captures frames from the camera and emits the changePixmap signal.

    """
    if platform.system() == "Linux":
        cap = cv2.VideoCapture(self.camera_id)
    else:
        cap = cv2.VideoCapture(self.camera_id,cv2.CAP_DSHOW)

    while self.running:
        ret, frame = cap.read()
        if ret:
            rgbImage = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
            h, w, ch = rgbImage.shape
            bytesPerLine = ch * w
            convertToQtFormat = QImage(rgbImage.data, w, h, bytesPerLine, QImage.Format_RGB888)
            p = convertToQtFormat.scaled(256, 144, Qt.KeepAspectRatio)
            self.changePixmap.emit(p)

stop()

Stop the worker by setting the running flag to False.

Source code in redesign_pipeline/nervotec_gui.py 
56
57
58
59
60
61
def stop(self):
    """
    Stop the worker by setting the running flag to False.

    """
    self.running = False

StartPage

Bases: QMainWindow

The main application window class.

Source code in redesign_pipeline/nervotec_gui.py 
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
class StartPage(QMainWindow):
    """
    The main application window class.

    """

    def __init__(self):
        super().__init__()
        self.title = 'NervoScan'
        self.left = 500
        self.top = 240
        self.width = 640
        self.height = 445
        self.setFixedSize(640,445)
        self.faceDetectionMethods = ['BlazefaceFacemesh']
        self.faceLandmarkMethods = {'BlazefaceFacemesh': ['468_landmarks']}

        self.skinSegmentationMethods = {'BlazefaceFacemesh': ['HSVandYCrCbSkinSegmentation','ConvexHullSkinSegmentation']}
        self.initUI()

    def browseFiles(self):
        """
        Open a file dialog to browse for video files.

        """ 
        os.makedirs('results/', exist_ok=True)
        fname = QFileDialog.getExistingDirectory(self, "Select a folder with Videos", 'results/')
        self.videoPath.setText(fname)

    def setImage(self, image):
        """
        Set the image on the camera view QLabel.

        Args:
            image (QImage): The image to be displayed.

        """
        self.cameraView.setPixmap(QPixmap.fromImage(image))

    def stop_thread(self):
        """
        Stop the camera thread and clear the camera view QLabel.

        """
        if hasattr(self, 'camera_worker'):
            self.camera_worker.stop()
        if hasattr(self, 'camera_thread'):
            self.camera_thread.quit()
            self.camera_thread.wait()
        self.cameraView.clear()

    def testCamera(self):
        """Test the selected camera."""
        camera_id = int(self.selectCam.currentText())

        self.stop_thread()

        self.camera_thread = QThread()

        self.camera_worker = CameraWorker(camera_id)
        self.camera_worker.moveToThread(self.camera_thread)
        self.camera_worker.changePixmap.connect(self.setImage)
        self.camera_thread.started.connect(self.camera_worker.run)

        self.camera_thread.start()

    def availableCameras(self):
        """Identify connected cameras and return the list of available camera ports."""

        non_working_ports = []
        dev_port = 0
        working_ports = []

        print('Identifying connected cameras ...')

        while len(non_working_ports) < 1: # if there are more than 1 non working ports stop the testing. 
            if platform.system() == "Linux":
                camera = cv2.VideoCapture(dev_port)
            else:
                camera = cv2.VideoCapture(dev_port,cv2.CAP_DSHOW)

            if not camera.isOpened():
                non_working_ports.append(dev_port)
            else:
                is_reading, img = camera.read()
                w = camera.get(3)
                h = camera.get(4)
                if is_reading:
                    working_ports.append(str(dev_port))
                camera.release()
            dev_port +=1
        return working_ports

    def checkSource(self):
        """Handle the selection of the data source radio buttons."""
        if self.radioVideo.isChecked():

            self.videoPathL.setVisible(True)
            self.videoPath.setVisible(True)
            self.browse.setVisible(True)

            self.retroPathL.setVisible(False)
            self.retroPath.setVisible(False)
            self.hdSelect.setVisible(False)

            self.scanDuration.setDisabled(True)
            self.startButton.setDisabled(False)
            self.recordVideos.setDisabled(True)

            self.selectCam.setVisible(False)
            self.selectCamL.setVisible(False)
            self.testCams.setVisible(False)
            self.cameraView.setVisible(False)
            self.stop_thread()

        elif self.radioPGM.isChecked():

