def test_SaveToTemp(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_SaveToTemp
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Lilia_Gate'
pipeline = ShotsPipeline('Foscam', self.log)
pipeline.providers.append(DirectoryShotsProvider(folder))
pipeline.processors.append(DiffContoursProcessor())
pipeline.processors.append(SaveToTempProcessor(True))
pipeline.PreLoad()
shots = pipeline.GetShots()
result = pipeline.Process(shots)
self.assertEqual(result[0].Shot.fullname,
"temp\\20190206_090254_Foscam_cv.jpeg")
self.assertEqual(result[0].OriginalShot.fullname,
"temp\\20190206_090254_Foscam.jpg")
self.assertTrue(os.path.isfile(result[0].Shot.fullname))
self.assertTrue(os.path.isfile(result[0].OriginalShot.fullname))
self.assertEqual(result[1].Shot.fullname,
"temp\\20190206_090255_Foscam_cv.jpeg")
self.assertEqual(result[1].OriginalShot.fullname,
"temp\\20190206_090255_Foscam.jpg")
self.assertEqual(result[2].Shot.fullname,
"temp\\20190206_090256_Foscam_cv.jpeg")
self.assertEqual(result[2].OriginalShot.fullname,
"temp\\20190206_090256_Foscam.jpg")
def test_TrackingProcessor(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_TrackingProcessor
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Sergey_and_Olivia_tracking'
yolo = YoloObjDetectionProcessor()
yolo.PreLoad()
target = TrackingProcessor(isDebug=True)
pipelineShots = DirectoryShotsProvider.FromDir(None, folder)
yolo.Process({'items': pipelineShots})
target.Process({'items': pipelineShots})
meta = pipelineShots[1].Metadata["TRAC"]
pp.pprint(meta, indent=2)
#pipelineShots[0].Shot.Show()
#pipelineShots[1].Shot.Show()
boxesById = {b['id']: b for b in meta['boxes']}
self.assertEqual(15, boxesById['372x122']['angle'])
self.assertEqual(138, boxesById['372x122']['distance'])
self.assertEqual("372x122", boxesById['372x122']['center'])
self.assertEqual(16, boxesById['230x146']['angle'])
self.assertEqual(90, boxesById['230x146']['distance'])
self.assertEqual("230x146", boxesById['230x146']['center'])
meta = pipelineShots[2].Metadata["TRAC"]
pp.pprint(meta, indent=2)
#pipelineShots[2].Shot.Show()
boxesById = {b['id']: b for b in meta['boxes']}
self.assertEqual(10, boxesById["323x129"]['angle'])
self.assertEqual(94, boxesById["323x129"]['distance'])
self.assertEqual("323x129", boxesById["323x129"]['center'])
self.assertEqual(28, boxesById["432x89"]['angle'])
self.assertEqual(68, boxesById["432x89"]['distance'])
self.assertEqual("432x89", boxesById["432x89"]['center'])
def test_YoloObjDetectionProcessor_noObjects(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_YoloObjDetectionProcessor_noObjects
# INIT
folder = '../camera-OpenCV-data/Camera/Foscam/Day_No_Objects'
pipeline = ShotsPipeline('Foscam', self.log)
pipeline.providers.append(DirectoryShotsProvider(folder))
pipeline.processors.append(
TestProcessor({'YOLO': {
'labels': 'person:2 car bird'
}}))
pipeline.processors.append(YoloObjDetectionProcessor())
pipeline.PreLoad()
# TEST
shots = pipeline.GetShots()
shots = pipeline.Process(shots)
# ASSERT
self.assertEqual(5, len(shots))
self.assertEqual(shots[0].Shot.GetDatetime(),
datetime.datetime(2019, 10, 16, 14, 21, 48))
self.assertEqual(shots[1].Shot.GetDatetime(),
datetime.datetime(2019, 10, 16, 14, 21, 50))
self.assertEqual(shots[2].Shot.GetDatetime(),
datetime.datetime(2019, 10, 16, 14, 21, 52))
