ZoneMinder Forums
https://forums.zoneminder.com/
Code: Select all
Jul 01 2021 12:41:56.718392 [DBG 1] Hashes are correct: password matched
Jul 01 2021 12:41:56.723684 [DBG 1] Monitor ID not specified, or not found in mlapi config, using zm_detect overrides
Jul 01 2021 12:41:56.723747 [DBG 2] using ml_sequence
Jul 01 2021 12:41:56.724581 [DBG 2] Found stream_sequence in mlapi config, ignoring objectconfig.ini
Jul 01 2021 12:41:56.724630 [DBG 1] Object Recognition requested
Jul 01 2021 12:41:56.724638 [DBG 1] Calling detect streams
Jul 01 2021 12:41:56.724651 [DBG 3] Using manual locking as we are only using one model
Jul 01 2021 12:41:56.724783 [DBG 2] Media get SSL certificate check has been disbled
Jul 01 2021 12:41:56.724838 [DBG 2] Using URL 34373 for stream
Jul 01 2021 12:41:56.724865 [DBG 2] We will only process frames: ['alarm', 'snapshot']
Jul 01 2021 12:41:56.724873 [DBG 2] No need to start streams, we are picking images from http://xxxxxxxxxxx/zm/index.php?view=image&eid=34373
Jul 01 2021 12:41:56.724895 [DBG 3] Reading http://xxxxxxxxxxx/zm/index.php?view=image&eid=34373&fid=alarm
Jul 01 2021 12:41:56.724924 [DBG 3] No need to relogin as access token still has 119.43901405 minutes remaining
Jul 01 2021 12:41:56.724944 [DBG 3] make_request called with url=http://xxxxxxxxxxx/zm/index.php?view=image&eid=34373&fid=alarm payload={} type=get query={'token': 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJab25lTWluZGVyIiwiaWF0IjoxNjI1MTA3MjgzLCJleHAiOjE2MjUxMTQ0ODMsInVzZXIiOiJhZG1pbiIsInR5cGUiOiJhY2Nlc3MifQ.zx5bZTfpw9YATvHs6z2ks7lpWQDfbrbz2-kq9zy32U4'}
Jul 01 2021 12:41:56.900334 [DBG 1] perf: Starting for frame:alarm
Jul 01 2021 12:41:56.900545 [DBG 1] Sequence of detection types to execute: ['object']
Jul 01 2021 12:41:56.900821 [DBG 1] ============ Frame: alarm Running object detection type in sequence ==================
Jul 01 2021 12:41:56.901869 [DBG 2] Loading sequence: TPU object detection
Jul 01 2021 12:41:56.901955 [DBG 2] Initializing model type:object with options:{'name': 'TPU object detection', 'enabled': 'yes', 'object_weights': '/var/lib/zmeventnotification/models/coral_edgetpu/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite', 'object_labels': '/var/lib/zmeventnotification/models/coral_edgetpu/coco_indexed.names', 'object_min_confidence': 0.6, 'object_framework': 'coral_edgetpu', 'tpu_max_processes': 1, 'tpu_max_lock_wait': 120, 'max_detection_size': '100%', 'show_models': 'yes', 'disable_locks': 'no'}
Jul 01 2021 12:41:56.918571 [DBG 2] portalock: max:1, name:pyzm_uid0_tpu_lock, timeout:120
Jul 01 2021 12:41:56.918754 [DBG 2] Loading sequence: YoloV4 GPU/CPU
Jul 01 2021 12:41:56.918800 [DBG 2] Initializing model type:object with options:{'name': 'YoloV4 GPU/CPU', 'enabled': 'yes', 'object_config': '/var/lib/zmeventnotification/models/yolov4/yolov4.cfg', 'object_weights': '/var/lib/zmeventnotification/models/yolov4/yolov4.weights', 'object_labels': '/var/lib/zmeventnotification/models/yolov4/coco.names', 'object_min_confidence': 0.3, 'object_framework': 'opencv', 'object_processor': 'cpu', 'gpu_max_processes': 1, 'gpu_max_lock_wait': 120, 'cpu_max_processes': 2, 'cpu_max_lock_wait': 120, 'max_detection_size': '100%', 'show_models': 'yes', 'disable_locks': 'no'}
Jul 01 2021 12:41:56.919456 [DBG 2] portalock: max:2, name:pyzm_uid0_cpu_lock, timeout:120
Jul 01 2021 12:41:56.919521 [DBG 2] Waiting for pyzm_uid0_tpu_lock portalock...