            self.videoPathL.setVisible(True)
            self.videoPath.setVisible(True)
            self.browse.setVisible(True)
            self.hdSelect.setVisible(False)

            self.retroPathL.setVisible(False)
            self.retroPath.setVisible(False)
            self.scanDuration.setDisabled(True)
            self.startButton.setDisabled(False)
            self.recordVideos.setDisabled(True)

            self.selectCam.setVisible(False)
            self.selectCamL.setVisible(False)
            self.testCams.setVisible(False)
            self.cameraView.setVisible(False)
            self.stop_thread()

        elif self.radioRetro.isChecked():

            self.videoPathL.setVisible(False)
            self.videoPath.setVisible(False)
            self.browse.setVisible(False)
            self.hdSelect.setVisible(False)
            self.selectCam.setVisible(False)
            self.selectCamL.setVisible(False)
            self.testCams.setVisible(False)
            self.cameraView.setVisible(False)
            self.stop_thread()

            self.retroPathL.setVisible(True)
            self.retroPath.setVisible(True)
            self.scanDuration.setDisabled(True)
            os.makedirs('results/', exist_ok=True)
            scans = [os.path.join('results', f, 'videos') for f in os.listdir('results/') if
                     (os.path.isdir(os.path.join('results', f)) and f[:3] == 'cam')]
            for i in scans:
                if not os.path.exists(i):
                    scans.remove(i)
                elif len(os.listdir(i)) == 0:
                    scans.remove(i)
            if len(scans) == 0:
                self.retroPath.clear()
                self.retroPath.addItem('No scans available. Use camera mode')
                # self.retroPath.setCurrentIndex(0)
                self.retroPath.setDisabled(True)
                self.startButton.setDisabled(True)
            else:
                self.retroPath.clear()
                self.retroPath.addItems(scans)
                self.retroPath.setDisabled(False)
                self.startButton.setDisabled(False)
            self.recordVideos.setDisabled(True)

        elif self.radioCamera.isChecked():

            self.videoPathL.setVisible(False)
            self.videoPath.setVisible(False)
            self.browse.setVisible(False)

            self.hdSelect.setVisible(True)
            self.selectCam.setVisible(True)
            self.selectCamL.setVisible(True)

            self.testCams.setVisible(True)
            self.cameraView.clear()
            self.cameraView.setVisible(True)

            self.retroPathL.setVisible(False)
            self.retroPath.setVisible(False)
            self.scanDuration.setDisabled(False)
            self.startButton.setDisabled(False)
            self.recordVideos.setDisabled(False)

    def selectFaceDetection(self):
        """Handle the selection of the face detection method."""

        self.faceLandmark.clear()
        self.faceLandmark.addItems(self.faceLandmarkMethods[self.faceDetection.currentText()])
        self.skinSegmentation.clear()
        self.skinSegmentation.addItems(self.skinSegmentationMethods[self.faceDetection.currentText()])        

    def selectSkinSegmentation(self):
        """Handle the selection of skin segmentation."""

        if self.skinSegmentCheck.isChecked():
            self.skinSegmentation.setEnabled(True)
        else:
            self.skinSegmentation.setEnabled(False)


    def initUI(self):
        """Initialize the user interface."""

        self.setWindowTitle(self.title)
        self.setGeometry(self.left, self.top, self.width, self.height)

        ##############################################################
        # Title

        title = QLabel('NervoScan', self)
        myFont = QFont('Arial', 15)
        myFont.setBold(True)
        title.setFont(myFont)
        title.resize(600, 50)
        title.move(60, 10)

        ##############################################################
        # Select Source

        sourceLabel = QLabel('Source:', self)
        sourceLabel.move(60, 65)

        self.radioCamera = QRadioButton("Camera", self)
        self.radioCamera.setChecked(True)
        self.radioCamera.move(115, 65)
        self.radioCamera.clicked.connect(self.checkSource)

        self.radioVideo = QRadioButton("Video", self)
        self.radioVideo.resize(150, 30)
        self.radioVideo.move(190, 65)
        self.radioVideo.clicked.connect(self.checkSource)

        self.radioRetro = QRadioButton("Retrospective", self)
        self.radioRetro.resize(150, 30)
        self.radioRetro.move(255, 65)
        self.radioRetro.clicked.connect(self.checkSource)

        self.radioPGM = QRadioButton("PGM files", self)
        self.radioPGM.resize(150, 30)
        self.radioPGM.move(365, 65)
        self.radioPGM.clicked.connect(self.checkSource)

