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6fd90762c5d1c322eafefc8fd21fc6d750853d21
darknet/src
History
AlexeyAB 6fd90762c5 Fix: Ignore incorrect dataset labels instead of causing seg-fault error.
2018-05-28 22:57:53 +03:00
..
activation_kernels.cu
Added CUDA-streams to Darknet-Yolo forward inference
2017-12-31 20:10:32 +03:00
activation_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
activation_layer.h
idk
2016-01-18 15:40:14 -08:00
activations.c
checkpoint
2016-06-20 13:18:59 -07:00
activations.h
adding new tiny-yolo
2016-09-07 22:27:56 -07:00
art.c
Supported OpenCV 3.0 and 2.4.13. Supported Windows and Linux.
2017-08-03 00:48:29 +03:00
avgpool_layer_kernels.cu
Fix for cuda 7.5
2015-11-15 19:51:26 -08:00
avgpool_layer.c
🔥 🔥 :dragonite:
2016-11-16 00:15:46 -08:00
avgpool_layer.h
shortcut layers, msr networks
2015-12-14 11:57:10 -08:00
batchnorm_layer.c
Accelerated by another 5% using FP16/32 Batch-norm for Tensor Cores.
2018-04-17 02:51:11 +03:00
batchnorm_layer.h
stable
2016-05-11 10:45:50 -07:00
blas_kernels.cu
Added Yolo v3
2018-03-28 02:59:03 +03:00
blas.c
Added Yolo v3
2018-03-28 02:59:03 +03:00
blas.h
Added Yolo v3
2018-03-28 02:59:03 +03:00
box.c
Fixed typo for calc_anchors
2018-04-20 01:59:04 +03:00
box.h
Minor fixes
2018-05-23 18:35:08 +03:00
captcha.c
better multigpu
2016-09-20 11:34:49 -07:00
cifar.c
Changed class to class_id
2018-03-01 15:14:58 +03:00
classifier.c
classifier.c - add the awesome training chart and make sure "top" is not bigger than "classes" in datacfg file.
2018-05-26 21:42:53 +08:00
classifier.h
so much need to commit
2016-05-06 16:25:16 -07:00
coco.c
Fixed compile
2018-05-22 00:33:24 +03:00
col2im_kernels.cu
updates and things
2016-09-01 16:48:41 -07:00
col2im.c
updates and things
2016-09-01 16:48:41 -07:00
col2im.h
Detection is back, baby\!
2015-02-10 19:41:03 -08:00
compare.c
Changed class to class_id
2018-03-01 15:14:58 +03:00
connected_layer.c
Improve training performance - batch-norm using cuDNN.
2018-03-20 02:16:51 +03:00
connected_layer.h
adding new tiny-yolo
2016-09-07 22:27:56 -07:00
convolutional_kernels.cu
Accelerated by another 5% using FP16/32 Batch-norm for Tensor Cores.
2018-04-17 02:51:11 +03:00
convolutional_layer.c
Fixed memory leaks for Yolo: train, test
2018-05-23 18:27:18 +03:00
convolutional_layer.h
Added support for Tensor Cores CC >= 7.0 (V100). For FP16/32 (mixed precision) define CUDNN_HALF should be used.
2018-02-25 16:29:44 +03:00
cost_layer.c
🔥 🔥 :dragonite:
2016-11-16 00:15:46 -08:00
cost_layer.h
shortcut layers, msr networks
2015-12-14 11:57:10 -08:00
cpu_gemm.c
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
crnn_layer.c
ADAM
2016-10-26 08:35:44 -07:00
crnn_layer.h
stuff
2016-02-29 13:54:12 -08:00
crop_layer_kernels.cu
lots of stuff
2016-01-28 12:30:38 -08:00
crop_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
crop_layer.h
lots of stuff
2016-01-28 12:30:38 -08:00
cuda.c
Fixed network resizing (random=1) for non-square networks
2018-05-14 12:20:38 +03:00
cuda.h
Fixed Python detection
2018-04-17 14:21:23 +03:00
darknet.c
Minor fixes
2018-05-23 18:35:08 +03:00
data.c
Fix: Ignore incorrect dataset labels instead of causing seg-fault error.
