INTRODUCTION
Requirements:
Python 3.5
PyQt5 5.9.2
opencv-python 3.4.0.12
tensorflow-gpu 1.5.0
CUDA 8.0
easydict
Use:
-
run train_and_detection/win_entry.py
-
"open model" --> (summary/cnn3d_17)
-
"open video"
Train:
run train_and_detection/train.py
Reference:
[1]Learning Spatio-Temporal Representation with Pseudo-3D Residual,ICCV2017
Spatio-Temporal Deep Neursl Network Based Video Smoke Detection
1.model
2Dto3D:
3D:
conv3d block(A,B,C):
3D_DenseNet:
Result1:
Result2: