Commit Graph

18 Commits

Author SHA1 Message Date
335ae91568 Minor fix 2019-05-14 17:29:18 +03:00
4f72fcc015 Added grouped convolutional (depth-wise convolutional) 2019-05-10 16:46:48 +03:00
31dc6c8680 Added LSTM sequence detector, and blur data augmentation (for OpenCV only) 2019-05-07 16:28:31 +03:00
f19d1440cb Moved all OpenCV functions to the image_opencv.cpp/h 2019-04-04 22:57:05 +03:00
f5fd086407 Minor fix 2019-03-28 00:11:16 +03:00
b6e15f1656 ZED 3D Camera support added to ./uselib (yolo_console_cpp.exe) example 2019-03-18 02:48:52 +03:00
b751bac175 Fixed mAP calculation for CRNN layer during training 2019-03-05 02:15:44 +03:00
75f2a3e7cf Added object Detection & Tracking using conv-rnn layer on frames from video 2019-03-02 03:32:24 +03:00
b3579380dc improve compatibility with c++ compilers, prepare for CMake 2019-02-15 17:27:12 +01:00
f154d2070a Fixed RNN (LSTM, RNN, CRNN, GRU) for CUDNN_HALF=1 2019-02-08 00:51:41 +03:00
c7309c1fdb Fixed CRNN (RNN based on Convolution) layer 2019-02-01 01:30:02 +03:00
640bdbc063 LSTM, RNN, GRU - use connected_layer that uses cuDNN. Fixed CRNN for conv-layer with cuDNN. 2019-01-28 23:50:51 +03:00
7c2f302321 Fixed nan issue for training with CUDNN_HALF=1 by using Tensor Cores 2018-12-07 22:40:10 +03:00
7dd97537fb XNOR-net tiny-yolo_xnor.cfg ~2x faster than cuDNN on CUDA (nVidia GPU Maxwell) 2018-09-22 02:01:14 +03:00
352ae7e65b ADAM 2016-10-26 08:35:44 -07:00
481b57a96a So I have this new programming paradigm....... 2016-09-24 23:12:54 -07:00
c7b10ceadb so much need to commit 2016-05-06 16:25:16 -07:00
16d06ec0db stuff 2016-02-29 13:54:12 -08:00