Jul 01 2021 12:41:56.919814 [DBG 2] Got pyzm_uid0_tpu_lock portalock
Jul 01 2021 12:41:56.919839 [DBG 2] Waiting for pyzm_uid0_cpu_lock portalock...
Jul 01 2021 12:41:56.919947 [DBG 2] Got pyzm_uid0_cpu_lock portalock
Jul 01 2021 12:41:56.919970 [DBG 3] object has a same_model_sequence strategy of first
Jul 01 2021 12:41:56.919987 [DBG 3] --------- Frame:alarm Running variation: #1 -------------
Jul 01 2021 12:41:56.921862 [DBG 2] pyzm_uid0_tpu_lock portalock already acquired
Jul 01 2021 12:41:56.921919 [DBG 1] |--------- Loading "TPU object detection" model from disk -------------|
Jul 01 2021 12:41:59.611123 [DBG 1] perf: processor:tpu TPU initialization (loading /var/lib/zmeventnotification/models/coral_edgetpu/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite from disk) took: 2689.15 ms
Jul 01 2021 12:41:59.611221 [DBG 1] |---------- TPU (input image: 800w*450h) ----------|
Jul 01 2021 12:41:59.647217 [DBG 2] Released portalock pyzm_uid0_tpu_lock
Jul 01 2021 12:41:59.647296 [DBG 1] perf: processor:tpu Coral TPU detection took: 35.90 ms
Jul 01 2021 12:41:59.647346 [DBG 3] Coral object returning: [[326, 9, 408, 53]],['car'],[0.6171875]
Jul 01 2021 12:41:59.647563 [DBG 2] core model detection over, got 1 objects. Now filtering
Jul 01 2021 12:41:59.647595 [DBG 2] Max object size found to be: 100%
Jul 01 2021 12:41:59.648006 [DBG 2] Converted 100% to 360000.0
Jul 01 2021 12:41:59.648043 [DBG 2] Returning filtered list of 1 objects.
Jul 01 2021 12:41:59.648071 [DBG 2] This model iteration inside object found: labels: ['car'],conf:[0.6171875]
Jul 01 2021 12:41:59.648097 [DBG 2] Max object size found to be: 100%
Jul 01 2021 12:41:59.648127 [DBG 2] Converted 100% to 360000.0
Jul 01 2021 12:41:59.648161 [DBG 2] No polygons, adding full image polygon: {'name': 'full_image', 'value': [(0, 0), (640, 0), (640, 360), (0, 360)], 'pattern': None}
Jul 01 2021 12:41:59.648203 [DBG 3] resized polygons x=1.25/y=1.25: [{'name': 'full_image', 'value': [(0, 0), (800, 0), (800, 450), (0, 450)], 'pattern': None}]
Jul 01 2021 12:41:59.648641 [DBG 2] intersection: comparing object:car,POLYGON ((326 9, 408 9, 408 53, 326 53, 326 9)) to polygon:full_image,POLYGON ((0 0, 800 0, 800 450, 0 450, 0 0))
Jul 01 2021 12:41:59.648734 [DBG 2] Match pattern overridden to (person|car|motorbike|bus|truck|cat|dog) in ml_overrides
Jul 01 2021 12:41:59.649094 [DBG 2] full_image intersects object:car[[(326, 9), (408, 9), (408, 53), (326, 53)]]
Jul 01 2021 12:41:59.649145 [DBG 2] breaking out of same model loop, as matches found and strategy is "first"
Jul 01 2021 12:41:59.649481 [DBG 3] Reading http://xxxxxxxxxxx/zm/index.php?view=image&eid=34373&fid=snapshot
Jul 01 2021 12:41:59.649532 [DBG 3] No need to relogin as access token still has 119.39027066666667 minutes remaining
Jul 01 2021 12:41:59.649574 [DBG 3] make_request called with url=http://xxxxxxxxxxx/zm/index.php?view=image&eid=34373&fid=snapshot payload={} type=get query={'token': 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJab25lTWluZGVyIiwiaWF0IjoxNjI1MTA3MjgzLCJleHAiOjE2MjUxMTQ0ODMsInVzZXIiOiJhZG1pbiIsInR5cGUiOiJhY2Nlc3MifQ.zx5bZTfpw9YATvHs6z2ks7lpWQDfbrbz2-kq9zy32U4'}
Jul 01 2021 12:41:59.695084 [DBG 1] perf: Starting for frame:snapshot
Jul 01 2021 12:41:59.695176 [DBG 1] Sequence of detection types to execute: ['object']
Jul 01 2021 12:41:59.695203 [DBG 1] ============ Frame: snapshot Running object detection type in sequence ==================
Jul 01 2021 12:41:59.695228 [DBG 3] object has a same_model_sequence strategy of first
Jul 01 2021 12:41:59.695247 [DBG 3] --------- Frame:snapshot Running variation: #1 -------------
Jul 01 2021 12:41:59.698239 [DBG 2] Waiting for pyzm_uid0_tpu_lock portalock...
Jul 01 2021 12:41:59.698568 [DBG 2] Got pyzm_uid0_tpu_lock portalock
Jul 01 2021 12:41:59.698604 [DBG 1] |---------- TPU (input image: 800w*450h) ----------|
Jul 01 2021 12:41:59.722657 [DBG 2] Released portalock pyzm_uid0_tpu_lock
Jul 01 2021 12:41:59.722716 [DBG 1] perf: processor:tpu Coral TPU detection took: 23.97 ms
Jul 01 2021 12:41:59.722747 [DBG 3] Coral object returning: [[326, 8, 408, 52]],['car'],[0.62890625]
Jul 01 2021 12:41:59.723017 [DBG 2] core model detection over, got 1 objects. Now filtering
Jul 01 2021 12:41:59.723036 [DBG 2] Max object size found to be: 100%
Jul 01 2021 12:41:59.723072 [DBG 2] Converted 100% to 360000.0
Jul 01 2021 12:41:59.723094 [DBG 2] Returning filtered list of 1 objects.