2018-05-28 22:57:53 +03:00
data.h
Fix issue #674: parameter "flip" is added to [net] parameters for classifier and detector
2018-04-21 23:22:16 +03:00
deconvolutional_kernels.cu
good chance I didn't break anything
2016-09-12 13:55:20 -07:00
deconvolutional_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
deconvolutional_layer.h
lots of stuff
2016-01-28 12:30:38 -08:00
demo.c
Fixed memory leaks for Yolo: train, test
2018-05-23 18:27:18 +03:00
demo.h
Fixed compile
2018-05-22 00:33:24 +03:00
detection_layer.c
Added Yolo v3
2018-03-28 02:59:03 +03:00
detection_layer.h
Added Yolo v3
2018-03-28 02:59:03 +03:00
detector.c
Minor fix
2018-05-27 16:53:42 +03:00
dice.c
better multigpu
2016-09-20 11:34:49 -07:00
dropout_layer_kernels.cu
lots of stuff
2016-01-28 12:30:38 -08:00
dropout_layer.c
🔥 🔥 :dragonite:
2016-11-16 00:15:46 -08:00
dropout_layer.h
lots of stuff
2016-01-28 12:30:38 -08:00
gemm.c
Fixed AVX detection on Linux.
2018-04-16 16:01:35 +03:00
gemm.h
go updates
2016-03-16 04:30:48 -07:00
getopt.c
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
getopt.h
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
gettimeofday.c
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
gettimeofday.h
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
go.c
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
gru_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
gru_layer.h
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
http_stream.cpp
Minor fixes
2018-05-23 18:35:08 +03:00
http_stream.h
Fixed memory leaks. And fixes for Web-camera and IP-camera.
2018-05-04 23:52:05 +03:00
im2col_kernels.cu
Added CUDA-streams to Darknet-Yolo forward inference
2017-12-31 20:10:32 +03:00
im2col.c
updates and things
2016-09-01 16:48:41 -07:00
im2col.h
Detection is back, baby\!
2015-02-10 19:41:03 -08:00
image.c
Fixed top-coordinate output when -ext_output is used for video
2018-05-28 19:02:05 +03:00
image.h
Output improvements for detector results:
2018-05-08 14:09:35 +03:00
layer.c
Fixed memory leaks for Yolo: train, test
2018-05-23 18:27:18 +03:00
layer.h
Added BFLOPs output for network configurations
2018-05-14 13:34:40 +03:00
list.c
Fixed memory leaks for Yolo: train, test
2018-05-23 18:27:18 +03:00
list.h
Fixed memory leaks for Yolo: train, test
2018-05-23 18:27:18 +03:00
local_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
local_layer.h
shortcut layers, msr networks
2015-12-14 11:57:10 -08:00
matrix.c
Changed class to class_id
2018-03-01 15:14:58 +03:00
matrix.h
Go
2016-03-13 23:18:42 -07:00
maxpool_layer_kernels.cu
Added CUDA-streams to Darknet-Yolo forward inference
2017-12-31 20:10:32 +03:00
maxpool_layer.c
Added BFLOPs output for network configurations
2018-05-14 13:34:40 +03:00
maxpool_layer.h
updates and things
2016-09-01 16:48:41 -07:00
network_kernels.cu
Compile fix
2018-04-06 01:31:04 +03:00
network.c
Minor fix
2018-05-27 16:53:42 +03:00
network.h
Fixed darknet.py - uses batch=1 by default
2018-05-16 15:05:46 +03:00
nightmare.c
stuff
2016-02-29 13:54:12 -08:00
normalization_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
normalization_layer.h
shortcut layers, msr networks
2015-12-14 11:57:10 -08:00
option_list.c
Minor fixes
2018-05-23 18:35:08 +03:00
option_list.h
Yolo can be used from Python 2.x using /darknet.py on Linux or darknet/x64/darknet.py on Windows
2018-04-12 22:32:57 +03:00
parser.c
For Release build - equality check: output of [convolutional] == input of [yolo].
