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darknet
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127 Commits

Author SHA1 Message Date
AlexeyAB a08c872564 Sway conv-kernel 2019-12-14 03:07:01 +03:00
AlexeyAB 642c065c0e Fixed DropBlock [dropout] dropblock_size_abs=7 dropblock_size_rel=0.5 2019-12-13 01:22:03 +03:00
AlexeyAB 1df3ddc7d6 Added DropBlock. Use [dropout] dropblock=1 dropblock_size=0.5 probability=0.1 2019-12-11 13:16:41 +03:00
AlexeyAB 2a873f3448 Added label_smooth_eps=0.1 for [net] layer for Label Smoothing for Classifier 2019-12-08 17:25:01 +03:00
AlexeyAB 318919e1cb Added label_smooth_eps=0.1 for [yolo] and [Gaussian_yolo] layer for Label Smoothing 2019-12-08 16:39:28 +03:00
AlexeyAB c9c745ccf1 Added [convolutional] activation=normalize_channels_softmax 2019-12-06 23:25:12 +03:00
AlexeyAB 68db8efb27 Added Fusion features for ASFF and for BiFPN(EfficientDet) 2019-11-28 20:34:01 +03:00
AlexeyAB 0d98f20be1 You can train with mini_batch=128 (batch=256 subdivisions=2) on GPU 8 GB VRAM + 128 GB CPU-RAM and more. Set in cfg-file: optimized_memory=3 and workspace_size_limit_MB=2000 or 4000 2019-11-26 23:18:04 +03:00
AlexeyAB 48914023da Added init_cpu() function to init CPU just to speedup the 1st detection (if GPU=0) 2019-11-25 18:10:39 +03:00
AlexeyAB 8cb3ee4e79 diounms_sort() fixed 2019-11-23 18:59:29 +03:00
AlexeyAB 4f70fc14e9 Added DIoU and CIoU to [yolo] and [Gaussian_yolo] 2019-11-23 16:42:43 +03:00
AlexeyAB 6e5bdf1282 Bug fix 2019-11-16 18:16:37 +03:00
AlexeyAB e7e85b358c Added delta_yolo_box_accumulate(). Added iou_thresh=0.213 parameter to [yolo] layer IoU(anchor,truth). 2019-11-15 01:14:55 +03:00
AlexeyAB ded620ac6b fixed memory deallocation 2019-11-12 15:12:06 +03:00
AlexeyAB d91d59a22f Optimized memory allocation for Detection (inference only), without allocation memory for training 2019-11-09 22:48:18 +03:00
AlexeyAB 0fa9c8f105 Added groups= and groupd_id= params to the [route] layer 2019-11-08 01:06:49 +03:00
AlexeyAB bf8ea4183d Added MISH activation, use activation=mish in [convolutional] layers 2019-11-07 01:15:58 +03:00
AlexeyAB 52e3bb252f Use non-blocking sockets for JSON_server and MJPEG_server 2019-11-04 14:39:20 +03:00
AlexeyAB b3a2495298 Added Gaussian YOLOv3 layer [Gaussian_yolo] 2019-10-25 20:47:17 +03:00
enes 1108eafa95 Batch inference added 2019-10-16 10:00:57 +03:00
AlexeyAB be5d0d6693 Added assisted_excitation=1 for [convolutional] layer on GPU 2019-09-03 01:35:05 +03:00
AlexeyAB 11b8b2bddf Added antialiasing=1 param for [convolutional]-layer on GPU 2019-09-02 02:13:11 +03:00
AlexeyAB 8d80a65288 Max pool layer can use stride=2 or stride_x=2 stride_y=4 (isn't tested well) 2019-08-27 14:04:39 +03:00
AlexeyAB c1f184249e Added assisted_excitation_forward for training on CPU 2019-08-08 00:29:06 +03:00
AlexeyAB 2fa9792c56 Added [sam] layer 2019-08-02 19:29:05 +03:00
Stefano Sinigardi b9e7cd3d35 introduce functions to detect build features 2019-07-18 10:48:19 +02:00
AlexeyAB 54e2d0b0e8 Added ability to use letter_box resizing in darknet.py sample 2019-07-01 19:07:13 +03:00
AlexeyAB d4402d29c2 Added maxpool_depth= and out_channels= params to [maxpool] 2019-06-30 13:53:11 +03:00
AlexeyAB 88cccfcad4 Added Swish-activation 2019-06-26 15:48:22 +03:00
AlexeyAB c9129c2078 Added letter_box=1 param in [net] section (cfg-file) for keeping aspect ratio during training 2019-06-22 17:04:00 +03:00
AlexeyAB cc41339805 Added [scale_channels] layer for squeeze-and-excitation blocks 2019-06-19 23:36:02 +03:00
AlexeyAB bd689f91ac Added TridentNet (state-of-art on MS COCO) 2019-06-13 14:43:23 +03:00
AlexeyAB 88ce9dcca6 Added dilation parameter for convolutional, conv_lstm and crnn layers 2019-06-08 19:41:44 +03:00
AlexeyAB 57baf1a487 Added Mixup data augmentation if is used mixup=1 2019-06-06 02:55:11 +03:00
Alexey 2347913ef1
Merge pull request #2952 from cenit/dev/cenit/include 
[headers] remove many installed files which should remain private, add more fixes for downstream projects
 2019-06-05 17:37:28 +03:00
AlexeyAB 1f6f2e1162 Compile fix 2019-06-04 21:46:11 +03:00
AlexeyAB eac26226a7 Added scale_x_y param to [yolo]-layer (for sigmoid). 
In previous commit is used GIoU(generalized-iou) from  https://github.com/generalized-iou/g-darknet
 2019-06-04 21:20:59 +03:00
AlexeyAB 6e13527f06 Added GIoU 2019-06-01 01:27:18 +03:00
Stefano Sinigardi a3d5cc4664
Merge branch 'master' into dev/cenit/include 2019-05-25 20:27:19 +02:00
AlexeyAB 9c9344a1ff Added flag -letter_box for Detection 2019-05-21 23:47:47 +03:00
AlexeyAB 038289eb7d Some conv-lstm, sgdr and other fixes 2019-05-14 14:35:22 +03:00
Stefano Sinigardi 920b29f15f fixes for ci and included files 2019-05-14 09:23:02 +02:00
AlexeyAB a7e5976c1b Added sequential subdivisions 2019-05-09 22:47:23 +03:00
AlexeyAB 31dc6c8680 Added LSTM sequence detector, and blur data augmentation (for OpenCV only) 2019-05-07 16:28:31 +03:00
AlexeyAB 099b71d1de Removed IplImage completely 2019-04-16 16:35:54 +03:00
AlexeyAB 8c970498a2 Minor fix 2019-04-11 02:47:19 +03:00
AlexeyAB d7a95aefb2 Added flag -show_imgs for Training, to show augmented images with bboxes 2019-04-05 16:04:26 +03:00
AlexeyAB f19d1440cb Moved all OpenCV functions to the image_opencv.cpp/h 2019-04-04 22:57:05 +03:00
Alexey 6231b748c4
Merge pull request #2651 from jveitchmichaelis/sgdr 
Implement stochastic gradient descent with warm restarts
 2019-03-30 14:25:45 +03:00
AlexeyAB f482590691 Added -map_points flag for mAP calculation for MSCOCO, PascalVOC2007 / 2010-2012, ImageNet 2019-03-27 01:34:06 +03:00
AlexeyAB fbf7a5fa4c Minor fix 2019-03-27 00:11:13 +03:00
AlexeyAB 9dddf82ab6 Compile fix. And minor fixes 2019-03-19 20:21:34 +03:00
Josh Veitch-Michaelis d64693eb77 add SGDR policy 2019-03-18 23:26:04 +00:00
AlexeyAB 84be2e8316 Minor fix 2019-03-18 18:11:39 +03:00
AlexeyAB 4cd10ee547 Another one fix 2019-03-18 16:05:42 +03:00
AlexeyAB d762df531f Compile fix 2019-03-18 02:53:48 +03:00
AlexeyAB b6e15f1656 ZED 3D Camera support added to ./uselib (yolo_console_cpp.exe) example 2019-03-18 02:48:52 +03:00
AlexeyAB 75f2a3e7cf Added object Detection & Tracking using conv-rnn layer on frames from video 2019-03-02 03:32:24 +03:00
Alexey b5336c1e0f
Merge pull request #2394 from cenit/dev/cenit/yoloAlexey_v2 
improve compatibility with c++ compilers
 2019-02-22 03:00:29 +03:00
Stefano Sinigardi 00de023601 fully separate C-API from CPP-API 2019-02-19 15:57:18 +01:00
Stefano Sinigardi 6e7c7976d7 move as many defs as possible away from darknet.h 2019-02-18 11:33:25 +01:00
Stefano Sinigardi b3579380dc improve compatibility with c++ compilers, prepare for CMake 2019-02-15 17:27:12 +01:00
AlexeyAB 21c9e9c2ba Minor fix 2019-02-13 16:54:22 +03:00
AlexeyAB 28106c0fd8 Optimized memory allocation for XNOR on CPU 2019-02-12 22:16:11 +03:00
AlexeyAB 5448e07445 Try to fuse conv_xnor+shortcut -> conv_xnor 2019-02-12 02:05:15 +03:00
AlexeyAB c50b0e0c8a Minor Python and C API improvement 2019-02-06 14:38:12 +03:00
AlexeyAB fa1415e3c2 CUDNN_HALF and CC 7.5 by default in darknet.sln 2019-02-05 20:43:07 +03:00
AlexeyAB d767e8ca38 Minor fixes 2019-02-04 23:29:06 +03:00
AlexeyAB 0e022d0912 Fixed timer 2019-01-18 21:29:06 +03:00
AlexeyAB bf6b40f4e9 Another CUDA performance improvements 2019-01-18 16:29:54 +03:00
AlexeyAB d2b5e142b3 Minor fix 2019-01-14 13:56:42 +03:00
AlexeyAB a590609b1b Compile fix 2019-01-12 13:50:51 +03:00
AlexeyAB 041cffd9b8 Compile fix 2019-01-11 01:05:44 +03:00
AlexeyAB 580b2fb83c Fixed ./darknet detect ... 2019-01-11 00:52:19 +03:00
AlexeyAB e6eba22adb Graceful shutdown closes sockets 2019-01-09 03:20:29 +03:00
AlexeyAB c31a245665 Experimental. Use -json_port 8070 to allow connection to the port:8070 to get json-stream 2019-01-09 00:11:59 +03:00
AlexeyAB 3ff5084590 Added include/darknet.h 2019-01-06 23:51:38 +03:00