Jul 01 2021 12:41:59.723114 [DBG 2] This model iteration inside object found: labels: ['car'],conf:[0.62890625]
Jul 01 2021 12:41:59.723142 [DBG 2] Max object size found to be: 100%
Jul 01 2021 12:41:59.723182 [DBG 2] Converted 100% to 360000.0
Jul 01 2021 12:41:59.723510 [DBG 2] intersection: comparing object:car,POLYGON ((326 8, 408 8, 408 52, 326 52, 326 8)) to polygon:full_image,POLYGON ((0 0, 800 0, 800 450, 0 450, 0 0))
Jul 01 2021 12:41:59.723560 [DBG 2] Match pattern overridden to (person|car|motorbike|bus|truck|cat|dog) in ml_overrides
Jul 01 2021 12:41:59.723591 [DBG 2] full_image intersects object:car[[(326, 8), (408, 8), (408, 52), (326, 52)]]
Jul 01 2021 12:41:59.723619 [DBG 2] breaking out of same model loop, as matches found and strategy is "first"
Jul 01 2021 12:41:59.724111 [DBG 2] pyzm_uid0_tpu_lock portalock already released
Jul 01 2021 12:41:59.724184 [DBG 2] Released pyzm_uid0_cpu_lock portalock
Jul 01 2021 12:41:59.724215 [DBG 1] perf: TOTAL detection sequence (with image loads) took: 2999.54 ms to process 34373
Jul 01 2021 12:41:59.724516 [DBG 1] Returning {'matched_data': {'boxes': [[326, 9, 408, 53]], 'error_boxes': [], 'labels': ['car'], 'confidences': [0.6171875], 'frame_id': 'alarm', 'model_names': ['coral'], 'image_dimensions': {'original': (360, 640), 'resized': (450, 800)}, 'image': None, 'polygons': [{'name': 'full_image', 'value': [(0, 0), (800, 0), (800, 450), (0, 450)], 'pattern': None}]}, 'all_matches': [{'frame_id': 'alarm', 'boxes': [[326, 9, 408, 53]], 'error_boxes': [], 'labels': ['car'], 'confidences': [0.6171875], 'detection_types': ['object'], 'model_names': ['coral']}, {'frame_id': 'snapshot', 'boxes': [[326, 8, 408, 52]], 'error_boxes': [], 'labels': ['car'], 'confidences': [0.62890625], 'detection_types': ['object'], 'model_names': ['coral']}]}Code: Select all
# if yes, last detection will be stored for monitors
# and bounding boxes that match, along with labels
# will be discarded for new detections. This may be helpful
# in getting rid of static objects that get detected
# due to some motion.
match_past_detections=noCode: Select all
# if yes, will convert 'snapshot' to a specific frame id
# This is useful because you may see boxes drawn at the wrong places when using mlapi
# This is because when mlapi detects an image, a 'snapshot' could point to, say, frame 45
# But when zm_detect gets the detections back and draws the boxes, snapshot could have moved
# to frame 50 (example). Enabling this makes sure mlapi tells zm_detect which frame id to use
# default is 'no'
'convert_snapshot_to_fid': 'yes',So if you look at your mlapi logs, there are no mentions of match_past_detections
