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darknet
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146 Commits

Author SHA1 Message Date
AlexeyAB 8c9c517189 [yolo] new_coords=1 2020-11-16 16:29:06 +03:00
AlexeyAB 8993a24747 Added: [net] contrastive_color=0 and [contrastive] contrastive_neg_max 2020-09-21 05:48:15 +03:00
AlexeyAB acd8f31969 Added [yolo] obj_normalizer=1.0 delta_normalizer=1.0 2020-08-30 01:55:49 +03:00
AlexeyAB 05dee78fa3 Added [convolutional] coordconv=1 for GPU-only 2020-08-17 02:13:46 +03:00
AlexeyAB 0d8718a434 Added layer: [history] history_size=4 2020-08-16 17:55:10 +03:00
AlexeyAB 10fdf9a852 P_constrastive_f_det_gpu() 2020-08-05 03:18:33 +03:00
AlexeyAB 0b36b29b6a Minor fix 2020-08-02 17:56:17 +03:00
AlexeyAB c61771e1f1 Merge branch 'master' of github.com:AlexeyAB/darknet 2020-07-25 14:57:00 +03:00
AlexeyAB 74f32a3928 Improved speed of [contrastive] layer. Added Hard-Mish activation. Added [maxpool] maxpool_zero_nonmax=1 param 2020-07-25 14:56:48 +03:00
Alexey c13db432bd
Merge pull request #4814 from Dev-Nash/master 
Minor addition
 2020-07-25 14:51:12 +03:00
Juuso Alasuutari f5258a83e2 Fix member initialization ordering 
Signed-off-by: Juuso Alasuutari <juuso.alasuutari@gmail.com>
 2020-07-10 15:10:09 +03:00
AlexeyAB 37753e0cb4 Improved tracking (new params) 2020-07-08 00:08:45 +03:00
AlexeyAB ccb392ddf2 Show track_id for models with contrastive learning 2020-07-07 19:30:49 +03:00
AlexeyAB ce2ae2c5c3 put embeddings to the detections 2020-07-07 02:49:43 +03:00
AlexeyAB 2fca3c399b Fixed bug in contrastive learning 2020-07-07 00:43:17 +03:00
AlexeyAB 73beba671d Contrastive loss is fixed to work with both Classifier and Detector 2020-07-06 21:25:23 +03:00
AlexeyAB f13532ce60 Contrastive learning for training Detector to track objects 2020-07-06 01:50:44 +03:00
AlexeyAB 8f900493c6 SAT for contrastive loss 2020-06-21 03:02:52 +03:00
AlexeyAB a553899505 Added Supervised and Unsupervised Contrastive loss for Classifier [net] contrastive=1 unsupervised=1 [contrastive] classes=1000 2020-06-15 19:22:47 +03:00
AlexeyAB 09991d0488 Added Contrastive loss 2020-06-14 05:11:22 +03:00
AlexeyAB 6c6f04a9b3 [net] mosaic_bound=1 fixed bboxes going out of bounds. Count rewritten bboxes. Changed self-adversarial-training. 2020-06-07 04:41:01 +03:00
AlexeyAB c625cc6503 Added [conv_lstm] time_normalizer=0.5 2020-06-01 17:51:29 +03:00
AlexeyAB e455cdef78 Added [conv_lstm] lstm_activation=tanh shortcut=1 2020-06-01 05:13:21 +03:00
AlexeyAB 269878a44d Added [conv_lstm] bottleneck=1 - to make the layer cheaper 2020-05-29 03:17:19 +03:00
AlexeyAB 73768ef6e3 Added [net] max_chart_loss=50 for scale y-axis of Loss-chart 2020-05-15 18:52:20 +03:00
AlexeyAB 88a39b31d3 Added param [yolo] resize=2.0 for resizing image [1/2 - 2x] without changing aspect ratio (while jitter=0.3 changes aspect ratio) 2020-05-10 02:17:00 +03:00
AlexeyAB f5105342be Added Gradient Centralization: [convolutional] grad_centr=1 2020-05-09 22:29:07 +03:00
AlexeyAB 424632f336 Fixed typo weights_normalizion -> weights_normalization 2020-05-08 13:20:57 +03:00
AlexeyAB ccafff912b Demo speed fixed 2020-05-08 12:31:08 +03:00
AlexeyAB 0fffb686fd Added param [yolo] objectness_smooth=1 2020-05-07 17:22:09 +03:00
AlexeyAB 6ebaef3095 Added GELU activation 2020-04-27 04:36:39 +03:00
AlexeyAB b573eab63f Minor fix 2020-04-22 20:49:27 +03:00
Alexey 88f28f7fcc
Merge pull request #4099 from enesozi/master 
Batch inference added
 2020-04-22 14:46:38 +03:00
AlexeyAB 4786d557f9 Fixed memory leak for Training with OPENCV=1 - create pool of CPU-threads only once (bug in OpenCV - it allocates memory for each thread without deallocation) 2020-04-18 19:01:20 +03:00
AlexeyAB d4b2ed9d22 Added param train_only_bn=1 to train only Batch-normalization for this and previous layers 2020-04-17 19:06:15 +03:00
AlexeyAB 68062fa4fb Added param to [yolo] iou_thresh_kind=giou iou_thresh=0.213 2020-03-31 21:12:41 +03:00
AlexeyAB 4cd21785fc Minor fix 2020-03-31 19:15:33 +03:00
AlexeyAB 6a77b8dc9a Show receptive field 2020-03-29 20:00:03 +03:00
AlexeyAB 8cb1f0c44f Minor fix 2020-03-26 02:34:01 +03:00
AlexeyAB 9919612006 Added attention during training: [net] adversarial_lr=0.05 attention=1 2020-03-26 01:25:04 +03:00
AlexeyAB 978c2e00ed self-adversarial training 2020-03-26 00:16:57 +03:00
AlexeyAB 5e904d5b1e adversarial attack - experimental 2020-03-24 22:23:15 +03:00
AlexeyAB a234a50223 Added efficientnet-lite3.cfg and activation=relu6 2020-03-23 21:56:32 +03:00
Alexey 5f5ec84e40
Merge pull request #4783 from kseniaryabinova/chart_argument 
Added -chart argument
 2020-03-23 00:19:29 +03:00
AlexeyAB 5c2ddd301e Added param to cfg: [net] gaussian_noise=40 2020-03-22 17:38:07 +03:00
AlexeyAB d11caf486d Fixed BiFPN and label_smothing for Detection 2020-03-14 03:24:46 +03:00
AlexeyAB 5e54523960 Added loss_scale for Mixed-Precision on Tensor-Cores 2020-03-11 19:47:13 +03:00
AlexeyAB c814d56ec1 Added [net] dynamic_minibatch=1 for increasing mini_batch_size when random=1 is used 2020-03-02 15:27:43 +03:00
AlexeyAB ef979a1fd2 For CPU and GPU structures in the darknet.h have the same size 2020-03-01 14:11:08 +03:00
AlexeyAB 6fb817f68b Accelerated DropBlock on GPU 2020-02-22 01:04:55 +03:00