track and report all detected object types

This commit is contained in:
Blake Blackshear
2019-12-14 15:18:21 -06:00
parent 5c01720567
commit bee99ca6ff
7 changed files with 160 additions and 131 deletions

View File

@@ -2,6 +2,7 @@ import time
import datetime
import threading
import cv2
import numpy as np
from . util import draw_box_with_label
class ObjectCleaner(threading.Thread):
@@ -35,16 +36,15 @@ class ObjectCleaner(threading.Thread):
self._objects_parsed.notify_all()
# Maintains the frame and person with the highest score from the most recent
# motion event
class BestPersonFrame(threading.Thread):
# Maintains the frame and object with the highest score
class BestFrames(threading.Thread):
def __init__(self, objects_parsed, recent_frames, detected_objects):
threading.Thread.__init__(self)
self.objects_parsed = objects_parsed
self.recent_frames = recent_frames
self.detected_objects = detected_objects
self.best_person = None
self.best_frame = None
self.best_objects = {}
self.best_frames = {}
def run(self):
while True:
@@ -55,38 +55,30 @@ class BestPersonFrame(threading.Thread):
# make a copy of detected objects
detected_objects = self.detected_objects.copy()
detected_people = [obj for obj in detected_objects if obj['name'] == 'person']
# get the highest scoring person
new_best_person = max(detected_people, key=lambda x:x['score'], default=self.best_person)
# if there isnt a person, continue
if new_best_person is None:
continue
# if there is no current best_person
if self.best_person is None:
self.best_person = new_best_person
# if there is already a best_person
else:
now = datetime.datetime.now().timestamp()
# if the new best person is a higher score than the current best person
# or the current person is more than 1 minute old, use the new best person
if new_best_person['score'] > self.best_person['score'] or (now - self.best_person['frame_time']) > 60:
self.best_person = new_best_person
for obj in detected_objects:
if obj['name'] in self.best_objects:
now = datetime.datetime.now().timestamp()
# if the object is a higher score than the current best score
# or the current object is more than 1 minute old, use the new object
if obj['score'] > self.best_objects[obj['name']]['score'] or (now - self.best_objects[obj['name']]['frame_time']) > 60:
self.best_objects[obj['name']] = obj
else:
self.best_objects[obj['name']] = obj
# make a copy of the recent frames
recent_frames = self.recent_frames.copy()
if not self.best_person is None and self.best_person['frame_time'] in recent_frames:
best_frame = recent_frames[self.best_person['frame_time']]
label = "{}: {}% {}".format(self.best_person['name'],int(self.best_person['score']*100),int(self.best_person['area']))
draw_box_with_label(best_frame, self.best_person['xmin'], self.best_person['ymin'],
self.best_person['xmax'], self.best_person['ymax'], label)
# print a timestamp
time_to_show = datetime.datetime.fromtimestamp(self.best_person['frame_time']).strftime("%m/%d/%Y %H:%M:%S")
cv2.putText(best_frame, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
self.best_frame = cv2.cvtColor(best_frame, cv2.COLOR_RGB2BGR)
for name, obj in self.best_objects.items():
if obj['frame_time'] in recent_frames:
best_frame = recent_frames[obj['frame_time']] #, np.zeros((720,1280,3), np.uint8))
label = "{}: {}% {}".format(name,int(obj['score']*100),int(obj['area']))
draw_box_with_label(best_frame, obj['xmin'], obj['ymin'],
obj['xmax'], obj['ymax'], label)
# print a timestamp
time_to_show = datetime.datetime.fromtimestamp(obj['frame_time']).strftime("%m/%d/%Y %H:%M:%S")
cv2.putText(best_frame, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
self.best_frames[name] = cv2.cvtColor(best_frame, cv2.COLOR_RGB2BGR)