Code: Select all
sudo -u www-data ./hook/zm_detect.py --config /etc/zm/objectconfig.ini --eventid 48677 --monitorid 3 --debug
07/01/21 06:59:00 zm_mlapi[1644765] INF detect_sequence.py:794 [Removing matches to past detections for monitor:3]
07/01/21 06:59:00 zm_mlapi[1644765] DBG2 detect_sequence.py:236 [trying to load /var/lib/zmeventnotification/images/monitor-3-data.pkl]
07/01/21 06:59:00 zm_mlapi[1644765] DBG3 detect_sequence.py:283 [Globals:past detection:use_percent:False, max_diff_area:0]
07/01/21 06:59:00 zm_mlapi[1644765] DBG2 detect_sequence.py:344 [match_past_detections: Comparing saved person@[(195, 145), (770, 145), (770, 1000), (195, 1000)] to person@[(348, 440), (728, 440), (728, 1014), (348, 1014)]]
07/01/21 06:59:00 zm_mlapi[1644765] DBG2 detect_sequence.py:362 [Diff area of:278825.0 > max_diff_pixels:0 for person@[(348, 440), (728, 440), (728, 1014), (348, 1014)], allowing it]Code: Select all
sudo -u www-data ./hook/zm_detect.py --config /etc/zm/objectconfig.ini --eventid 48677 --monitorid 3 --debug
07/01/21 06:59:39 zm_mlapi[1644765] DBG2 detect_sequence.py:344 [match_past_detections: Comparing saved person@[(348, 440), (728, 440), (728, 1014), (348, 1014)] to person@[(348, 440), (728, 440), (728, 1014), (348, 1014)]]
07/01/21 06:59:39 zm_mlapi[1644765] DBG1 detect_sequence.py:356 [past detection person@[(348, 440), (728, 440), (728, 1014), (348, 1014)] approximately matches person@[(348, 440), (728, 440), (728, 1014), (348, 1014)] removing]
07/01/21 06:59:39 zm_mlapi[1644765] DBG1 detect_sequence.py:372 [Saving detections for monitor 3 for future match]
07/01/21 06:59:39 zm_mlapi[1644765] DBG2 detect_sequence.py:380 [saving boxes:[[348, 440, 728, 1014]], labels:['person'] confs:[0.83984375] to /var/lib/zmeventnotification/images/monitor-3-data.pkl]
Code: Select all
[ml]
# if enabled, will not grab exclusive locks before running inferencing
# locking seems to cause issues on some unique file systems
disable_locks = no
my_frame_strategy = most_models
use_sequence = yes
stream_sequence = {
'frame_strategy': '{{my_frame_strategy}}',
'frame_set': 'snapshot,alarm',
'contig_frames_before_error': 5,
'max_attempts': 3,
'sleep_between_attempts': 4,
'delay_between_frames':0,
'convert_snapshot_to_fid':'yes',
'resize':800
}
ml_sequence= {
'general': {
'model_sequence': '{{model_sequence}}',
'disable_locks': '{{disable_locks}}',
'match_past_detections':'yes',
},
'object': {
'general':{
'pattern':'{{object_detection_pattern}}',
'same_model_sequence_strategy': 'most_unique' # also 'most', 'most_unique's
},
'sequence': [{
#First run on TPU with higher confidence
#'maxsize':320,
'name': 'TPU object detection',
'enabled': 'yes',