        ##############################################################

        self.videoPathL = QLabel('Video path:', self)
        self.videoPathL.move(60, 105)
        self.videoPathL.setVisible(False)

        self.videoPath = QLineEdit(self)
        self.videoPath.move(140, 105)
        self.videoPath.resize(300, 30)
        self.videoPath.setVisible(False)

        self.browse = QPushButton('Browse', self)
        self.browse.setToolTip('Browse folder with video files')
        self.browse.move(450, 105)
        self.browse.clicked.connect(self.browseFiles)
        self.browse.setVisible(False)

        self.retroPathL = QLabel('Available Scans:', self)
        self.retroPathL.move(60, 105)
        self.retroPathL.resize(200, 30)
        self.retroPathL.setVisible(False)

        self.retroPath = QComboBox(self)
        self.retroPath.move(170, 105)
        self.retroPath.resize(400, 30)
        self.retroPath.setVisible(False)

        self.selectCamL = QLabel('Available Cameras:', self)
        self.selectCamL.move(60, 105)
        self.selectCamL.resize(200, 30)
        self.selectCamL.setVisible(True)

        self.selectCam = QComboBox(self)
        self.selectCam.move(172, 105)
        self.selectCam.resize(50, 30)
        self.selectCam.setVisible(True)

        self.selectCam.clear()
        self.selectCam.addItems(self.availableCameras())

        self.testCams = QPushButton('Test', self)
        self.testCams.move(230, 105)
        self.testCams.clicked.connect(self.testCamera)
        self.testCams.setVisible(True)

        self.cameraView = QLabel(self)
        self.cameraView.move(400, 105)
        self.cameraView.resize(256, 144)

        self.hdSelect = QCheckBox("HD", self)
        self.hdSelect.resize(150, 30)
        self.hdSelect.move(340, 105)

        ##############################################################
        # Scan Duration

        self.scanDurationL = QLabel('Scan Duration:                     secs', self)
        self.scanDurationL.move(60, 145)
        self.scanDurationL.resize(400, 30)

        self.scanDuration = QLineEdit(self)
        self.scanDuration.move(172, 145)
        self.scanDuration.resize(50, 30)
        self.scanDuration.setText('60')
        self.scanDuration.setValidator(QIntValidator())

        ##############################################################
        # Gamma Correction

        self.gammaL = QLabel('Gamma:', self)
        self.gammaL.move(60, 185)
        self.gammaL.resize(400, 30)

        self.gamma = QLineEdit(self)
        self.gamma.move(172, 185)
        self.gamma.resize(50, 30)
        self.gamma.setText('1.0')
        self.gamma.setValidator(QDoubleValidator())

        ##############################################################
        # Face Detection method

        self.faceDetectionL = QLabel('Face Detection:', self)
        self.faceDetectionL.move(60, 225)

        self.faceDetection = QComboBox(self)
        self.faceDetection.addItems(self.faceDetectionMethods)
        self.faceDetection.move(172, 225)
        self.faceDetection.resize(200, 30)
        self.faceDetection.currentIndexChanged.connect(self.selectFaceDetection)

        ##############################################################
        # Face Landmark method

        self.faceLandmarkL = QLabel('Face Landmark:', self)
        self.faceLandmarkL.move(60, 265)

        self.faceLandmark = QComboBox(self)
        self.faceLandmark.move(172, 265)
        self.faceLandmark.resize(200, 30)
        self.faceLandmark.addItems(self.faceLandmarkMethods[self.faceDetection.currentText()])

        ##############################################################
        # Skin segmentation

        self.skinSegmentCheck = QCheckBox("Skin Segmentation - ", self)
        self.skinSegmentCheck.move(60, 305)
        self.skinSegmentCheck.resize(200, 30)
        self.skinSegmentCheck.setChecked(False)
        self.skinSegmentCheck.stateChanged.connect(self.selectSkinSegmentation)

        self.skinSegmentation = QComboBox(self)
        self.skinSegmentation.move(200, 305)
        self.skinSegmentation.resize(200, 30)
        self.skinSegmentation.addItems(self.skinSegmentationMethods[self.faceDetection.currentText()])
        self.skinSegmentation.setDisabled(True)

        ##############################################################
        # Pixel Outliers

        self.pixelOutliers = QCheckBox("Remove extreme pixels", self)
        self.pixelOutliers.move(60, 350)
        self.pixelOutliers.resize(200, 30)
        self.pixelOutliers.setChecked(False)

