title: Ð¡ÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð² Ð²Ð¾Ð·Ð³Ð¾ÑÐ°Ð½Ð¸Ñ Ð½Ð° Ð°ÑÑÐ¾ÑÐ¾ÑÐ¾ÑÐ½Ð¸Ð¼ÐºÐ°Ñ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ²ÑÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Segmentation of ignition sources in aerial photographs using convolutional neural network
Creators: name: Ð¯ÐºÐ¾Ð²Ð»ÐµÐ²Ð°, ÐÐ¸Ð°Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð·ÑÐµÐ½Ð¸Ðµ
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ
ÑÐ²ÐµÑÑÐ¾ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð»Ð¾ÐºÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ
ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ ÑÐºÐ·ÐµÐ¼Ð¿Ð»ÑÑÐ°Ð¼Ð¸
yolact
computer vision
detection
convolutional neural networks
classification
localization
instance segmentation

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÐ¿Ð¾ÑÐ¾Ð±Ð¾Ð² Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸ÑÑ, Ð² ÑÐ°ÑÑÐ½Ð¾ÑÑÐ¸ Ð¾ÑÐ°Ð³Ð¾Ð² Ð²Ð¾Ð·Ð³Ð¾ÑÐ°Ð½Ð¸Ñ. Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð»Ð¾ÐºÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿Ð¾Ð¶Ð°ÑÐ¾Ð² Ð¿Ð¾ Ð°ÑÑÐ¾ÑÐ¾ÑÐ¾ÑÐ½Ð¸Ð¼ÐºÐ°Ð¼ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð²Ð¾ÑÐ¿Ð»Ð°Ð¼ÐµÐ½ÐµÐ½Ð¸Ð¹, Ð² ÑÐ¾Ð¼ ÑÐ¸ÑÐ»Ðµ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²ÑÐµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ, ÑÐµÑÐ°ÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸ Ð´ÐµÑÐµÐºÑÐ¸Ð¸ Ð¸ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸ÑÑ Ð¸ Ð²Ð¸Ð´ÐµÐ¾Ð¿Ð¾ÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½Ð¾ÑÑÑÑ. ÐÐ»Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð° Ð²ÑÐ±ÑÐ°Ð½Ð° Ð¾Ð´Ð½Ð° Ð¸Ð· Ð½Ð¾Ð²ÐµÐ¹ÑÐ¸Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ â YOLACT. ÐÐ»Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ YOLACT Ð±ÑÐ» ÑÐ¾Ð·Ð´Ð°Ð½ Ð½Ð°Ð±Ð¾Ñ Ð´Ð°Ð½Ð½ÑÑ, ÑÐ¾ÑÑÐ¾ÑÑÐ¸Ð¹ Ð¸Ð· ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸Ð¹, ÑÐ½ÑÑÑÑ Ñ ÐÐÐÐ. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐ¹ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð±ÑÐ» Ð¾ÑÐµÐ½ÐµÐ½ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼ÐµÑÑÐ¸Ðº. ÐÐ°Ð¸Ð±Ð¾Ð»ÑÑÐ°Ñ ÑÑÐµÐ´Ð½ÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ mAP Ð´Ð¾ÑÑÐ¸Ð³Ð°ÐµÑÑÑ Ð¿ÑÐ¸ Ð·Ð½Ð°ÑÐµÐ½Ð¸Ð¸ IoU = 0,5 Ð¿ÑÐ¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ð¸ Ð¿Ð¾Ð»Ð¸Ð³Ð¾Ð½Ð°Ð¼Ð¸ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ° Â«Ð´ÑÐ¼Â» 65,05% Ð¸ Ð´Ð»Ñ Â«Ð¾Ð³Ð¾Ð½ÑÂ» 36,6%. ÐÑÐ¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ð¸ Ð¾Ð³ÑÐ°Ð½Ð¸ÑÐ¸Ð²Ð°ÑÑÐ¸Ð¼Ð¸ Ð¿ÑÑÐ¼Ð¾ÑÐ³Ð¾Ð»ÑÐ½Ð¸ÐºÐ°Ð¼Ð¸ mAP ÑÐ¾ÑÑÐ°Ð²Ð»ÑÐµÑ 65,25% Ð¸ 38,94% Ð´Ð»Ñ Â«Ð´ÑÐ¼Ð°Â» Ð¸ Â«Ð¾Ð³Ð½ÑÂ» ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÐµÐ½Ð½Ð¾. Ð¡ÐºÐ¾ÑÐ¾ÑÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÑÐ¾ÑÑÐ°Ð²Ð¸Ð»Ð° 25 ÐºÐ°Ð´ÑÐ¾Ð² Ð² ÑÐµÐºÑÐ½Ð´Ñ Ð½Ð° Ð²Ð¸Ð´ÐµÐ¾ÐºÐ°ÑÑÐµ NVIDIA GeForce RTX 2080 TI Ð¸ 5 ÐºÐ°Ð´ÑÐ¾Ð² Ð² ÑÐµÐºÑÐ½Ð´Ñ Ð½Ð° NVIDIA Jetson AGX Xavier.
description: The theme of the final qualifying work: âSegmentation of ignition sources in aerial photographs using a convolutional neural networkâ. This work is devoted to the study of methods for detecting objects in photographs fires. The aim of the work is to implement a neural network algorithm for localizing fires from aerial photographs based on the existing methods. The paper considers various methods of computer vision for detecting flames, including neural network algorithms that solve the problems of detecting and segmenting objects in photographs and video sequences. One of the newest real-time segmentation models, YOLACT, was chosen for the study. To train the YOLACT model, a dataset was created, consisting of various photographs taken from the UAV. The resulting neural network algorithm was evaluated using metrics. At high average accuracy, mAP is achieved at IoU = 0,5 with 65,05% detection by polygons for smoke and 36,6% for fire. When detected by bounding boxes, the mAP is 65,25% and 38,94% for smoke and fire, respectively. The algorithm speed was 25 frames per second on the NVIDIA GeForce RTX 2080 TI graphics card and 5 frames per second on the NVIDIA Jetson AGX Xavier.