'object_weights':'{{tpu_object_weights_mobiledet}}',
'object_labels': '{{tpu_object_labels}}',
'object_min_confidence': {{tpu_min_confidence}},
'object_framework':'{{tpu_object_framework}}',
'tpu_max_processes': {{tpu_max_processes}},
'tpu_max_lock_wait': {{tpu_max_lock_wait}},
'max_detection_size':'{{max_detection_size}}',
},
{
# YoloV4 on GPU if TPU fails (because sequence strategy is 'first')
'name': 'YoloV4 GPU/CPU object detection',
'enabled': 'yes',
'object_config':'{{yolo4_object_config}}',
'object_weights':'{{yolo4_object_weights}}',
'object_labels': '{{yolo4_object_labels}}',
'object_min_confidence': {{object_min_confidence}},
'object_framework':'{{yolo4_object_framework}}',
'object_processor': '{{yolo4_object_processor}}',
'gpu_max_processes': {{gpu_max_processes}},
'gpu_max_lock_wait': {{gpu_max_lock_wait}},
'cpu_max_processes': {{cpu_max_processes}},
'cpu_max_lock_wait': {{cpu_max_lock_wait}},
'max_detection_size':'{{max_detection_size}}',
}]
},
'face': {
'general':{
'pattern': '{{face_detection_pattern}}',
'same_model_sequence_strategy': 'first'
},
'sequence': [{
'name': 'Dlib Face Detection',
'enabled': 'yes',
'save_unknown_faces':'{{save_unknown_faces}}',
'save_unknown_faces_leeway_pixels':{{save_unknown_faces_leeway_pixels}},
'face_detection_framework': '{{face_detection_framework}}',
'known_images_path': '{{known_images_path}}',
'unknown_images_path': '{{unknown_images_path}}',
'face_model': '{{face_model}}',
'face_train_model': '{{face_train_model}}',
'face_recog_dist_threshold': {{face_recog_dist_threshold}},
'face_num_jitters': {{face_num_jitters}},
'face_upsample_times':{{face_upsample_times}},
'gpu_max_processes': {{gpu_max_processes}},
'gpu_max_lock_wait': {{gpu_max_lock_wait}},
'cpu_max_processes': {{cpu_max_processes}},
'cpu_max_lock_wait': {{cpu_max_lock_wait}},
'max_size':800
},
{
'name': 'Face Detection (TPU)',
'enabled': 'no',
'face_detection_framework': 'tpu',
'face_weights':'/var/lib/zmeventnotification/models/coral_edgetpu/ssd_mobilenet_v2_face_quant_postprocess_edgetpu.tflite',
'face_min_confidence': 0.3
}]
},
'alpr': {
'general':{
'same_model_sequence_strategy': 'first',
'pre_existing_labels':['car', 'motorbike', 'bus', 'truck', 'boat'],
'pattern': '{{alpr_detection_pattern}}'
},
'sequence': [{
'alpr_api_type': '{{alpr_api_type}}',
'alpr_service': '{{alpr_service}}',
'alpr_key': '{{alpr_key}}',
'platrec_stats': '{{platerec_stats}}',
'platerec_min_dscore': {{platerec_min_dscore}},
'platerec_min_score': {{platerec_min_score}},
'max_size':1600
}]
}
}
juan11perez wrote: ↑Thu Jul 01, 2021 5:36 am I might be wrong but I understood below setting is what you need to stop static items events.