       ##############################################################
        # Motion Tracking

        self.motionTracking = QCheckBox("Motion Tracking", self)
        self.motionTracking.move(230, 350)
        self.motionTracking.resize(200, 30)
        self.motionTracking.setChecked(True)

        ##############################################################
        # Record Videos

        self.recordVideos = QCheckBox("Record Videos", self)
        self.recordVideos.move(60, 375)
        self.recordVideos.resize(200, 30)
        self.recordVideos.setChecked(True)

        ##############################################################
        # Ground Truth

        self.groundTruth = QCheckBox("Ground Truth", self)
        self.groundTruth.move(230, 375)
        self.groundTruth.resize(200, 30)
        self.groundTruth.setChecked(True)

        ##############################################################
        # Eulerian Multiplication

        self.eulerianMultiplication = QCheckBox("Eulerian Multiplication", self)
        self.eulerianMultiplication.move(60, 400)
        self.eulerianMultiplication.resize(200, 30)
        self.eulerianMultiplication.setChecked(False)
        self.eulerianMultiplication.setDisabled(True)

        self.startButton = QPushButton('Scan', self)
        self.startButton.move(480, 380)
        self.startButton.clicked.connect(self.start_scan)


        self.show()

    @pyqtSlot()
    def start_scan(self):
        """Start the scan process based on the selected options."""

        self.stop_thread()
        self.cameraView.setVisible(False)
        gamma_value = float(self.gamma.text())
        face_detect_method = self.faceDetection.currentText()

        if self.skinSegmentCheck.isChecked():
            skin_segmentation_method = self.skinSegmentation.currentText()
        else:
            skin_segmentation_method = None

        ############################################################################

        print('\n############### New Scan ###############\n')

        if self.radioCamera.isChecked():

            input_path = 'cam'
            scan_time = int(self.scanDuration.text())
            record_videos = self.recordVideos.isChecked()
            print('Record video', record_videos)

            print('Camera mode')
            print('Scan duration is set to', scan_time)
            nervotec_compute("1234",input_path + ':' + self.selectCam.currentText()+':'+str(int(self.hdSelect.isChecked())), 'scan', record_videos, scan_time,
                             self.motionTracking.isChecked(), skin_segmentation_method, self.groundTruth.isChecked(), self.pixelOutliers.isChecked(),
                             gamma_value=gamma_value)

        elif self.radioPGM.isChecked():
            record_videos = False
            input_path = self.videoPath.text()
            scan_time = -1

            nervotec_compute("1234",input_path, 'pgm', record_videos, scan_time,
                                self.motionTracking.isChecked(), skin_segmentation_method, self.groundTruth.isChecked(), self.pixelOutliers.isChecked(),
                                gamma_value=gamma_value)

        else:

            if self.radioRetro.isChecked(): 
                print('Retro mode')
                input_path = self.retroPath.currentText()
            elif self.radioVideo:
                input_path = self.videoPath.text()

            scan_time = -1
            print('Videos folder', input_path)
            record_videos = False

            onlyfiles = [f for f in os.listdir(input_path) if (os.path.isfile(os.path.join(input_path, f)) and (
                        os.path.join(input_path, f).split('.')[-1] == 'avi' or os.path.join(input_path, f).split('.')[-1] == 'mp4'))]
            print(len(onlyfiles), 'files found in the folder')

            for i, video_file in enumerate(onlyfiles):

                print('input_path ',input_path,
                '\nvideo_file',video_file,
                '\nrecord_videos',record_videos,
                '\nscan_time',scan_time,
                '\nself.motionTracking.isChecked()',self.motionTracking.isChecked(),
                '\nskin_segmentation_method',skin_segmentation_method,
                '\nself.groundTruth.isChecked()',self.groundTruth.isChecked(),
                '\nself.pixelOutliers.isChecked()',self.pixelOutliers.isChecked(),'gamma_value',gamma_value)

                print(f'Video {i + 1} of {len(onlyfiles)} : ', video_file)
                nervotec_compute("1234", os.path.join(input_path, video_file), 'video', record_videos, scan_time,
                                 self.motionTracking.isChecked(), skin_segmentation_method, self.groundTruth.isChecked(), self.pixelOutliers.isChecked(),
                                 gamma_value=gamma_value)

availableCameras()

Identify connected cameras and return the list of available camera ports.