self.assertEqual(shots[3].Shot.GetDatetime(),
datetime.datetime(2019, 10, 16, 14, 21, 53))
self.assertEqual(shots[4].Shot.GetDatetime(),
datetime.datetime(2019, 10, 16, 14, 21, 58))
self.assertFalse('YOLO' in shots[0].Metadata)
self.assertFalse('YOLO' in shots[1].Metadata)
self.assertFalse('YOLO' in shots[2].Metadata)
def test_DirectoryShotsProvider(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_DirectoryShotsProvider
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Lilia_Gate'
shots = DirectoryShotsProvider.FromDir(None, folder)
self.assertEqual(3, len(shots))
self.assertIsNotNone(shots[0].Shot.filename)
self.assertIsNotNone(shots[0].Shot.fullname)
self.assertIsNotNone(shots[0].Shot.Exist())
def test_ElasticSearchProcessor(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_ElasticSearchProcessor
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Lilia_Gate'
CommonHelper.networkConfig = {}
pipeline = ShotsPipeline('Foscam', self.log)
pipeline.providers.append(DirectoryShotsProvider(folder))
pipeline.processors.append(DiffContoursProcessor())
pipeline.processors.append(ArchiveProcessor(True))
pipeline.processors.append(ElasticSearchProcessor(True))
#pipeline.processors.append(SaveToTempProcessor())
pipeline.PreLoad()
shots = pipeline.GetShots()
result = pipeline.Process(shots)
els = result[0].Metadata["ELSE"]
self.assertIsNotNone(els['JSON'])
#print(els['JSON'])
dictEls = json.loads(els['JSON'])
analyse = dictEls['Analyse']
del dictEls['Analyse']
archive = AppSettings.CAMERA_ARCHIVE_PATH.replace('\\', '/')
expected = {
"@timestamp": "2019-02-06T08:02:54.000Z",
"camera": "Foscam",
"doc": "event",
"ext": "jpg",
"path": archive +
"/CameraArchive/Foscam/2019-02/06/20190206_090254_Foscam.jpg",
"position": {
"detail": "under the roof",
"floor": -1,
"room": "FrontWall"
},
"sensor": {
"device": "Foscam FI9805W",
"display": "Foscam(.) FrontWall",
"id": "FoscamCameraArchiveFI9805W_C4D6553DECE1",
"is_external": True,
"type": "CameraArchive",
"unit": "bytes"
},
"tags": ["synology_cameraarchive", "camera_tools"],
"value": 69623,
"volume": "/volume2"
}
for key in expected:
self.assertEqual(dictEls[key], expected[key])
self.assertAlmostEqual(
analyse['DIFF']['boxes'][0]['profile_proportion'],
1.77,
delta=0.01)
def test_DirectoryShotsProvider_SearchByDate(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_DirectoryShotsProvider_SearchByDate
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Lilia_Gate'
pShots = DirectoryShotsProvider.FromDir(None, folder)
# Create base Shot
for pShot in pShots:
pShot.Metadata['PROV:IMAP'] = {}
pShot.Metadata['PROV:IMAP']['start'] = self.helper.ToTimeStampStr(
pShot.Shot.GetDatetime())
target = DirectoryShotsProvider()
target.config = self.archiver.load_configs('configs', ['Foscam'])[0]
target.config.path_from = 'Foscam\\2019-02'
pShots = target.GetShots(pShots)
# search in C:\Src\camera-OpenCV-data\Camera\Foscam\2019-02\06
self.assertEqual('Snap_20190206-090254-0.jpg', pShots[0].Shot.filename)
self.assertEqual('Snap_20190206-090254-1.jpg', pShots[1].Shot.filename)
self.assertEqual('Snap_20190206-090254-2.jpg', pShots[2].Shot.filename)
self.assertEqual('MDAlarm_20190206-090259.jpg',
pShots[3].Shot.filename)
self.assertEqual('MDAlarm_20190206-090304.jpg',
pShots[4].Shot.filename)
def InitPipeline():
pipeline.providers.clear()
pipeline.processors.clear()