2018-05-22 02:37:52 +03:00
parser.h
Fixed for Linux: detection for batch > 1 and 0x0d at command line
2017-10-29 18:34:55 +03:00
region_layer.c
Minor fix: warning-message if in labels class_id >= classes in cfg-file
2018-05-22 23:00:22 +03:00
region_layer.h
Changed cmd and sh files. Added new cfg files for old Yolo v2.
2018-03-28 23:23:37 +03:00
reorg_layer.c
Added: calc_anchors
2018-03-04 03:09:40 +03:00
reorg_layer.h
stuff and things
2016-11-07 23:42:19 -08:00
reorg_old_layer.c
Fixed reorg_layer. Old reorg can be used as [reorg_old] in the cfg-file.
2018-03-03 18:09:46 +03:00
reorg_old_layer.h
Fixed reorg_layer. Old reorg can be used as [reorg_old] in the cfg-file.
2018-03-03 18:09:46 +03:00
rnn_layer.c
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
rnn_layer.h
So I have this new programming paradigm.......
2016-09-24 23:12:54 -07:00
rnn_vid.c
Supported OpenCV 3.0 and 2.4.13. Supported Windows and Linux.
2017-08-03 00:48:29 +03:00
rnn.c
better multigpu
2016-09-20 11:34:49 -07:00
route_layer.c
🔥 🔥 yolo v2 🔥 🔥
2016-11-17 12:18:24 -08:00
route_layer.h
hey
2016-11-15 22:53:58 -08:00
shortcut_layer.c
Fixed resize_shortcut_layer() for resnet50_yolo.cfg on Linux
2018-04-13 17:50:01 +03:00
shortcut_layer.h
shortcut_layer resize for random=1
2018-03-16 01:49:01 +03:00
softmax_layer.c
It takes into account the Difficult for calculating mAP for PascalVOC
2018-02-16 23:55:37 +03:00
softmax_layer.h
lots of stuff
2016-01-28 12:30:38 -08:00
stb_image_write.h
Fixed STB
2017-08-09 13:34:58 +03:00
stb_image.h
Fixed STB
2017-08-09 13:34:58 +03:00
super.c
better multigpu
2016-09-20 11:34:49 -07:00
swag.c
better multigpu
2016-09-20 11:34:49 -07:00
tag.c
better multigpu
2016-09-20 11:34:49 -07:00
tree.c
Added Yolo v3
2018-03-28 02:59:03 +03:00
tree.h
Added Yolo v3
2018-03-28 02:59:03 +03:00
unistd.h
Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)
2016-12-02 17:13:40 +03:00
upsample_layer.c
Added Yolo v3
2018-03-28 02:59:03 +03:00
upsample_layer.h
One more try
2018-03-28 03:27:35 +03:00
utils.c
Fixed memory leaks for Yolo: train, test
2018-05-23 18:27:18 +03:00
utils.h
Supported files for training: jpg, jpeg, bmp, png, ppm - and UPPER CASE extensions
2018-05-20 18:43:15 +03:00
voxel.c
Supported OpenCV 3.0 and 2.4.13. Supported Windows and Linux.
2017-08-03 00:48:29 +03:00
writing.c
better multigpu
2016-09-20 11:34:49 -07:00
yolo_console_dll.cpp
Fixed OPENCV_VERSION
2018-05-16 15:19:01 +03:00
yolo_layer.c
Minor fix: warning-message if in labels class_id >= classes in cfg-file
2018-05-22 23:00:22 +03:00
yolo_layer.h
Minor fixes
2018-04-11 23:04:23 +03:00
yolo_v2_class.cpp
Yolo can be used from Python 2.x using /darknet.py on Linux or darknet/x64/darknet.py on Windows
2018-04-12 22:32:57 +03:00
yolo_v2_class.hpp
sure ODR
2018-04-18 16:00:06 +03:00
yolo.c
Fixed compile
2018-05-22 00:33:24 +03:00