Source code in redesign_pipeline/nervotec_gui.py 
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
def availableCameras(self):
    """Identify connected cameras and return the list of available camera ports."""

    non_working_ports = []
    dev_port = 0
    working_ports = []

    print('Identifying connected cameras ...')

    while len(non_working_ports) < 1: # if there are more than 1 non working ports stop the testing. 
        if platform.system() == "Linux":
            camera = cv2.VideoCapture(dev_port)
        else:
            camera = cv2.VideoCapture(dev_port,cv2.CAP_DSHOW)

        if not camera.isOpened():
            non_working_ports.append(dev_port)
        else:
            is_reading, img = camera.read()
            w = camera.get(3)
            h = camera.get(4)
            if is_reading:
                working_ports.append(str(dev_port))
            camera.release()
        dev_port +=1
    return working_ports

browseFiles()

Open a file dialog to browse for video files.

Source code in redesign_pipeline/nervotec_gui.py 
84
85
86
87
88
89
90
91
def browseFiles(self):
    """
    Open a file dialog to browse for video files.

    """ 
    os.makedirs('results/', exist_ok=True)
    fname = QFileDialog.getExistingDirectory(self, "Select a folder with Videos", 'results/')
    self.videoPath.setText(fname)

checkSource()

Handle the selection of the data source radio buttons.

Source code in redesign_pipeline/nervotec_gui.py 
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
def checkSource(self):
    """Handle the selection of the data source radio buttons."""
    if self.radioVideo.isChecked():

        self.videoPathL.setVisible(True)
        self.videoPath.setVisible(True)
        self.browse.setVisible(True)

        self.retroPathL.setVisible(False)
        self.retroPath.setVisible(False)
        self.hdSelect.setVisible(False)

        self.scanDuration.setDisabled(True)
        self.startButton.setDisabled(False)
        self.recordVideos.setDisabled(True)

        self.selectCam.setVisible(False)
        self.selectCamL.setVisible(False)
        self.testCams.setVisible(False)
        self.cameraView.setVisible(False)
        self.stop_thread()

    elif self.radioPGM.isChecked():

        self.videoPathL.setVisible(True)
        self.videoPath.setVisible(True)
        self.browse.setVisible(True)
        self.hdSelect.setVisible(False)

        self.retroPathL.setVisible(False)
        self.retroPath.setVisible(False)
        self.scanDuration.setDisabled(True)
        self.startButton.setDisabled(False)
        self.recordVideos.setDisabled(True)

        self.selectCam.setVisible(False)
        self.selectCamL.setVisible(False)
        self.testCams.setVisible(False)
        self.cameraView.setVisible(False)
        self.stop_thread()

    elif self.radioRetro.isChecked():

        self.videoPathL.setVisible(False)
        self.videoPath.setVisible(False)
        self.browse.setVisible(False)
        self.hdSelect.setVisible(False)
        self.selectCam.setVisible(False)
        self.selectCamL.setVisible(False)
        self.testCams.setVisible(False)
        self.cameraView.setVisible(False)
        self.stop_thread()

        self.retroPathL.setVisible(True)
        self.retroPath.setVisible(True)
        self.scanDuration.setDisabled(True)
        os.makedirs('results/', exist_ok=True)
        scans = [os.path.join('results', f, 'videos') for f in os.listdir('results/') if
                 (os.path.isdir(os.path.join('results', f)) and f[:3] == 'cam')]
        for i in scans:
            if not os.path.exists(i):
                scans.remove(i)
            elif len(os.listdir(i)) == 0:
                scans.remove(i)
        if len(scans) == 0:
            self.retroPath.clear()
            self.retroPath.addItem('No scans available. Use camera mode')
            # self.retroPath.setCurrentIndex(0)
            self.retroPath.setDisabled(True)
            self.startButton.setDisabled(True)
        else:
            self.retroPath.clear()
            self.retroPath.addItems(scans)
            self.retroPath.setDisabled(False)
            self.startButton.setDisabled(False)
        self.recordVideos.setDisabled(True)

    elif self.radioCamera.isChecked():

        self.videoPathL.setVisible(False)
        self.videoPath.setVisible(False)
        self.browse.setVisible(False)

        self.hdSelect.setVisible(True)
        self.selectCam.setVisible(True)
        self.selectCamL.setVisible(True)

        self.testCams.setVisible(True)
        self.cameraView.clear()
        self.cameraView.setVisible(True)

        self.retroPathL.setVisible(False)
        self.retroPath.setVisible(False)
        self.scanDuration.setDisabled(False)
        self.startButton.setDisabled(False)
        self.recordVideos.setDisabled(False)

initUI()

Initialize the user interface.