Moreover, mlapi has been updated to incorporate the previously suggested fix for the out of place boxes.Code: Select all
# if yes, last detection will be stored for monitors # and bounding boxes that match, along with labels # will be discarded for new detections. This may be helpful # in getting rid of static objects that get detected # due to some motion. match_past_detections=noCode: Select all
# if yes, will convert 'snapshot' to a specific frame id # This is useful because you may see boxes drawn at the wrong places when using mlapi # This is because when mlapi detects an image, a 'snapshot' could point to, say, frame 45 # But when zm_detect gets the detections back and draws the boxes, snapshot could have moved # to frame 50 (example). Enabling this makes sure mlapi tells zm_detect which frame id to use # default is 'no' 'convert_snapshot_to_fid': 'yes',
I've updated docker accordingly
Code: Select all
stream_sequence = {
'frame_strategy': 'most_models',
'frame_set': 'snapshot,alarm',
'contig_frames_before_error': 5,
'max_attempts': 3,
'sleep_between_attempts': 0,
'delay_between_frames':0,
'convert_snapshot_to_fid':'yes',
'resize': 'no',
Code: Select all
sudo -u www-data /var/lib/zmeventnotification/bin/zm_detect.py --config /etc/zm/objectconfig.ini --eventid 27946 --monitorid 2 --debug >> zmevent.logCode: Select all
07/02/21 05:51:58 zmesdetect_m2[22376] INF ZMLog.py:291 [Setting up signal handler for logs]
07/02/21 05:51:58 zmesdetect_m2[22376] INF ZMLog.py:300 [Switching global logger to ZMLog]
07/02/21 05:51:58 zmesdetect_m2[22376] INF zm_detect.py:284 [---------| app:6.1.25, pyzm:0.3.50, ES:6.1.25
, OpenCV:4.5.2|------------]
07/02/21 05:51:58 zmesdetect_m2[22376] INF utils.py:405 [Reading config from: /etc/zm/objectconfig.ini]
07/02/21 05:51:58 zmesdetect_m2[22376] INF utils.py:410 [Reading secrets from: /etc/zm/secrets.ini]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 utils.py:382 [Secret token found in config: !ZM_PORTAL]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 utils.py:382 [Secret token found in config: !ZM_USER]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 utils.py:382 [Secret token found in config: !ZM_PASSWORD]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 utils.py:382 [Secret token found in config: !ZM_API_PORTAL]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 utils.py:382 [Secret token found in config: !ML_USER]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 utils.py:382 [Secret token found in config: !ML_PASSWORD]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 utils.py:382 [Secret token found in config: !PLATEREC_ALPR_KEY]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG1 utils.py:445 [allowing self-signed certs to work...]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 utils.py:455 [Now checking for monitor overrides]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG3 utils.py:473 [[monitor-2] overrides key:match_past_detections with value:yes]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG3 utils.py:473 [[monitor-2] overrides key:object_detection_pattern with value:(person)]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG3 utils.py:522 [Finally, doing parameter substitution]