pipeline.providers.append(ImapShotsProvider())
pipeline.providers.append(DirectoryShotsProvider())
pipeline.processors.append(DiffContoursProcessor())
pipeline.processors.append(YoloObjDetectionProcessor())
pipeline.processors.append(TrackingProcessor())
pipeline.processors.append(SaveToTempProcessor())
pipeline.processors.append(MailSenderProcessor())
pipeline.processors.append(
HassioProcessor('temp' if isSimulation else None))
pipeline.processors.append(ArchiveProcessor(isSimulation))
pipeline.processors.append(ElasticSearchProcessor(isSimulation))
pipeline.PreLoad()
def test_TrackingProcessor_Day_3Person_2person_same_color(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_TrackingProcessor_Day_3Person_2person_same_color
folder = '../camera-OpenCV-data/Camera/Foscam/Day_3Person_2person_same_color'
yolo = YoloObjDetectionProcessor()
yolo.PreLoad()
target = TrackingProcessor(isDebug=True)
pipelineShots = DirectoryShotsProvider.FromDir(None, folder)
yolo.Process({'items': pipelineShots})
target.Process({'items': pipelineShots})
# pipelineShots[0].Shot.Show()
metadata0 = pipelineShots[0].Metadata["TRAC"]['boxes']
pp.pprint(metadata0, indent=2)
self.assertListEqual([{
'id': '293x148',
'object_id': 1
}, {
'id': '350x151',
'object_id': 2
}, {
'id': '379x103',
'object_id': 3
}], metadata0)
#pipelineShots[1].Shot.Show()
metadata1 = pipelineShots[1].Metadata["TRAC"]['boxes']
pp.pprint(metadata1, indent=2)
self.assertListEqual([{
'id': '290x153',
'angle': -178,
'center': '290x153',
'distance': 60,
'object_id': 2
}, {
'id': '349x101',
'angle': 176,
'center': '349x101',
'distance': 30,
'object_id': 3
}, {
'id': '218x168',
'angle': -165,
'center': '218x168',
'distance': 77,
'object_id': 1
}], metadata1)
#pipelineShots[2].Shot.Show()
metadata2 = pipelineShots[2].Metadata["TRAC"]
pp.pprint(metadata2, indent=2)
def test_YoloObjDetectionProcessor(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_YoloObjDetectionProcessor
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Lilia_Gate'
target = YoloObjDetectionProcessor()
target.PreLoad()
shots = DirectoryShotsProvider.FromDir(None, folder)
target.Process({'items': shots})
metadata0 = shots[0].Metadata['YOLO']
metadata1 = shots[1].Metadata['YOLO']
metadata2 = shots[2].Metadata['YOLO']
pp.pprint(metadata0, indent=2)
self.assertEqual(len(metadata0['areas']), 1)
self.assertEqual(len(metadata1['areas']), 1)
self.assertEqual(len(metadata2['areas']), 1)
self.assertEqual(metadata0['areas'][0]['label'], 'person')
self.assertEqual(metadata1['areas'][0]['label'], 'person')
self.assertEqual(metadata2['areas'][0]['label'], 'person')
self.assertEqual(metadata0['labels'], 'person')
self.assertEqual(metadata1['labels'], 'person')
self.assertEqual(metadata2['labels'], 'person')
def test_DiffContoursProcessor(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_DiffContoursProcessor
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Lilia_Gate'
target = DiffContoursProcessor()
pipelineShots = DirectoryShotsProvider.FromDir(None, folder)
target.Process({'items': pipelineShots})
# pp.pprint(pipelineShots[0].Metadata, indent=2)
# pp.pprint(pipelineShots[1].Metadata, indent=2)
# pp.pprint(pipelineShots[2].Metadata, indent=2)
# result[0].Shot.Show()
# result[1].Shot.Show()
# result[2].Shot.Show()
metadata = pipelineShots[0].Metadata['DIFF']
