No self-introduction
Loading
Profile
Follow
codes (7)
Deep learning, DBN network training
4.0
Application background Undergraduate graduation design, entitled "based on deep learning's vehicle identification system". This code for the image of the batch processing, the picture is converted into text data using OpenCV format. Key Technology To convert the picture, because deep learning mode is to learn the vector, the code is mainly for the specified folder within the picture of the 0~255 to convert the number of components of the vector into the text
狂子小 0 0
1
Opencv batch modify image size
no vote
Application background Background mainly for graduation design, based on deep learning's vehicle identification system Key Technology Deep learning needs to be converted into a large number of pictures for the same size format, this code will be converted into a large number of pictures in the specified format, the opencv2.4.9 configuration can be used directly, and on the last part of the connection
狂子小 0 0
1
DBN network training
4.0
Application background Background for the completion of the vehicle identification based on deep learning Key Technology After the processing of the image of the depth of the neural network training, the completion of a deep learning device, and finally the use of softmax classifier, the classification of learning characteristics
狂子小 1 0
1
imageclipper
no vote
Imageclipper source code and the executable file containing class libraries can be used directly, the picture is copied to the current directory, and then click on the exe file to a large number of pictures in the clip operation, positive and negative sample manipulation is haartraining choice
狂子小 0 0
1
OpenCV implementation of dynamic vehicle identific
4.1
In the context of dynamic real-time monitoring of vehicles, the recognition rate is 90%, with deep learning parameters, matrix pulled out of the video, through the characteristics of neural networks for monitoring and softmax category judge, can be used to complete the vehicle identification code available. Environment: vs2012 opencv2.4.9
狂子小 31 0
1
Vehicle identification system
no vote
Set preferred using OpenCV implementation of vehicle identification, preprocessing is done in place of the video frame, can be very good for vehicle monitoring, can be used directly
狂子小 1 0
1
OpenCV dynamic object detection
4.0
Dynamic object detection using OpenCV, whenever the object enters range, will detect any objects, initially only for vehicle testing, then realized it is very practical and can also detect other objects, pedestrians, code under the OpenCV environment can be run directly
狂子小 6 57
1
No more~
Follows0
Fans0