07/02/21 05:51:58 zmesdetect_m2[22376] INF zm_detect.py:313 [Importing remote shim classes for Object/Face]
07/02/21 05:51:58 zmesdetect_m2[22376] INF zm_detect.py:334 [Connecting with ZM APIs]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 api.py:72 [API SSL certificate check has been disbled]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG1 api.py:181 [using username/password for login]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 api.py:210 [Using new token API]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG1 api.py:217 [Access token expires on:2021-07-02 07:51:58.432450 [7200s]]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG1 api.py:221 [Refresh token expires on:2021-07-03 05:51:58.432754 [86400s]]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 zm_detect.py:342 [using ml_sequence]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 zm_detect.py:354 [using stream_sequence]
07/02/21 05:51:58 zmesdetect_m2[22376] INF zm_detect.py:48 [Detecting using remote API Gateway http://192.168.1.100:5002/api/v1]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 zm_detect.py:57 [Found token file, checking if token has not expired]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG1 zm_detect.py:78 [Access token is valid for 698 more seconds]
07/02/21 05:51:58 zmesdetect_m2[22376] DBG2 zm_detect.py:141 [Invoking mlapi with url:http://192.168.1.100:5002/api/v1/detect/object?type=object and json: mid=2 reason=None stream=27946, stream_options={'frame_strategy': 'most_models', 'frame_set': 'snapshot,alarm', 'contig_frames_before_error': 5, 'max_attempts': 3, 'sleep_between_attempts': 4, 'resize': 800, 'api': None, 'polygons': []} ml_overrides={'model_sequence': 'object,face,alpr', 'object': {'pattern': '(person)'}, 'face': {'pattern': '.*'}, 'alpr': {'pattern': '.*'}} headers={'Authorization': 'Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE2MjUxOTAwMTksIm5iZiI6MTYyNTE5MDAxOSwianRpIjoiNzE1NDFmOTQtZjUzNy00NzZiLThhYWItYjBkMTdlNGI1N2I3IiwiZXhwIjoxNjI1MTkzNjE5LCJpZGVudGl0eSI6Imp1YW4xMXBlcmV6IiwiZnJlc2giOmZhbHNlLCJ0eXBlIjoiYWNjZXNzIn0.T2ShKKEfxxT6esvKtYEy2l_4QsYcAHTBZnHMJZf7qSk'} params={'delete': True, 'response_format': 'zm_detect'} ]
07/02/21 05:51:59 zmesdetect_m2[22376] DBG1 zm_detect.py:165 [remote detection inferencing took: 0:00:00.691893]
07/02/21 05:51:59 zmesdetect_m2[22376] DBG2 zm_detect.py:174 [Grabbing image from http://192.168.1.100:8088/zm/index.php?view=image&eid=27946&fid=alarm as we need to write objdetect.jpg]
07/02/21 05:51:59 zmesdetect_m2[22376] DBG3 api.py:144 [No need to relogin as access token still has 119.98835246666665 minutes remaining]
07/02/21 05:51:59 zmesdetect_m2[22376] DBG3 api.py:272 [make_request called with url=http://192.168.1.100:8088/zm/index.php?view=image&eid=27946&fid=alarm payload={} type=get query={'token': '<>>'}]
07/02/21 05:51:59 zmesdetect_m2[22376] DBG2 zm_detect.py:185 [Resizing source image from width=1280 to width=800 in zm_detect as that is the size mlapi used]
07/02/21 05:51:59 zmesdetect_m2[22376] DBG1 zm_detect.py:403 [Total remote detection detection took: 0:00:00.715404]
07/02/21 05:51:59 zmesdetect_m2[22376] DBG1 zm_detect.py:557 [Closing logs]