self.assertGreater(metadata['Diff']['TotalArea'], 5000)
self.assertLess(metadata['Diff']['TotalArea'], 6000)
self.assertEqual(metadata['Diff']['Count'], 3)
self.assertEqual(len(metadata['boxes']), 3)
self.assertGreater(metadata['boxes'][0]['area'], 5000)
self.assertLess(metadata['boxes'][0]['area'], 6000)
def test_ArchiveProcessor(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_ArchiveProcessor
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Lilia_Gate'
pipeline = ShotsPipeline('Foscam', self.log)
pipeline.providers.append(DirectoryShotsProvider(folder))
pipeline.processors.append(ArchiveProcessor(True))
pipeline.PreLoad()
shots = pipeline.GetShots()
result = pipeline.Process(shots)
archMD = result[0].Metadata['ARCH']
self.assertEqual(
archMD['archive_destination'], AppSettings.CAMERA_ARCHIVE_PATH +
'\\CameraArchive\\Foscam\\2019-02\\06\\20190206_090254_Foscam_cv.jpeg'
)
self.assertEqual(
archMD['archive_destination_orig'],
AppSettings.CAMERA_ARCHIVE_PATH +
'\\CameraArchive\\Foscam\\2019-02\\06\\20190206_090254_Foscam.jpg')
def test_TrackingProcessor2(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_TrackingProcessor2
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Lilia_Gate'
pipeline = ShotsPipeline('Foscam', self.log)
pipeline.providers.append(DirectoryShotsProvider(folder))
pipeline.processors.append(YoloObjDetectionProcessor())
pipeline.processors.append(TrackingProcessor(isDebug=True))
pipeline.PreLoad()
shots = pipeline.GetShots()
result = pipeline.Process(shots)
meta = result[1].Metadata["TRAC"]
pp.pprint(meta, indent=2)
#result[1].Shot.Show()
boxesById = {b['id']: b for b in meta['boxes']}
self.assertDictEqual(
boxesById, {
'289x101': {
'angle': 25,
'center': '289x101',
'distance': 94,
'id': '289x101',
'object_id': 1
}
})
meta = result[2].Metadata["TRAC"]
pp.pprint(meta, indent=2)
boxesById = {b['id']: b for b in meta['boxes']}
#result[2].Shot.Show()
self.assertDictEqual(
boxesById, {
'377x84': {
'angle': 10,
'center': '377x84',
'distance': 89,
'id': '377x84',
'object_id': 1
}
})
def test_TrackingProcessor_SizeError(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_TrackingProcessor_SizeError
folder = '../camera-OpenCV-data/Camera/Foscam/Morning_Sergey_Tracking_Error'
yolo = YoloObjDetectionProcessor()
yolo.PreLoad()
target = TrackingProcessor(isDebug=True)
pipelineShots = DirectoryShotsProvider.FromDir(None, folder)
yolo.Process({'items': pipelineShots})
target.Process({'items': pipelineShots})
metadata1 = pipelineShots[1].Metadata["TRAC"]
pp.pprint(metadata1, indent=2)
# pipelineShots[1].Shot.Show()
boxesById = {b['id']: b for b in metadata1['boxes']}
self.assertDictEqual(
boxesById, {
'436x69': {
'angle': 27,
'center': '436x69',
'distance': 83,
'id': '436x69',
'object_id': 1
}
})
def test_MailSend(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_MailSend
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Lilia_Gate'
pipeline = ShotsPipeline('Foscam', self.log)
pipeline.providers.append(DirectoryShotsProvider(folder))
pipeline.processors.append(
TestProcessor({'YOLO': {
'labels': 'person:2 car bird'
}}))
pipeline.processors.append(DiffContoursProcessor())
pipeline.processors.append(MailSenderProcessor(True))
pipeline.PreLoad()
shots = pipeline.GetShots()
shots[0].Metadata['YOLO'] = {}
shots[1].Metadata['YOLO'] = {}