Source code in redesign_pipeline/nervotec_gui.py 
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
def initUI(self):
    """Initialize the user interface."""

    self.setWindowTitle(self.title)
    self.setGeometry(self.left, self.top, self.width, self.height)

    ##############################################################
    # Title

    title = QLabel('NervoScan', self)
    myFont = QFont('Arial', 15)
    myFont.setBold(True)
    title.setFont(myFont)
    title.resize(600, 50)
    title.move(60, 10)

    ##############################################################
    # Select Source

    sourceLabel = QLabel('Source:', self)
    sourceLabel.move(60, 65)

    self.radioCamera = QRadioButton("Camera", self)
    self.radioCamera.setChecked(True)
    self.radioCamera.move(115, 65)
    self.radioCamera.clicked.connect(self.checkSource)

    self.radioVideo = QRadioButton("Video", self)
    self.radioVideo.resize(150, 30)
    self.radioVideo.move(190, 65)
    self.radioVideo.clicked.connect(self.checkSource)

    self.radioRetro = QRadioButton("Retrospective", self)
    self.radioRetro.resize(150, 30)
    self.radioRetro.move(255, 65)
    self.radioRetro.clicked.connect(self.checkSource)

    self.radioPGM = QRadioButton("PGM files", self)
    self.radioPGM.resize(150, 30)
    self.radioPGM.move(365, 65)
    self.radioPGM.clicked.connect(self.checkSource)

    ##############################################################

    self.videoPathL = QLabel('Video path:', self)
    self.videoPathL.move(60, 105)
    self.videoPathL.setVisible(False)

    self.videoPath = QLineEdit(self)
    self.videoPath.move(140, 105)
    self.videoPath.resize(300, 30)
    self.videoPath.setVisible(False)

    self.browse = QPushButton('Browse', self)
    self.browse.setToolTip('Browse folder with video files')
    self.browse.move(450, 105)
    self.browse.clicked.connect(self.browseFiles)
    self.browse.setVisible(False)

    self.retroPathL = QLabel('Available Scans:', self)
    self.retroPathL.move(60, 105)
    self.retroPathL.resize(200, 30)
    self.retroPathL.setVisible(False)

    self.retroPath = QComboBox(self)
    self.retroPath.move(170, 105)
    self.retroPath.resize(400, 30)
    self.retroPath.setVisible(False)

    self.selectCamL = QLabel('Available Cameras:', self)
    self.selectCamL.move(60, 105)
    self.selectCamL.resize(200, 30)
    self.selectCamL.setVisible(True)

    self.selectCam = QComboBox(self)
    self.selectCam.move(172, 105)
    self.selectCam.resize(50, 30)
    self.selectCam.setVisible(True)

    self.selectCam.clear()
    self.selectCam.addItems(self.availableCameras())

    self.testCams = QPushButton('Test', self)
    self.testCams.move(230, 105)
    self.testCams.clicked.connect(self.testCamera)
    self.testCams.setVisible(True)

    self.cameraView = QLabel(self)
    self.cameraView.move(400, 105)
    self.cameraView.resize(256, 144)

    self.hdSelect = QCheckBox("HD", self)
    self.hdSelect.resize(150, 30)
    self.hdSelect.move(340, 105)

    ##############################################################
    # Scan Duration

    self.scanDurationL = QLabel('Scan Duration:                     secs', self)
    self.scanDurationL.move(60, 145)
    self.scanDurationL.resize(400, 30)

    self.scanDuration = QLineEdit(self)
    self.scanDuration.move(172, 145)
    self.scanDuration.resize(50, 30)
    self.scanDuration.setText('60')
    self.scanDuration.setValidator(QIntValidator())

    ##############################################################
    # Gamma Correction

    self.gammaL = QLabel('Gamma:', self)
    self.gammaL.move(60, 185)
    self.gammaL.resize(400, 30)

    self.gamma = QLineEdit(self)
    self.gamma.move(172, 185)
    self.gamma.resize(50, 30)
    self.gamma.setText('1.0')
    self.gamma.setValidator(QDoubleValidator())

    ##############################################################
    # Face Detection method

    self.faceDetectionL = QLabel('Face Detection:', self)
    self.faceDetectionL.move(60, 225)

    self.faceDetection = QComboBox(self)
    self.faceDetection.addItems(self.faceDetectionMethods)
    self.faceDetection.move(172, 225)
    self.faceDetection.resize(200, 30)
    self.faceDetection.currentIndexChanged.connect(self.selectFaceDetection)

    ##############################################################
    # Face Landmark method

    self.faceLandmarkL = QLabel('Face Landmark:', self)
    self.faceLandmarkL.move(60, 265)

    self.faceLandmark = QComboBox(self)
    self.faceLandmark.move(172, 265)
    self.faceLandmark.resize(200, 30)
    self.faceLandmark.addItems(self.faceLandmarkMethods[self.faceDetection.currentText()])

    ##############################################################
    # Skin segmentation

    self.skinSegmentCheck = QCheckBox("Skin Segmentation - ", self)
    self.skinSegmentCheck.move(60, 305)
    self.skinSegmentCheck.resize(200, 30)
    self.skinSegmentCheck.setChecked(False)
    self.skinSegmentCheck.stateChanged.connect(self.selectSkinSegmentation)

    self.skinSegmentation = QComboBox(self)
    self.skinSegmentation.move(200, 305)
    self.skinSegmentation.resize(200, 30)
    self.skinSegmentation.addItems(self.skinSegmentationMethods[self.faceDetection.currentText()])
    self.skinSegmentation.setDisabled(True)

    ##############################################################
    # Pixel Outliers

    self.pixelOutliers = QCheckBox("Remove extreme pixels", self)
    self.pixelOutliers.move(60, 350)
    self.pixelOutliers.resize(200, 30)
    self.pixelOutliers.setChecked(False)

   ##############################################################
    # Motion Tracking

    self.motionTracking = QCheckBox("Motion Tracking", self)
    self.motionTracking.move(230, 350)
    self.motionTracking.resize(200, 30)
    self.motionTracking.setChecked(True)

    ##############################################################
    # Record Videos

    self.recordVideos = QCheckBox("Record Videos", self)
    self.recordVideos.move(60, 375)
    self.recordVideos.resize(200, 30)
    self.recordVideos.setChecked(True)

    ##############################################################
    # Ground Truth

    self.groundTruth = QCheckBox("Ground Truth", self)
    self.groundTruth.move(230, 375)
    self.groundTruth.resize(200, 30)
    self.groundTruth.setChecked(True)

    ##############################################################
    # Eulerian Multiplication

    self.eulerianMultiplication = QCheckBox("Eulerian Multiplication", self)
    self.eulerianMultiplication.move(60, 400)
    self.eulerianMultiplication.resize(200, 30)
    self.eulerianMultiplication.setChecked(False)
    self.eulerianMultiplication.setDisabled(True)

    self.startButton = QPushButton('Scan', self)
    self.startButton.move(480, 380)
    self.startButton.clicked.connect(self.start_scan)


    self.show()

selectFaceDetection()

Handle the selection of the face detection method.

Source code in redesign_pipeline/nervotec_gui.py 
254
255
256
257
258
259
260
def selectFaceDetection(self):
    """Handle the selection of the face detection method."""

    self.faceLandmark.clear()
    self.faceLandmark.addItems(self.faceLandmarkMethods[self.faceDetection.currentText()])
    self.skinSegmentation.clear()
    self.skinSegmentation.addItems(self.skinSegmentationMethods[self.faceDetection.currentText()])

selectSkinSegmentation()

Handle the selection of skin segmentation.

Source code in redesign_pipeline/nervotec_gui.py 
262
263
264
265
266
267
268
def selectSkinSegmentation(self):
    """Handle the selection of skin segmentation."""

    if self.skinSegmentCheck.isChecked():
        self.skinSegmentation.setEnabled(True)
    else:
        self.skinSegmentation.setEnabled(False)

setImage(image)

Set the image on the camera view QLabel.

Parameters:

Name Type Description Default
image QImage

The image to be displayed.

 required
Source code in redesign_pipeline/nervotec_gui.py 
 93
 94
 95
 96
 97
 98
 99
100
101
def setImage(self, image):
    """
    Set the image on the camera view QLabel.

    Args:
        image (QImage): The image to be displayed.

    """
    self.cameraView.setPixmap(QPixmap.fromImage(image))

start_scan()

Start the scan process based on the selected options.

