-
Notifications
You must be signed in to change notification settings - Fork 546
/
webcam_counting.py
19 lines (14 loc) · 956 Bytes
/
webcam_counting.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
#----------------------------------------------
#--- Author : Ahmet Ozlu
#--- Mail : [email protected]
#--- Date : 27th July 2019
#----------------------------------------------
# Imports
import tensorflow as tf
# Object detection imports
from utils import backbone
from api import object_counting_api
# By default I use an "SSD with Mobilenet" model here. See the detection model zoo (https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md) for a list of other models that can be run out-of-the-box with varying speeds and accuracies.
detection_graph, category_index = backbone.set_model('ssd_mobilenet_v1_coco_2018_01_28', 'mscoco_label_map.pbtxt')
is_color_recognition_enabled = False # set it to true for enabling the color prediction for the detected objects
object_counting_api.object_counting_webcam(detection_graph, category_index, is_color_recognition_enabled)