shots[2].Metadata['YOLO'] = {}
shots[0].Metadata['YOLO']['labels'] = "person:2 car"
shots[1].Metadata['YOLO']['labels'] = "person bird car"
shots[2].Metadata['YOLO']['labels'] = ""
shots[0].Metadata['YOLO']['areas'] = [
self.getYoloArea('person'),
self.getYoloArea('person'),
self.getYoloArea('car')
]
shots[1].Metadata['YOLO']['areas'] = [
self.getYoloArea('person'),
self.getYoloArea('bird'),
self.getYoloArea('car')
]
shots[2].Metadata['YOLO']['areas'] = []
result = pipeline.Process(shots)
sendMeta = result[0].Metadata['SMTP']
self.assertEqual(sendMeta["Subject"],
"Foscam @09:02:54 person:2 car bird (06.02.2019)")
self.assertEqual(sendMeta["id"], 'Foscam@2019-02-06T09:02:56.000Z')
def test_WholePipeline(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_WholePipeline
CommonHelper.networkConfig = {}
folder = '../camera-OpenCV-data/Camera/Foscam/Day_Sergey_and_Olivia_tracking'
hassioDir = "temp"
if not os.path.exists(hassioDir):
os.mkdir(hassioDir)
## INIT
pipeline = ShotsPipeline('Foscam', self.log)
pipeline.providers.append(DirectoryShotsProvider(folder))
# # proceccor : Analyse() GetJsonResult() Draw()
#pipeline.processors.append(ZonesProcessor())
pipeline.processors.append(DiffContoursProcessor())
#pipeline.processors.append(MagnifyProcessor())
pipeline.processors.append(YoloObjDetectionProcessor())
pipeline.processors.append(TrackingProcessor())
# #post processors:
########################################################################
# Save analysed files to temp
# original: temp\20190203_085908_{camera}.jpg
# analysed: temp\20190203_085908_{camera}_cv.jpeg
pipeline.processors.append(SaveToTempProcessor(True))
########################################################################
# mail analysed files to gmail
# attached: {ARCHIVE}\2019\02\03\cv_20190203-085908-{n}-{camera}_cv.(jpeg|png)
# attached: info.json
# body : Analysis Log
# Subject : {HH:MM} {detected objects} {total_area_countours}
pipeline.processors.append(MailSenderProcessor(True))
########################################################################
# update files in hassio server
pipeline.processors.append(HassioProcessor(hassioDir))
########################################################################
# save original files and analysed to archive directory by date
# move from local archive to distant server (windows => diskstation)
# original: {ARCHIVE}\2019\02\03\20190203-085908-{n}-{camera}.jpg
# analysed: {ARCHIVE}\2019\02\03\20190203-085908-{n}-{camera}_cv.(jpeg|png)
pipeline.processors.append(ArchiveProcessor(True))
########################################################################
# add to ES info about files + analysed info
pipeline.processors.append(ElasticSearchProcessor(True))
pipeline.PreLoad()
## Procerss on shots comming
shots = pipeline.GetShots()
result = pipeline.Process(shots)
# analyseResult[0].Shot.Show()
# analyseResult[1].Shot.Show()
# analyseResult[2].Shot.Show()
self.assertTrue("TRAC" in result[1].Metadata)
self.assertTrue("YOLO" in result[1].Metadata)
self.assertTrue("DIFF" in result[1].Metadata)
self.assertTrue("TRAC" in result[2].Metadata)
self.assertTrue("YOLO" in result[2].Metadata)
self.assertTrue("DIFF" in result[2].Metadata)
self.assertTrue("TEMP" in result[2].Metadata)
self.assertTrue("HASS" in result[2].Metadata)
self.assertTrue("ELSE" in result[2].Metadata)
