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381f90ebb8
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Fixed CUDA error checking
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2019-01-29 13:46:30 +03:00 |
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2790464de1
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Another compile fix
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2019-01-29 00:11:32 +03:00 |
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ae8a8e6016
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Compile fix
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2019-01-29 00:05:08 +03:00 |
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640bdbc063
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LSTM, RNN, GRU - use connected_layer that uses cuDNN. Fixed CRNN for conv-layer with cuDNN.
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2019-01-28 23:50:51 +03:00 |
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0e1f3eaf35
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Fixed DLL/SO
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2019-01-28 20:32:30 +03:00 |
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3692c174c5
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Compile fix
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2019-01-28 20:25:14 +03:00 |
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110b5240a4
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Fixed LSTM-layer
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2019-01-28 20:22:14 +03:00 |
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85b99872cb
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Use non-default stream for all CUDA-functions
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2019-01-28 20:19:26 +03:00 |
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00b87281f3
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Fixed RNN (RNN, GRU, LSTM) with cuDNN (batch-norm)
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2019-01-27 03:42:44 +03:00 |
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9576cd4d89
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Fixed memory allocation
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2019-01-26 23:25:09 +03:00 |
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090d934c0f
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Minor speedup on CPU
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2019-01-26 19:12:46 +03:00 |
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630f441e08
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Minor CPU speedup - i7 6500K: 1000ms (AVX=1) instead of 1500ms (old AVX=1) and 2000ms (AVX=0)
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2019-01-26 02:54:41 +03:00 |
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da044776d1
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Merge pull request #2282 from davidssmith/master
add LSTM layer
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2019-01-24 20:19:57 +03:00 |
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a7366a5a0a
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Compile fix for CC < 7.3
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2019-01-24 20:19:01 +03:00 |
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5e778cd91e
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add LSTM layer
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2019-01-23 22:02:09 -06:00 |
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2d3220cef5
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Look at wmma::bmma_sync(), bmmaBitOpXOR, bmmaAccumulateOpPOPC
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2019-01-23 00:35:44 +03:00 |
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8960fbfb3f
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gcc on OSX required explicit return value for empty (char *) in detection_to_json
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2019-01-22 10:17:42 -08:00 |
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2cd37ec73e
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Another minor fix
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2019-01-22 17:31:07 +03:00 |
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46be08db37
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Minor fix
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2019-01-22 16:23:44 +03:00 |
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81f7fc2c7b
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Fixed network resize memory allocation
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2019-01-21 15:32:57 +03:00 |
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226322523e
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Fixed calc_anchors
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2019-01-21 14:54:51 +03:00 |
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17019854c3
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XNOR minor fix
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2019-01-19 03:18:50 +03:00 |
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6e99e852ff
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Network resize is fixed
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2019-01-18 23:30:10 +03:00 |
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0e022d0912
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Fixed timer
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2019-01-18 21:29:06 +03:00 |
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3a51f4af74
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Experimental repack
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2019-01-18 19:52:11 +03:00 |
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bf6b40f4e9
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Another CUDA performance improvements
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2019-01-18 16:29:54 +03:00 |
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5343aa4235
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CUDA minor performance improvement
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2019-01-16 18:08:11 +03:00 |
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4c05166215
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Temporary experimental XNOR on GPU (repack channels)
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2019-01-16 02:43:44 +03:00 |
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83620d8b28
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Training minor fix
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2019-01-14 14:42:48 +03:00 |
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d2b5e142b3
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Minor fix
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2019-01-14 13:56:42 +03:00 |
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a590609b1b
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Compile fix
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2019-01-12 13:50:51 +03:00 |
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70260cda24
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Added -mjpeg_port 8090 for Training. Loss-chart saved to chart.png even when used -dont_show.
mAP is calculated during training even without OpenCV.
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2019-01-12 13:45:37 +03:00 |
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5c55137687
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Minor fix
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2019-01-12 02:56:30 +03:00 |
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eb64e2b13c
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Added SO_REUSEADDR and SO_REUSEPORT for JSON & MJPEG streams
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2019-01-11 23:11:25 +03:00 |
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937306f0c9
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Fixed JSON-stream and MJPEG-stream on Windows and Linux.
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2019-01-11 22:39:29 +03:00 |
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95904cf65a
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Bad memory allocation
the variable [network->seen is declared uint64_t* ](https://github.com/AlexeyAB/darknet/blob/master/include/darknet.h#L519), but constructing function allocates only 4 bytes for (int) here
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2019-01-11 14:56:03 +02:00 |
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041cffd9b8
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Compile fix
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2019-01-11 01:05:44 +03:00 |
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580b2fb83c
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Fixed ./darknet detect ...
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2019-01-11 00:52:19 +03:00 |
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97038fefa6
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Fixed bug with saving training Loss-Chart
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2019-01-09 21:47:37 +03:00 |
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5ee166032a
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Use detector test...-out result.json -dont_show < train.txt to save results to JSON-file
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2019-01-09 17:49:37 +03:00 |
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596311e2c7
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Another compile fix )
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2019-01-09 13:53:33 +03:00 |
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63a2f005aa
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Compile fix
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2019-01-09 13:46:53 +03:00 |
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e6eba22adb
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Graceful shutdown closes sockets
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2019-01-09 03:20:29 +03:00 |
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c31a245665
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Experimental. Use -json_port 8070 to allow connection to the port:8070 to get json-stream
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2019-01-09 00:11:59 +03:00 |
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ead84c8ba2
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Now you can un-comment several lines for saving images of cropped objects to /result_img/ directory
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2019-01-08 18:34:59 +03:00 |
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3ff5084590
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Added include/darknet.h
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2019-01-06 23:51:38 +03:00 |
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c56931dd75
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Compile fix
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2019-01-06 16:00:00 +03:00 |
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c75fbb5f2e
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Minor fix
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2019-01-06 15:45:10 +03:00 |
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48d461f9bd
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Temporary experimental XNOR improvements on CPU
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2019-01-04 23:19:45 +03:00 |
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527578744b
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Minor fix
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2018-12-29 22:56:38 +03:00 |
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