Source code in redesign_pipeline/nervotec_gui.py 
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
@pyqtSlot()
def start_scan(self):
    """Start the scan process based on the selected options."""

    self.stop_thread()
    self.cameraView.setVisible(False)
    gamma_value = float(self.gamma.text())
    face_detect_method = self.faceDetection.currentText()

    if self.skinSegmentCheck.isChecked():
        skin_segmentation_method = self.skinSegmentation.currentText()
    else:
        skin_segmentation_method = None

    ############################################################################

    print('\n############### New Scan ###############\n')

    if self.radioCamera.isChecked():

        input_path = 'cam'
        scan_time = int(self.scanDuration.text())
        record_videos = self.recordVideos.isChecked()
        print('Record video', record_videos)

        print('Camera mode')
        print('Scan duration is set to', scan_time)
        nervotec_compute("1234",input_path + ':' + self.selectCam.currentText()+':'+str(int(self.hdSelect.isChecked())), 'scan', record_videos, scan_time,
                         self.motionTracking.isChecked(), skin_segmentation_method, self.groundTruth.isChecked(), self.pixelOutliers.isChecked(),
                         gamma_value=gamma_value)

    elif self.radioPGM.isChecked():
        record_videos = False
        input_path = self.videoPath.text()
        scan_time = -1

        nervotec_compute("1234",input_path, 'pgm', record_videos, scan_time,
                            self.motionTracking.isChecked(), skin_segmentation_method, self.groundTruth.isChecked(), self.pixelOutliers.isChecked(),
                            gamma_value=gamma_value)

    else:

        if self.radioRetro.isChecked(): 
            print('Retro mode')
            input_path = self.retroPath.currentText()
        elif self.radioVideo:
            input_path = self.videoPath.text()

        scan_time = -1
        print('Videos folder', input_path)
        record_videos = False

        onlyfiles = [f for f in os.listdir(input_path) if (os.path.isfile(os.path.join(input_path, f)) and (
                    os.path.join(input_path, f).split('.')[-1] == 'avi' or os.path.join(input_path, f).split('.')[-1] == 'mp4'))]
        print(len(onlyfiles), 'files found in the folder')

        for i, video_file in enumerate(onlyfiles):

            print('input_path ',input_path,
            '\nvideo_file',video_file,
            '\nrecord_videos',record_videos,
            '\nscan_time',scan_time,
            '\nself.motionTracking.isChecked()',self.motionTracking.isChecked(),
            '\nskin_segmentation_method',skin_segmentation_method,
            '\nself.groundTruth.isChecked()',self.groundTruth.isChecked(),
            '\nself.pixelOutliers.isChecked()',self.pixelOutliers.isChecked(),'gamma_value',gamma_value)

            print(f'Video {i + 1} of {len(onlyfiles)} : ', video_file)
            nervotec_compute("1234", os.path.join(input_path, video_file), 'video', record_videos, scan_time,
                             self.motionTracking.isChecked(), skin_segmentation_method, self.groundTruth.isChecked(), self.pixelOutliers.isChecked(),
                             gamma_value=gamma_value)

stop_thread()

Stop the camera thread and clear the camera view QLabel.

Source code in redesign_pipeline/nervotec_gui.py 
103
104
105
106
107
108
109
110
111
112
113
def stop_thread(self):
    """
    Stop the camera thread and clear the camera view QLabel.

    """
    if hasattr(self, 'camera_worker'):
        self.camera_worker.stop()
    if hasattr(self, 'camera_thread'):
        self.camera_thread.quit()
        self.camera_thread.wait()
    self.cameraView.clear()

testCamera()

Test the selected camera.

Source code in redesign_pipeline/nervotec_gui.py 
115
116
117
118
119
120
121
122
123
124
125
126
127
128
def testCamera(self):
    """Test the selected camera."""
    camera_id = int(self.selectCam.currentText())

    self.stop_thread()

    self.camera_thread = QThread()

    self.camera_worker = CameraWorker(camera_id)
    self.camera_worker.moveToThread(self.camera_thread)
    self.camera_worker.changePixmap.connect(self.setImage)
    self.camera_thread.started.connect(self.camera_worker.run)

    self.camera_thread.start()

main()

Entry point of the application.

Source code in redesign_pipeline/nervotec_gui.py 
554
555
556
557
558
559
560
def main():
    """Entry point of the application."""
    pyqtRemoveInputHook()
    start = QApplication(sys.argv)
    ex = StartPage()
    ex.show()
    start.exec()