tempMD = result[0].Metadata['TEMP']
self.assertEqual(tempMD['fullname'],
"temp\\20190328_080122_Foscam_cv.jpeg")
#self.assertEqual(tempMD['original_fullname'], "temp\\20190328_080122_Foscam.jpg")
tempMD = result[1].Metadata['TEMP']
self.assertEqual(tempMD['fullname'],
"temp\\20190328_080123_Foscam_cv.jpeg")
#self.assertEqual(tempMD['original_fullname'], "temp\\20190328_080123_Foscam.jpg")
mailMD = result[0].Metadata['SMTP']
self.assertEqual(mailMD["Subject"],
"Foscam @08:01:22 person:2 (28.03.2019)")
#self.assertEqual(mailMD["Body"], "/** Processing LOG **/")
#self.assertGreater(mailMD["MessageSize"], 200000)
hassMD = result[0].Metadata['HASS']
self.assertEqual(hassMD['hassio_location'], 'temp\\cv_Foscam_0.jpg')
archMD = result[0].Metadata['ARCH']
self.assertEqual(
archMD['archive_destination'], AppSettings.CAMERA_ARCHIVE_PATH +
'\\CameraArchive\\Foscam\\2019-03\\28\\20190328_080122_Foscam_cv.jpeg'
)
self.assertEqual(
archMD['archive_destination_orig'],
AppSettings.CAMERA_ARCHIVE_PATH +
'\\CameraArchive\\Foscam\\2019-03\\28\\20190328_080122_Foscam.jpg')
els = result[0].Metadata["ELSE"]
self.assertIsNotNone(els['JSON'])
dictEls = json.loads(els['JSON'])
print(els['JSON'])
self.assertIsNotNone(dictEls['Analyse'])
self.assertEqual(dictEls['Analyse']['YOLO']['areas'][0]['label'],
"person")
self.assertEqual(dictEls['Analyse']['YOLO']['labels'], "person:2")
self.assertEqual(dictEls['Analyse']['SMTP']['Subject'],
"Foscam @08:01:22 person:2 (28.03.2019)")
def test_TrackingProcessor_Day_3Person_2stay(self):
# python -m unittest tests.test_pipeline.TestPipeline.test_TrackingProcessor_Day_3Person_2stay
folder = '../camera-OpenCV-data/Camera/Foscam/Day_3Person_2stay'
yolo = YoloObjDetectionProcessor()
yolo.PreLoad()
target = TrackingProcessor(isDebug=True)
pipelineShots = DirectoryShotsProvider.FromDir(None, folder)
yolo.Process({'items': pipelineShots})
target.Process({'items': pipelineShots})
for i, pShot in enumerate(pipelineShots):
meta = pShot.Metadata["TRAC"]['boxes']
title = ""
for box in meta:
title += f" B:{box['id']}-ID{box['object_id']}"
print(f"Shot #{i}: {pShot.Shot.filename}")
pp.pprint(meta, indent=2)
#pShot.Shot.Show(title)
# ID1 : Oli, ID2 : Fra
meta = pipelineShots[0].Metadata["TRAC"]
boxesById = {b['id']: b for b in meta['boxes']}
self.assertDictEqual(
boxesById, {
'201x281': {
'id': '201x281',
'object_id': 2
},
'240x373': {
'id': '240x373',
'object_id': 1
}
})
meta = pipelineShots[1].Metadata["TRAC"]
boxesById = {b['id']: b for b in meta['boxes']}
self.assertDictEqual(
boxesById, {
'183x288': {
'angle': -158,
'center': '183x288',
'distance': 19,
'id': '183x288',
'object_id': 2
},
'277x315': {
'angle': 57,
'center': '277x315',
'distance': 68,
'id': '277x315',
'object_id': 1
}
})
meta = pipelineShots[2].Metadata["TRAC"]
boxesById = {b['id']: b for b in meta['boxes']}
self.assertDictEqual(
boxesById,
{
'177x299': {
'angle': -118,
'center': '177x299',
'distance': 12,
'id': '177x299',
'object_id': 2
},
'189x247': {
'id': '189x247',
'object_id': 3
}, # Papa
'289x305': {
'angle': 39,
'center': '289x305',
'distance': 15,
'id': '289x305',
'object_id': 1
}
})
meta = pipelineShots[3].Metadata["TRAC"]
boxesById = {b['id']: b for b in meta['boxes']}
self.assertDictEqual(
boxesById['162x285'], {
'angle': 136,
'center': '162x285',
'distance': 20,
'id': '162x285',
'object_id': 2
})