AlexeyAB 74f98da211 Show IoU, save anchors to file.Show anchors in the window if used -show

2018-03-04 17:59:23 +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

:vegan: :charizard:

2016-11-24 22:56:23 -08:00

batchnorm_layer.h

stable

2016-05-11 10:45:50 -07:00

blas_kernels.cu

Added CUDA-streams to Darknet-Yolo forward inference

2017-12-31 20:10:32 +03:00

blas.c

Fixed reorg_layer. Old reorg can be used as [reorg_old] in the cfg-file.

2018-03-03 18:09:46 +03:00

blas.h

It takes into account the Difficult for calculating mAP for PascalVOC

2018-02-16 23:55:37 +03:00

box.c

Changed class to class_id

2018-03-01 15:14:58 +03:00

box.h

CVPR Experiments

2015-11-03 19:23:42 -08:00

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

Changed class to class_id

2018-03-01 15:14:58 +03:00

classifier.h

so much need to commit

2016-05-06 16:25:16 -07:00

coco.c

Compile fix

2018-03-01 16:33:40 +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

🔥 🔥 :dragonite:

2016-11-16 00:15:46 -08:00

connected_layer.h

adding new tiny-yolo

2016-09-07 22:27:56 -07:00

convolutional_kernels.cu

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

convolutional_layer.c

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

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

Tracking and Streaming fixed.

2018-01-07 03:30:51 +03:00

cuda.h

If there is excessive GPU-RAM consumption by CUDNN then then do not use Workspace

2018-02-21 19:14:01 +03:00

darknet.c

cheating a little here

2016-11-26 21:21:04 -08:00

data.c

Changed class to class_id

2018-03-01 15:14:58 +03:00

data.h

Fixed compile error

2018-02-08 01:24:38 +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

One more fix

2018-03-01 16:42:30 +03:00

demo.h

Compile fix

2018-03-01 16:33:40 +03:00

detection_layer.c

It takes into account the Difficult for calculating mAP for PascalVOC

2018-02-16 23:55:37 +03:00

detection_layer.h

So I have this new programming paradigm.......

2016-09-24 23:12:54 -07:00

detector.c

Show IoU, save anchors to file.Show anchors in the window if used -show

2018-03-04 17:59:23 +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

Added CUDA-streams to Darknet-Yolo forward inference

2017-12-31 20:10:32 +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

Fix

2018-02-22 23:16:36 +03:00

http_stream.h

Added param -http_port 8090 to show MJPEG-stream in the WebBrowser (Chrome/Firefox)

2018-02-18 02:31:56 +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

Added param -dont_show to detect objects on servers without display, like Amazon EC2

2018-03-01 16:05:39 +03:00

image.h

Fixed classifier for AlexNet and Resnet50

2017-09-15 20:31:48 +03:00

layer.c

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

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

list.c

Slowly refactoring and pushing to GPU

2014-05-02 15:20:34 -07:00

list.h

…

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

cpu batch norm works

2016-11-18 21:51:36 -08:00

maxpool_layer.h

updates and things

2016-09-01 16:48:41 -07:00

network_kernels.cu

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

network.c

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

network.h

Detection and Tracking work well

2018-01-08 01:47:50 +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

new font strategy

2016-11-05 14:09:21 -07:00

option_list.h

new font strategy

2016-11-05 14:09:21 -07:00

parser.c

Fixed reorg_layer. Old reorg can be used as [reorg_old] in the cfg-file.

2018-03-03 18:09:46 +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

Changed class to class_id

2018-03-01 15:14:58 +03:00

region_layer.h

Parameter (max) in the cfg-file has an effect on the Yolo-training

2018-02-10 01:48:38 +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

So I have this new programming paradigm.......

2016-09-24 23:12:54 -07:00

shortcut_layer.h

shortcut layers, msr networks

2015-12-14 11:57:10 -08:00

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

hey

2016-11-15 22:53:58 -08:00

tree.h

hey

2016-11-15 22:53:58 -08:00

unistd.h

Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)

2016-12-02 17:13:40 +03:00

utils.c

Replaced '\r' and '\n' by 0x0d and 0x0a

2018-01-22 19:20:58 +03:00

utils.h

More usage rand_s()

2017-08-18 02:12:44 +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

Minor fix

2018-02-21 00:14:46 +03:00

yolo_v2_class.cpp

Changed definition location to adhere to compatability promises

2018-02-19 14:26:53 -08:00

yolo_v2_class.hpp

Fixed Tracking using SparsePyrLKOpticalFlow on CPU

2018-02-20 02:43:04 +03:00

yolo.c

Compile fix

2018-03-01 16:33:40 +03:00